About The Role The role owns building, training, and deploying machine learning models that run in production — not prototypes that die in a notebook. The team ships models that serve real traffic daily, where accuracy, latency, and cost all matter. This is a hands-on engineering role: designing training pipelines, optimizing inference, and building the MLOps infrastructure that keeps models healthy at scale. The role reports into an applied ML org and works directly with data engineers, backend teams, and product stakeholders. Key Responsibilities Design, train, and productionize ML models (classification, ranking, NLP, and LLM-based systems) using PyTorch or TensorFlow Build and maintain scalable data and feature pipelines in Python and PySpark, ensuring consistency between training and serving environments Deploy and version models on AWS or GCP using SageMaker, Vertex AI, or Kubernetes-based serving stacks (TorchServe, Triton, KServe) Optimize model inference for latency and cost: quantization, distillation, batching, and GPU utilization tuning Instrument model monitoring for data drift, performance regression, and automated retraining triggers using tools like Evidently or custom pipelines Run rigorous offline and online experiments (A/B tests, shadow deployments) and communicate results clearly to technical and non-technical stakeholders Contribute to ML platform improvements: CI/CD for models, experiment tracking (MLflow, W&B), and shared evaluation frameworks What We Are Looking For 3–7 years of experience in machine learning engineering or applied ML, including multiple models shipped to production Expert-level Python and hands-on depth with PyTorch or TensorFlow; strong software engineering fundamentals (testing, code review, system design) Production experience with cloud ML infrastructure: AWS (SageMaker, ECS/EKS) or GCP (Vertex AI, GKE) Solid grasp of ML fundamentals: evaluation metrics, regularization, class imbalance, and the gap between offline metrics and real-world performance Experience with MLOps tooling: Docker, Kubernetes, CI/CD pipelines, and experiment tracking systems BS in Computer Science, Statistics, Engineering, or equivalent practical experience; MS a plus Bonus: experience fine-tuning or serving LLMs, GPU optimization (CUDA, TensorRT), Rust/Go for inference services, or contributions to open-source ML projects
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Job Description A fast-growing technology company is seeking a Senior Machine Learning Engineer to join its team in the Greater Boston area. This is a hybrid opportunity that combines cutting-edge machine learning development with the chance to influence the direction of AI-driven products and platforms. In this role, you will design, develop, deploy, and optimize machine learning models that drive business-critical applications. You will work closely with data scientists, software engineers, product managers, and leadership to transform complex data into scalable solutions. The ideal candidate is passionate about applying advanced machine learning techniques in production environments and has a strong track record of delivering measurable results. This position offers the opportunity to work on challenging problems involving predictive modeling, deep learning, large-scale data processing, and MLOps within a collaborative and innovative environment. Required Skills & Experience 7+ years of professional experience in Machine Learning, Data Science, or Software Engineering Strong experience building and deploying machine learning models in production environments Proficiency with Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform Deep understanding of statistics, machine learning algorithms, model evaluation, and experimentation Experience with data engineering tools and distributed computing frameworks Strong software engineering fundamentals, including version control, testing, and CI/CD Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field Desired Skills & Experience Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field Experience with large language models (LLMs), generative AI, or NLP applications Familiarity with Kubernetes, Docker, and MLOps best practices Experience building recommendation systems, forecasting models, or computer vision applications Exposure to real-time machine learning systems and large-scale data pipelines Prior leadership or mentoring experience What You Will Be Doing Daily Responsibilities 80% Hands On Design and develop machine learning models and AI-driven solutions Build scalable training, deployment, and monitoring pipelines Collaborate with product and engineering teams to translate business requirements into technical solutions Optimize model performance, reliability, and scalability Conduct experimentation, model validation, and performance analysis Establish best practices for machine learning engineering and MLOps Mentor junior engineers and contribute to technical leadership initiatives Stay current with emerging machine learning and AI technologies The Offer Base Salary: $220,000 - $240,000 per year Performance-based annual bonus Equity or long-term incentive package Hybrid work schedule (3 days onsite) in the Boston, MA area You will receive the following benefits Medical Insurance Dental Benefits Vision Benefits Paid Time Off (PTO) 401(k) with company match Flexible work arrangements Professional development and continuing education support Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Posted By: Nick Ramler
Description We are seeking a talented Data Engineer to join our EC2 + EBS + Networking Product BI team. You will own end-to-end analytics for one or more Compute service areas — building and monitoring ETL pipelines, delivering executive reports, creating metrics and callouts on service performance, and producing deep-dive analyses that shape product roadmaps for services used by millions of AWS customers worldwide. Key job responsibilities ETL Monitoring & Pipeline Operations: Own the reliability and timeliness of 200+ data pipelines serving executive-facing reports. Today, the team uses automated alarms for real-time monitoring and AI-powered agents that self-heal failures and triage tasks — you will maintain and extend this system using Redshift, orchestration frameworks, and AWS data services. Report Delivery & Business Reviews: Own and operate Weekly/Daily Business Review (WBR/DBR) reporting for EC2 services, ensuring accurate, timely delivery to CEO/S-Team and VP-level stakeholders. Today, report generation, validation, and delivery are automated via LLMs — you will operate and improve these workflows. Callout Generation: Generate callouts on service performance — identifying week-over-week trends, anomalies, and key drivers to surface in executive reviews. Today, callout generation across all 9 services is LLM-automated — you will own the quality bar and continuously improve prompt and pipeline accuracy. Data Ingestion & Metric Creation: Ingest new data sources and build metrics that track business health (usage, capacity, adoption, customer growth). Today, the team maintains scalable ETL pipelines