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About FINNY FINNY is a growth platform for financial advisors. We are on a mission to make great financial advice easier to find. Today, access to quality financial guidance is limited, not because advisors don't exist, but because the right connections are hard to make when it matters. We're fixing that with AI-powered tools that help advisors find, engage, and retain the clients they can genuinely help. We've raised a $4.5M Seed from Y-Combinator in S24 and now $17M Series A led by Venrock. We work with over 1,000 firms across the wealth management ecosystem, and have been recognized as the leader in fintech innovation—winning #1 at the Morningstar Fintech Showcase, #1 at 2026 Wealthies, and being featured across the industry. We're based in Chelsea, NYC, building fast and ambitious systems at the intersection of data, AI, and real-world wealth services. About The Team You'll join FINNY Engineering and report to our VP of Engineering. The team today is product and backend engineers and a data team. You'll be our first analytics engineer, building the foundation of the company's analytics warehouse on dbt Core and Snowflake. About The Role FINNY is a metrics-driven company. Until now, our analytics warehouse has been a shared role, divided across several teams. We're bringing it together in a new structure, on a new foundation, and we're hiring a senior Analytics Engineer to own it end to end: the models, the definitions of the metrics the company runs on, and the reports people trust. You'll work directly with operations, sales, marketing, growth strategy, finance, product and engineering. Success looks like: the metrics the company runs on have tested definitions, a small set of reports is the first place people look, AI tools answer questions about those metrics correctly, and every key business area is covered to the same standard. As the data team grows, you'll help hire and lead it. What You'll Do Own the analytics warehouse day to day: staging and core models, dimensions, facts and identity resolution across our systems Define the metrics FINNY runs on, with tests and documentation, so every team works from the same numbers Partner with internal stakeholders across the company to turn their questions into models and reports they use Own the BI layer: choose the tool and semantic layer, and keep a small set of authoritative reports Make the warehouse something AI tools can answer from correctly Run the dbt project like software: version control, code review, CI, tests and documentation What We're Looking For Typically 4+ years in analytics engineering, data engineering or analytics, including owning models that other teams relied on Strong SQL and dimensional modeling: facts, dimensions, conformed keys, and a clear grain for every table dbt (or an equivalent tool) in production, with git, tests and CI You've defined business metrics people used to make decisions, and fixed the cause when two numbers disagreed You work directly with non-technical partners and turn vague questions into clear answers—and say "not yet" with a reason Scrappy, with ownership: you jump in where help is needed, including work outside your job description You're excited to work in person, 5 days a week, in our Chelsea, NYC office Nice To Have First or early data hire at a startup Modeled complex pricing, billing, subscription or usage data Made data usable by AI agents: documentation, a semantic layer, guardrails Event analytics (PostHog or similar) and CRM data Compensation & Benefits FINNY offers a competitive compensation package including: Competitive salary and equity Medical, dental, and vision insurance Flexible paid time off 401(k) Food and meals provided in our NYC office Team offsites and events Equal Opportunity Employer FINNY is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation Range: $180K - $210K

About The Company Valon is the leading AI platform for mortgage servicing, building the AI-native operating system for regulated finance. Before providing the system of record that powers the entire industry, we built and ran our own mortgage servicer on it. That gave us a real regulated environment to prove our technology could replace the mainframe systems servicers have used for decades. Carrington acquired that servicer and adopted ValonOS as its core platform, allowing us to focus entirely on scaling our SaaS platform. ValonOS is now on track to power 1 in 6 U.S. mortgages across major mortgage servicers like Newrez, Carrington, and ServiceMac. Every process on the platform is structured and programmable, enabling our AI agents to perform core servicing work, like handling payments, escrow, and homeowner questions, directly within the system's controls. We recently raised a $150 million Series D at a $2.3 billion valuation by new investor Ribbit Capital, with continued support from existing backer a16z, amongst others. About The Role We are seeking a Senior Analytics Engineer to take ownership of our client reporting data models and pipelines. This crucial role involves managing the layer of our data models responsible for transforming raw data into reliable, structured, and performant assets for reporting, analysis, and AI initiatives. This role sits at the intersection of analytics and data engineering, ensuring data is production-grade, auditable, and easily accessible across the organization and our customers. You will own client reporting, standardize our data modeling practices, manage the orchestration of analytical workflows, and provide hands-on analytical support for high-stakes operational business functions, including reporting and performance management. Responsibilities Client Reporting & Infrastructure: Scope and develop new client reports, while also maintaining and enhancing existing reporting pipelines. Collaborate with external clients and our internal client success team to effectively manage and triage inbound requests. Partner with Valon Technologies' data team to improve the underlying infrastructure for client reporting. Data Modeling & Transformation: Design, build, and maintain the production-grade data models and analytical layers using our existing stack of BigQuery, dbt, and Airflow to ensure reliability and structure at scale. Data Governance & Quality: Partner with engineering and product teams to define and implement data contracts and observability frameworks to guarantee data quality and auditability for a regulated environment. Analytical Support: Write complex SQL queries, build dashboards (in tools like Hex or Looker), and conduct ad hoc analysis to empower operational leaders and provide deep root-cause insights into business performance. Ideal Background & Qualifications Experience: 7+ years of combined experience in data engineering, analytics engineering, or a highly technical data analytics role, ideally at a technology company or financial institution (Series B–E startup experience is a plus). Technical Stack: Expertise in SQL (required), strong proficiency in Python, and proven experience with core modern data stack tools like dbt and Airflow. Communication: Communicate effectively with external clients, clearly synthesizing their requests, establishing realistic timelines, and proactively managing expectations, including pushing back when necessary to ensure successful outcomes. Architecture & Quality: Deep understanding of data architecture patterns (e.g. medallion architecture) and experience implementing data quality frameworks, observability tools, or data contracts at scale. Analytical Tools: Experience with data visualization tools (Hex, Looker, or equivalent) and proficiency in Google Sheets/Microsoft Excel. Mindset: A