in Redshift with workflow orchestration — you will ensure metrics remain sustainable, reproducible, and available on demand. Analysis & Deep Dives: Conduct deep-dive analyses for Product Managers, Sales, and Finance teams. Today, the team uses a proprietary analytics platform with governed SOPs, stored context, and pre-built queries — enabling any stakeholder to deep-dive with technical depth and reproducibility. You will author and maintain these SOPs and analyses. Dashboard Development: Design, build, and maintain interactive dashboards (QuickSight, Weave) covering product trends, customer growth, instance utilization, and feature adoption. Today, dashboards serve 100+ Product Managers across 11 engagement areas — you will own dashboards for your service areas and improve self-serve capabilities. Stakeholder Partnership: Work closely with Product Managers, service finance teams, and cross-functional partners to translate business questions into data products and present findings to senior leaders. Today, the team partners across EC2, Networking, and Compute product families — you will be the primary analytics point of contact for your assigned service areas. About The Team We are the EC2 + Networking Product BI team within AWS Analytics & Engineering (AAE). We serve as the data and analytics partner for Amazon Elastic Compute Cloud (EC2), Networking Services, and adjacent Compute product families — supporting 100+ Product Managers across 11 engagement areas. Our Core Work Includes ETL Pipeline Monitoring & Operations: We build and operate 200+ data pipelines that ingest, transform, and serve petabyte-scale datasets across EC2, Networking, and Compute services. Reliability and timeliness are critical — our reports feed directly into CEO/S-Team weekly reviews. We use automated alarms for real-time pipeline monitoring and AI-powered agents to self-heal failures and triage tasks, minimizing manual intervention at this scale. Report Delivery & Callout Generation: We deliver Weekly and Daily Business Review (WBR/DBR) reports across 9 Compute services (EC2 Core, Gen AI, EBS, Bedrock, SageMaker, ECS, EKS, ECR, Lambda), generating callouts on service performance that inform executive decision-making. Report generation, validation, and callout generation are all done via LLMs — enabling consistent quality, accuracy, and speed at scale. Data Ingestion & Metric Creation: We design and maintain metrics that track business health — usage, capacity, adoption, customer growth — ensuring they are sustainable, reproducible, and available on demand. Analysis & Deep Dives: We produce analyses for Product Managers, Sales, and Finance teams using our proprietary analytics platform where governed SOPs, context, and prior work live. These SOPs help all PMs, Sales, and Finance stakeholders deep-dive with governed data, technical depth, and the right queries — enabling reproducibility and easy follow-ups across the organization. Everything we build is designed to be sustainable, reproducible, and available on demand — so any team member can pick up, extend, or re-run work without starting from scratch. Basic Qualifications 3+ years of data engineering experience 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience 3+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience 3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience 3+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience 3+ years of in the job offered or a related occupation experience 1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually Company Amazon Development Center U.S., Inc. Job ID: A10591361
Description We are looking for a Senior Business Intelligence Engineer (BIE) to drive the use of AI in analytics with high exposure to executive level business decision making support. In this role you will define and implement scalable processes, diving deep into the product and program metrics globally across multiple business units. You will apply both business and technical acumen in a fast-paced, ambiguous and innovative environment. Key job responsibilities Design and build AI tools that derive actionable insights from some of the world's largest datasets Own the design and development of automated solutions for recurrent reporting and in-depth analyses including learning, publishing, and managing our operational business metrics decks Drive continuous improvement of our analytical processes by automating, scaling, and simplifying self-service support for our customers Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation A day in the life Your day will be a blend of technical investigation and collaborative problem-solving. You'll dive deep into the problems our stakeholders are facing, and design tech solutions to solve them. You will teach your teammates how to better use the latest technologies such as AI, both in their internal processes and outwardly with their stakeholder-facing products. When stakeholders come to you with problems, you will be expected to find a sustainable solution that prevents the problems from surfacing again. You will turn complex input metrics into actionable insights that drive high-impact business outcomes. Expect to engage in cross-functional discussions, influence executive leadership, and develop strategies to enhance org-wide AI effectiveness. About The Team We are a collaborative group of technology and business experts dedicated to pushing the boundaries of AI performance optimization. Our team thrives on innovation, continuous learning, and creating transformative solutions that make a tangible impact across various business domains. We value diverse perspectives and empower team members to contribute unique insights that drive our collective success. Basic Qualifications 5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience Experience creating AI-based tools that are used by non-technical stakeholders at an executive level Experience managing, analyzing and communicating results to executive leadership Experience processing large, multi-dimensional datasets from multiple sources Experience in the data/BI space Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field Preferred Qualifications Experience working directly with business stakeholders to translate between data and business needs Experience with AWS technologies Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. Experience in scripting for automation (e.g. Python) and advanced SQL skills. Master's degree in statistics, data science, or an equivalent quantitative field Experience developing automated reporting Statistical analysis experience Experience programming to extract, transform and clean large (multi-TB) data sets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, AZ, Tempe - 130,400.00 - 176,300.00 USD annually USA, TN, Nashville - 123,800.00 - 167,500.00 USD annually USA, TX, Austin - 130,400.00 - 176,300.00 USD annually USA, VA, Arlington - 130,400.00 - 176,300.00 USD annually USA, WA, Bellevue - 130,400.00 - 176,300.00 USD annually Company Amazon.com Services LLC Job ID: A10592915
Let's face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. We do. We can't cram it all in here, but you'll start noticing it from the first interview. Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you've ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters. This makes for a remarkably focused and fulfilling work experience. Frankly, it's not for everyone. But for people with fire in their belly, it's a game-changing, career-defining, soul-lifting move. Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture. If that sounds exciting—and the job description below feels like a fit—we really should start talking. We are a hybrid company with a focus on in-person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week, or eight days per month. Our US hub locations include: Austin, TX; New York City, NY; San Francisco, CA; and the Washington, DC metro area. Please ensure you can realistically commit to this structure before applying. The Opportunity BetterUp is looking for a Senior Analytics Engineer with experience building data modeling systems within a modern data stack, supported by intelligent data warehousing and adaptable business intelligence systems, to join our team. At BetterUp we believe data is critical to our success and this role on the Analytics Engineering team will be crucial to this strategy of delivering exceptional data products that will drive key business decisions. If you are passionate about helping people reach their potential, thrive in a fast-paced startup environment where you get to build the future, and love data then this is the role for you. What You'll Do Architect, build and maintain efficient and reliable data products (dbt models, pipelines, Looker explores, visualizations, etc.) that enable data driven decision making. Build and maintain ELT pipelines from source systems to data warehouses. Influence strategy and drive execution of our analytical roadmap delivering self-service business intelligence at scale. Provide leadership and mentorship to other engineers fostering collaboration, knowledge sharing and a high bar for quality. Improve end users trust and confidence by driving best practices with regards to data discoverability, observability, lineage and stewardship. Contribute towards a robust data security strategy protecting sensitive information and content. Solve critical business problems through the application of programming, optimization, automation, and analytical skills. If you have some or all of the following, please apply: Minimum 5+ years of relevant experience in data engineering and/or analytics engineering Advanced SQL skills with 5+ years of deep experience with Snowflake or similar DB Expertise with data modeling and ETL/ELT (dbt preferred, pipeline development a plus) Seasoned developer (5+ years) within a modern business intelligence tool (Looker preferred) Experience applying software engineering principles (testing, version control, code reviews, CI/CD, etc.) in your working process, to scale analytical development Proven track record of working with data teams in a fast-paced, startup environment Proven track record of successfully working cross-functionally with both technical and non-technical stakeholders Solutions-driven and thrives when given ambiguous, open-ended problems Proven success driving projects through implementation to completion, including stakeholder education and onboarding Obsessed with data protections and privacy (i.e. PII, GDPR, FedRAMP, FIPS, etc.) Hands-on experience using AI tools in your development workflow (e.g., Claude Code, Cursor, AI-assisted dbt and SQL development) AI at BetterUp Our team thrives at the intersection of human expertise and AI capability. As an AI-forward company, adaptation and continuous learning are part of our daily work. We're looking for teammates who are excited to evolve alongside technology – people who experiment boldly, share their discoveries openly, and help define best practices for AI-augmented work. These professionals thoughtfully integrate AI into their work to deliver exceptional results while maintaining the human judgment and creativity that drives real innovation. During our interview process, you'll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact. As a Senior Analytics Engineer, You'll Architect domain-level AI reinvention: identify the highest-leverage AI opportunities in how we build and scale our data products, secure the resources to test them, and install repeatable mechanisms that lock in proven gains across several teams Build scalable AI-powered systems, such as intelligent pipeline monitoring, automated data quality checks, and AI-assisted development, that change how analytical work gets done across multiple teams Establish governance frameworks and best practices for responsible AI usage at scale within the analytics function We encourage all candidates to share examples of how they've used AI tools in their work—whether it's AI-assisted SQL generation, LLM-powered data documentation, automated anomaly detection, or other applications. We view AI fluency as a complement to craft, not a replacement for it. Benefits At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community. Access to BetterUp coaching; one for you and one for a friend or family member A competitive compensation plan with opportunity for advancement Medical, dental, and vision insurance Flexible paid time off Per year: All federal/statutory holidays observed 4 BetterUp Inner Workdays (https://www.betterup.co/inner-work) 5 Volunteer Days to give back Learning and Development stipend Company wide Summer & Winter breaks Year-round charitable contribution of your choice on behalf of BetterUp 401(k) self contribution We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don't hesitate to reach out — we encourage everyone interested in joining us to apply. BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future. The base salary range for this role is as follows: $175,000 – $220,000: New York City and San Francisco $158,000 – $198,000: All other locations We value your privacy. Your personal data will be processed in accordance with our Privacy Policy . If you have any questions about the privacy of your personal data or your rights with regards to your personal data, please reach out to support@betterup.co
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Brief Description YOUR ROLE We're seeking a Senior Analytics Engineer to help shape the future of data-driven decision making at our rapidly growing, insurance technology company. As a key member of our data team, you'll architect and implement analytics solutions that power both strategic insights and operational workflows. You'll work at the intersection of our modern data stack and business operations — building robust data models, designing self-service data applications, and leading the migration from our legacy Redshift and Tableau environment to our modern stack. This role offers a unique opportunity to work with cutting-edge tools (dbt, Snowflake, Sigma, Hex, Claude) while having significant influence on our data strategy and technical architecture. You'll collaborate closely with business teams to transform complex data into actionable insights, self-service analytics, and AI-powered applications. What You'll Do Design, build, and maintain data models using dbt core, ensuring efficient, scalable, and well-documented analytics solutions Lead and execute the migration of data assets from Redshift and Tableau to our modern stack — Snowflake, Sigma, and Hex — ensuring data quality and business continuity throughout Build interactive data applications, dashboards, and reports in Sigma and Hex that enable self-service analytics for business stakeholders Design, build, and govern our centralized semantic layer to standardize business metrics and enable true self-service analytics across Sigma and Hex Develop and maintain Python scripts for analytics automation, predictive models, and operational reporting Implement and maintain data quality testing frameworks to ensure reliable, trustworthy data Integrate AI and LLM capabilities (including Claude) into analytics workflows to automate data enrichment, text analysis, and predictive modeling for insurance use cases Create and manage JIRA epics, stories, and tasks to track development work Collaborate with stakeholders to understand business requirements and translate them into technical solutions Additional duties and responsibilities as assigned. Requirements YOUR LOCATION This is a fully remote role, with the exception of onboarding and optional in-office events. Skills & Experience 5+ years of experience in analytics engineering or a similar technical role Expert-level SQL skills with deep understanding of data warehouse concepts Hands-on experience with dbt for data transformation and modeling — dbt core experience preferred Proficiency building data applications, dashboards, and reports in Sigma and/or Hex Proven experience leading or executing a migration from a legacy data warehouse (Redshift) or BI tool (Tableau) to a modern analytics stack Expert-level experience with Snowflake as a cloud data warehouse (required); familiarity with AWS Redshift a plus for migration context Proven experience building and maintaining a semantic layer / metrics catalog to serve multiple downstream applications Working knowledge of Python for analytics automation, predictive modeling, and reporting Experience with version control systems (Git) and CI/CD practices Practical experience leveraging AI/LLMs within a data stack to solve business problems — including prompt engineering, AI-assisted analytics, or GenAI tools in Hex, Sigma or Snowflake Experience with data lakehouse technologies, including Apache Iceberg and AWS Glue (a plus) Experience in commercial insurance, financial services, or venture-backed technology companies Track record of building data solutions in B2B SaaS or enterprise software companies Experience using JIRA for project management and tracking Excellent communication skills with high attention to detail Bachelor's degree in Computer Science, Engineering, Mathematics, or related field Self-starter who thrives in a fast-paced environment, capable of juggling multiple initiatives and meeting strict deadlines Physical Requirements Must be able to sit/stand/walk for prolonged periods of time (up to 8 hours per day), at a desk working on a computer. Must be able to use standard office equipment for extended periods of time, including but not limited to, a mouse, keyboard, phone and video conferencing. Summary Bold Penguin is the premier digital broker for commercial insurance. Their technology expands top-of-funnel demand and increases yield for enterprise partners. Through digital distribution, wholesale capabilities, and AI-driven insights, they transform the lifecycle of both simple and complex risks, from prospecting to placement. Benefits We offer competitive compensation and progressive benefits that include: Medical, Dental, and Vision Flexible PTO Policy 401(k) with a company match Employee Assistance Program Parental Leave Disability and Life Benefits Stay connected to the Glacier. We have great SLACK channels for work and play. We also like to video conference and hold all-hands "Waddles" regularly. Penguin bling. Like swag themed after a certain Antarctic bird? Just. You. Wait. Bold Penguin believes in inclusion. That's why we're proud to be an equal opportunity employer that considers all qualified applicants regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. To learn more about our results-focused culture and employee-focused perks, read more on our careers page .
Let's face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. We do. We can't cram it all in here, but you'll start noticing it from the first interview. Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you've ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters. This makes for a remarkably focused and fulfilling work experience. Frankly, it's not for everyone. But for people with fire in their belly, it's a game-changing, career-defining, soul-lifting move. Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture. If that sounds exciting—and the job description below feels like a fit—we really should start talking. We are a hybrid company with a focus on in-person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week, or eight days per month. Our US hub locations include: Austin, TX; New York City, NY; San Francisco, CA; and the Washington, DC metro area. Please ensure you can realistically commit to this structure before applying. The Opportunity BetterUp is looking for a Senior Analytics Engineer with experience building data modeling systems within a modern data stack, supported by intelligent data warehousing and adaptable business intelligence systems, to join our team. At BetterUp we believe data is critical to our success and this role on the Analytics Engineering team will be crucial to this strategy of delivering exceptional data products that will drive key business decisions. If you are passionate about helping people reach their potential, thrive in a fast-paced startup environment where you get to build the future, and love data then this is the role for you. What You'll Do Architect, build and maintain efficient and reliable data products (dbt models, pipelines, Looker explores, visualizations, etc.) that enable data driven decision making. Build and maintain ELT pipelines from source systems to data warehouses. Influence strategy and drive execution of our analytical roadmap delivering self-service business intelligence at scale. Provide leadership and mentorship to other engineers fostering collaboration, knowledge sharing and a high bar for quality. Improve end users trust and confidence by driving best practices with regards to data discoverability, observability, lineage and stewardship. Contribute towards a robust data security strategy protecting sensitive information and content. Solve critical business problems through the application of programming, optimization, automation, and analytical skills. If you have some or all of the following, please apply: Minimum 5+ years of relevant experience in data engineering and/or analytics engineering Advanced SQL skills with 5+ years of deep experience with Snowflake or similar DB Expertise with data modeling and ETL/ELT (dbt preferred, pipeline development a plus) Seasoned developer (5+ years) within a modern business intelligence tool (Looker preferred) Experience applying software engineering principles (testing, version control, code reviews, CI/CD, etc.) in your working process, to scale analytical development Proven track record of working with data teams in a fast-paced, startup environment Proven track record of successfully working cross-functionally with both technical and non-technical stakeholders Solutions-driven and thrives when given ambiguous, open-ended problems Proven success driving projects through implementation to completion, including stakeholder education and onboarding Obsessed with data protections and privacy (i.e. PII, GDPR, FedRAMP, FIPS, etc.) Hands-on experience using AI tools in your development workflow (e.g., Claude Code, Cursor, AI-assisted dbt and SQL development) AI at BetterUp Our team thrives at the intersection of human expertise and AI capability. As an AI-forward company, adaptation and continuous learning are part of our daily work. We're looking for teammates who are excited to evolve alongside technology – people who experiment boldly, share their discoveries openly, and help define best practices for AI-augmented work. These professionals thoughtfully integrate AI into their work to deliver exceptional results while maintaining the human judgment and creativity that drives real innovation. During our interview process, you'll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact. As a Senior Analytics Engineer, You'll Architect domain-level AI reinvention: identify the highest-leverage AI opportunities in how we build and scale our data products, secure the resources to test them, and install repeatable mechanisms that lock in proven gains across several teams Build scalable AI-powered systems, such as intelligent pipeline monitoring, automated data quality checks, and AI-assisted development, that change how analytical work gets done across multiple teams Establish governance frameworks and best practices for responsible AI usage at scale within the analytics function We encourage all candidates to share examples of how they've used AI tools in their work—whether it's AI-assisted SQL generation, LLM-powered data documentation, automated anomaly detection, or other applications. We view AI fluency as a complement to craft, not a replacement for it. Benefits At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community. Access to BetterUp coaching; one for you and one for a friend or family member A competitive compensation plan with opportunity for advancement Medical, dental, and vision insurance Flexible paid time off Per year: All federal/statutory holidays observed 4 BetterUp Inner Workdays (https://www.betterup.co/inner-work) 5 Volunteer Days to give back Learning and Development stipend Company wide Summer & Winter breaks Year-round charitable contribution of your choice on behalf of BetterUp 401(k) self contribution We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don't hesitate to reach out — we encourage everyone interested in joining us to apply. BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future. The base salary range for this role is as follows: $175,000 – $220,000: New York City and San Francisco $158,000 – $198,000: All other locations We value your privacy. Your personal data will be processed in accordance with our Privacy Policy . If you have any questions about the privacy of your personal data or your rights with regards to your personal data, please reach out to support@betterup.co
Socomec Group (Socomec) is a global leader in electrical equipment engineering and manufacturing, specialized in low voltage energy performance. Socomec North America (NAM) is Socomec?s organization overseeing all operations in North America. We are seeking a Mechanical Engineer within the Engineering/Product Development Team is focused on electromechanical design and packaging for the company?s product lines (Power Conversion, Energy Storage, Power System Monitoring, etc.), research & development, process and product optimization-improvement among others. This position provides individual contributor within Mechanical Engineering. Responsible to observe and implement technical governance, design standards, engineering methodology, technical reviews, use of technology and engineering procedures. Key Responsibilities And Accountabilities Design of metal cabinetry and mechanical systems integration using SolidWorks 3-D modeling. Electro-mechanical design and packaging of electro-magnetic components incorporating a number of associated power assemblies work as a system using SolidWorks 3-D modelling. Sourcing and parametric modeling of electro-mechanical/magnetic library components. Prepare detailed manufacturing data packages including 2D and MBD drawings, including the complete product configurations with detailed BOM structures in ERP system. Support of factory floor activities in troubleshooting, assembly and retrofit, including Support of general manufacturing activities as may be required or designated. Documentation of all manufacturing package according to the established company procedures, standard of works, practices and product line. Other activities that relate to product development and order fulfilment, including mechanical design to assigned target requirements, DFM and DFA considering cost and throughput. Prepare technical or cost reports to propose or assess decisions or planning of related projects and activities. Essential Qualifications, Experience, And Skills Bachelor's degree in Mechanical / Electro-Mechanical Engineering. 3-5 years of experience in Mechanical Engineering / Manufacturing, both technical and hands-on Demonstrated experience and knowledge in electrical enclosure packaging for electrical power components in indoor and outdoor environments. Ability to learn new skill sets with respect to supporting existing and future Socomec products. Thrives in a fast-paced innovative environment where several interdependent technologies and products are being developed simultaneously. Adaptable to rapid changes in priority planning keeping visible accountability. Demonstrates initiative and a passion for achieving results. Strong analytic problem-solving capabilities. Resourceful, innovative, and energetic. Strong collaboration and teamwork skills. Must be legally authorized to work in Canada without company sponsorship. Proficient in SolidWorks (preferred) CAD systems, with strong emphasis on Sheetmetal, Drawings, PDM and large assembly modules. Preferred knowledge and hands on practical experience in Configure to order products and BOM management, Static Stress FEA and SolidWorks DriveWorks automation tool or similar. Able to prepare professional documentation of manufacturing package, drawings, etc. Strong organizational skills, Capable to execute projects with proper tracking, visibility and ownership, driving them proactively to closure from end to finish. Strong verbal and written communication skills. Additional Requirements This role is located in an office and remote environment (at management?s discretion), with regular visits to the manufacturing, test bay and assembly environment. Must be available for possible business travel to locations in Canada, USA and Europe. Must possess and maintain a valid passport for international travel. Commitment to Health and Safety best practice and regulations. Adherence to company policies. Team Si
Department: Data Location: Remote Description Grasshopper Bank is a client-first , digital bank built for the business and innovation economy, with an obsession for providing leading-edge technology, solutions-driven products and superior service through a combination of passionate people and digital resources. We are a highly experienced team who pride ourselves on diversity of thought and perspective . Nationally chartered, our portfolio of products and services range from VC, PE & Portfolio Companies to SBA Lending, as well as direct SMB and Embedded Banking. Our entrepreneurial drive allows us to support the growth and success of a wide range of clients at every stage of their business through inclusive partnership . We seek out team members who will enable both our organization and our people to grow and thrive through collaboration and acting with integrity and respect. Our focus on cross-functional teamwork provides a culture where ideas are valued, accountability is encouraged , and successes are celebrated . We welcome all those searching for the opportunity to contribute to banking innovation that influences and supports the emerging digital world of Financial Services. Our digital first approach enables our teams the flexibility to work remotely. We have offices in NYC and Boston. What You'll Do As a Customer Analytics Engineer , you will operate at the intersection of modern data engineering, customer behavior analytics, and growth enablement. Reporting to the Director of BI & Analytics, you will serve as the technical engine and strategic architect behind our bank-wide Customer 360 and customer lifecycle analytics initiatives. In this high-impact role, you will move beyond standard descriptive reporting to build the foundational data models, pipelines, and semantic layers that explain who our clients are, how they interact with our digital banking platforms, and what drives long-term customer lifetime value (LTV). You will be responsible for modeling complex customer event streams, digital touchpoints, and transaction histories into analytics-ready models in Google BigQuery, powering executive Tableau reporting and directly activating customer data downstream into marketing and engagement engines (such as Braze). If you love writing clean, performant SQL/Python transformation logic, unraveling complex customer journeys, and partnering with Product and Marketing leaders to unlock top-line revenue, this role is for you. Customer 360 & C-MDM Modeling: Design, build, and optimize scalable dimensional models (Kimball methodology) and One Big Table (OBT) datasets in Google BigQuery that unify core banking records, digital session logs, and touchpoints into a trusted, bank-wide customer master (C-MDM) and single source of truth. Identity Resolution, Governance & Attribution: Establish robust customer identity mapping and multi-touch marketing attribution models across diverse platforms, while championing master data management (C-MDM) principles, data quality, and governance across all customer data pipelines. Semantic Layer & Master Data Development: Formalize bank-wide customer entities, core segmentations, and Critical Data Elements (CDEs)—such as Active User definitions (DAU/MAU), primary operating account status, feature adoption, and dormancy thresholds—to align business and technical definitions under a unified C-MDM framework. Scalable ELT Pipelines: Design, deploy, and maintain resilient ELT/ETL pipelines (using SQL, Python, and orchestration tools) to ingest, clean, and enrich raw customer interaction data, API payloads, and core snapshot tables. Downstream Marketing & Activation Sync: Engineer reliable pipelines and reverse-ETL workflows that sync enriched customer traits, behavioral events, and engagement tiers directly into marketing automation platforms (e.g., Braze) and CRM systems to power automated lifecycle campaigns. Data Quality & Observability: Implement automated testing, anomaly detection, and schema validation across customer data pipelines to guarantee platform accuracy, uptime, and alerting. Customer Journey & Cohort Dashboards: Design and maintain intuitive, executive-ready Tableau dashboards focusing on customer acquisition funnels, retention curves, product penetration, churn indicators, and deposit velocity. Storytelling with Data: Translate complex, multi-layered data into clear, actionable narratives that answer the "so what?" for business line leaders and product managers. Performance Optimization: Continuously monitor and tune BigQuery queries and Tableau extracts to ensure rapid workbook performance and cost-efficient query processing. Strategic Growth Partner: Collaborate closely with Marketing, Product, and Business Line leaders to translate business hypotheses into quantitative frameworks and tracking requirements. Data Stewardship & Literacy: Champion data governance best practices, document customer data lineages and KPI definitions in the Data Steward Playbook, and coach end-users on self-service data discovery. What You Need Experience: 2–4+ years of hands-on experience in a hybrid data role such as Analytics Engineer, Customer Data Engineer, BI Developer, or Marketing Data Engineer. Prior experience in fintech, commercial banking, or digital banking platforms is preferred. Advanced SQL & BigQuery: Expert-level SQL skills, including advanced analytical window functions, complex CTEs, array/struct unnesting, and performance tuning within cloud data warehouses (Google BigQuery strongly preferred). Dimensional & Event Data Modeling: Strong experience with dimensional modeling, star schemas, and structuring behavioral/event-based data models (hands-on experience with dbt for modeling transformations and lineage is a strong plus). Python & Pipeline Engineering: Demonstrated experience using Python for data transformation, API integrations, and workflow automation. Experience scheduling and orchestrating DAGs using tools like Apache Airflow or Google Cloud Composer is preferred. Tableau Expertise: Deep proficiency in Tableau Desktop and Tableau Server/Cloud, including Level of Detail (LOD) expressions, parameters, and thoughtful dashboard UX/UI design principles. Customer Analytics Acumen: Strong conceptual understanding of customer lifecycle metrics: Customer Acquisition Cost (CAC), Lifetime Value (LTV), cohort retention, and churn. Familiarity with reverse-ETL workflows or customer data activation is a plus. Communication & Collaboration: Proven track record of presenting complex data insights to non-technical stakeholders and driving cross-functional alignment. Education: Bachelor's degree in Computer Science, Information Systems, Data Analytics, Mathematics, Engineering, or equivalent practical experience.
Who we are Splashtop helps organizations power and secure distributed work. For 20 years, we've delivered remote access, remote support, autonomous endpoint management, and endpoint security solutions trusted by IT teams and managed service providers (MSPs) worldwide. We're continuing to innovate with AI-powered tools that help IT teams work smarter and keep endpoints secure. More than 250,000 businesses rely on Splashtop, with over 25 million computers running on our platform. Recognized by leading industry analysts and highly rated by customers, we're committed to delivering secure, reliable solutions backed by ISO/IEC 27001 certification and SOC 2 compliance. Founded in 2006, Splashtop achieved unicorn status in 2021 with a valuation exceeding $1 billion. We're headquartered in Cupertino, California, with offices across Europe and Asia and approximately 350 Splashtoppers worldwide. We're proud of our founder-led, collaborative culture where Splashtoppers are valued, ideas are welcomed, and everyone can make a real impact. We work hard, support one another, and celebrate our successes together. As we continue to grow, we're looking for people who want to grow with us. What will you do in this role? We're looking for an experienced Analytics Engineer to join our data team and help scale the infrastructure that powers decision-making across the business. You'll sit at the intersection of data engineering and analytics, building reliable, well-tested data models that product, GTM, and finance teams depend on every day. This role is ideal for someone who has spent 3-5 years working in fast-moving SaaS environments and understands the unique data challenges that come with subscription businesses: usage metrics, churn and retention, ARR reporting, and product analytics at scale. The key responsibilities of this role will require you to do: Design, build, and maintain scalable data models and transformation pipelines using dbt and Snowflake to support reporting, analytics, and data science use cases. Partner with data engineers, analysts, and business stakeholders to translate raw event and operational data into trusted, well-documented datasets. Own the full lifecycle of data models: development, testing, documentation, deployment, and monitoring. Establish and enforce data modeling best practices, including naming conventions, testing standards, and style guides across the dbt project. Build and maintain core SaaS metrics (ARR, churn, expansion/contraction, cohort retention, product usage) as reusable, auditable data models. Improve data quality and observability through automated testing, alerting, and documentation. Optimize Snowflake performance and cost through efficient warehouse usage, query design, and data modeling patterns. Collaborate with BI teams and self-serve analytics users to ensure models are intuitive, performant, and aligned with business logic. Participate in architectural decisions around the modern data stack (ingestion, orchestration, transformation, and BI layers). Build and maintain a semantic layer to centralize all business metrics. To be a good fit for this role, you have: 3-5 years of experience in analytics engineering, data engineering, or a similar data-focused role, with significant time spent in a SaaS or subscription-based business. Hands-on, production experience with dbt for data transformation and modeling — this is a must-have, not a nice-to-have. Strong SQL skills, with the ability to write complex, efficient, and maintainable queries. Solid understanding of dimensional modeling, ELT/ETL design patterns, and data warehousing concepts. Experience working with SaaS metrics and business models (ARR, churn, retention, cohort analysis, usage-based billing, etc.). Familiarity with version control (Git) and CI/CD practices as applied to data pipelines. Excellent communication skills and the ability to work cross-functionally with both technical and non-technical stakeholders. Extremely detail-oriented, able to look at each row of a model to ensure data quality and accuracy. Nice to Have: Experience with BI tools such as Looker, Tableau, Mode, or Sigma. Familiarity with event tracking and CDP tools. Experience with Python for data processing, automation, or testing. Background in a high-growth or scaling SaaS company. Experience with data orchestration, data governance, cataloging, or lineage tools. Ability to think architecturally to produce efficient models and pipelines. Experience with dbt CLI and setting up MCP servers. Familiarity with advanced Git features and usage (GitHub actions, etc.) What we Offer: A dynamic and supportive work environment. A competitive salary and performance-based incentives. Salary range $110K - $120K. Incredible and continuous learning experience for professional growth and development. Fast-paced environment where we celebrate successes and have a lot of fun while working. An amazing crew of other hard working and passionate people from all over the globe. Splashtop is a proud equal opportunity employer, dedicated to creating an inclusive workplace that celebrates diversity. We value the unique skills and experiences brought by individuals from all backgrounds and identities, including but not limited to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, socioeconomic background, or individuals reentering the workforce. We especially encourage applications from underrepresented groups such as women, racial and ethnic minorities, LGBTQ+ individuals, people with disabilities, and veterans. At Splashtop, we believe diversity drives innovation, and we are committed to fostering an environment where everyone feels welcomed, respected, and valued .
An exciting career awaits you At MPC, we're committed to being a great place to work – one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment. Position Summary Do you have a quantitative background? Do you like to solve business problems through data? Marathon Petroleum Company LP (MPC) has an opening in our Commercial organization for a data expert. The Central Commercial Management Data & Insights team's mission is to provide exceptional, cutting-edge analytics and meaningful insights to empower our Commercial organization to thrive and achieve unparalleled success. We do that by enhancing the trust and confidence in the data and analytics within Commercial, reducing barriers to timely, actionable insights. This role will work closely with Quantitative Analytics teams; the ideal candidate will have a passion to gain experience in that area. This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate's experience and qualifications. Key Responsibilities Collaborates with business partners to deliver sustainable solutions for analytics and process improvements Understands business processes and related data sources, models data for reuse across analyst groups Supports analytics data solutions; works with system support teams to correct and/or enhance data Acquires, cleans, and preprocesses raw data from various sources to ensure accuracy and reliability; maintain knowledge of key systems and query those systems for data Conducts in-depth analysis of large datasets to extract meaningful insights and trends Develops and implements analytical models to forecast future trends and outcomes Performs statistical analysis to identify patterns and correlations in the data Creates visually compelling and easy-to-understand dashboards and reports Communicates findings to stakeholders through charts, graphs, and presentations Ensures integrity and quality of data through regular audits and validation processes Works closely with cross-functional teams to understand data requirements and deliver insights Drives continuous improvement in business processes and data analytics best practices Establishes and supports data governance to ensure data is fit for optimum use by the organization Partners and leads initiatives to build sustainable data pipelines, automations, and advanced analytics solutions Education And Experience Bachelor's Degree required, with a preference in Business, Engineering, Computer Science, Information Systems, Mathematics or related. Senior Data Analyst – Grade 11 Four (4) years experience required. Lead Data Analyst – Grade 12 Six (6) years experience required. Preferred: Strong communication and time management skills. Strong passion for answering difficult questions with data. Experience solving analytical problems using quantitative approaches to generate positive business results. Experience with data analysis efforts: identifying data sources, querying data, performing exploratory data analysis/modeling, presenting historical insights/business justification, and affecting data-driven business changes. Experience with data transformation tools such as SQL, ADF, Synapse, Power Query, M, Databricks or others. Exposure to business intelligence self-service analytics software tools such as Power BI or Tableau. Exposure to quantitative, statistical, econometric, or machine learning models used to predict outcomes and evaluate alternatives. Experience with manipulating and analyzing complex, high-volume, high-dimensional data from varying sources and communicating complex quantitative analysis in a clear, precise, and actionable manner. Proven ability to think critically and solve problems, given incomplete information and/or ambiguous requirements. A flexible analytic approach that provides results at varying levels of precision. Skills Business Partnerships: Acting as a trusted advisor and building strong relationships with colleagues and the business to drive business performance. Communication: Speaking and writing effectively; demonstrating fundamental command of language; communicating well using all mediums. Critical Thinking: Identifying and understanding issues, problems and opportunities; using data analysis to draw conclusions; using judgment in choosing a course of action; intellectually curious. Data Analysis: Identifying, evaluating, interpreting and organizing data so that it can be used for business decisions; sorting through data to identify patterns and establish relationships. Data Operations: Managing, manipulating, and analyzing data throughout its lifecycle; deriving meaningful insights and supporting decision-making through the collection, storage, retrieval, transformation, and visualization of data. Data Reporting: Accessing information from databases, forms, and other sources, and preparing reports according to requirements. Adaptability: Maintaining effectiveness when experiencing major changes in work responsibilities or environment; adjusting effectively to change by exploring the benefits, trying new approaches, and collaborating with others to make the change successful. Digital Transformation: Adopting digital technology to transform services or businesses through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technology. Influencing Others: The ability to garner support for initiatives by gaining the respect of others and inspiring trust and confidence. Metrics Management: The process of monitoring performance indicators that demonstrate how effectively a unit/ business/ function/ company is achieving key objectives. Work Management: Take ownership of actions and behaviors. Effectively managing one's time and resources to ensure that work is completed efficiently. Time management is the process of planning and exercising conscious control of time spent on specific activities, especially to increase effectiveness, efficiency, and productivity. It involves a juggling act of various demands upon a person relating to work, social life, family, hobbies, personal interests, and commitments with the finiteness of time. Using time effectively gives the person "choice" on spending or managing activities at their own time and expediency. As an energy industry leader, our career opportunities fuel personal and professional growth. Location: Findlay, Ohio Additional locations: Job Requisition ID: 00025012 Location Address: 539 S Main St Education: Employee Group: Full time Employee Subgroup: Regular Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship or any other status protected by applicable federal, state, or local laws. If you would like more information about your EEO rights as an applicant, click here. If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at talentacquisition@marathonpetroleum.com. Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at https://mympcbenefits.com.The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program. Equal Opportunity Employer: Veteran / Disability We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.
Hiring Department Mizzou Online This recruitment is managed by the Office of Human Resources at the Columbia Campus. For application questions please contact OHR at 573-882-7976. Job Description The Solutions and Analytics Team within Mizzou Online delivers scalable, high-performing analytic dashboards, reports, and insights to stakeholders at MU. We are seeking an analyst to help discover actionable data from a variety of higher education sources. The ideal candidate will enjoy transforming data into easy-to-use reports and dashboards, and have a service-oriented mindset with a strong desire to help stakeholders uncover insights from learning-related datasets. Job Responsibilities Analyzes and validates data Analyzes and interprets data sets specific to higher education to uncover insights, patterns, trends, and associated success metrics. Ensures accuracy and validity of queries and the data being produced. Organizes and models data Organizes primary data and adds supporting data for use in data visualization, dashboard creation, reporting, and ad hoc requests. Organize and model data using SQL. Collaborates with stakeholders Coordinates and collaborates with stakeholders and other subject matter experts to develop and provide basic actionable information in support of improvement initiatives. Promotes the use of data to answer questions in support of unit goals. Builds reports and presentations Using the collected data and information gathered from meeting with stakeholders, creates routine reports, dashboards, and presentations that are easy to read and interpret. Uses data visualization tools to present results and information. Documentation and continuous improvement Maintains documentation for data management, analysis and reporting activities. Performs Other Job-related Duties As Assigned. Knowledge, Skills & Abilities Strong collaboration and time management skills Ability to communicate data concepts to stakeholders and audiences with varied levels of expertise Proven analytical and problem-solving skills with attention to detail and a passion for data accuracy Possesses an in-depth conceptual and practical knowledge in the data analysis function and begins to acquire knowledge in other related functions Shift 8AM-5PM CST Monday - Friday Minimum Qualifications Bachelor's degree or an equivalent combination of education and relevant experience and at least 2 years of experience from which comparable knowledge and skills can be acquired is necessary Preferred Qualifications Candidates will also be evaluated on the following preferred qualifications: Two or more years of experience with structured query language (SQL) in cleaning and transforming and modeling data. Advanced professional experience analyzing, validating, and modeling data for reporting purposes. Advanced professional experience in data analysis and reporting including the use of data visualization tools. Experience working in Higher Education and/or working with Higher Education datasets. Knowledge of data controls and applicable regulatory/legal requirements protecting confidential and/or sensitive data. Anticipated Hiring Range Salary Range: $70,000 - $77,000 annually Grade: GGS-11 University Title: Data Analyst I Internal applicants can determine their University title by accessing the Talent Profile tile in myHR. Application Materials Resume and Cover Letter - In your cover letter, please address the questions below, be specific, using examples from your own experience. What tools to you use to create a data model for a dataset, and what steps do you take to validate your data model? What kinds of higher education datasets are you looking foward to working with in this position and why? Sponsorship Information Employment visa sponsorship is not available for this position. Benefit Eligibility This position is eligible for University benefits. As part of your total compensation, the University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, paid time off, short- and long-term disability, paid parental leave, paid caregiver leave, and educational fee discounts for all four UM System campuses. For additional information on University benefits, please visit the Faculty & Staff Benefits website at https://www.umsystem.edu/departments-staff/human-resources/benefits-retirement Equal Employment Opportunity The University of Missouri is an Equal Opportunity Employer. To request ADA accommodations, please call the Director of Accessibility and ADA at 573-884-7278.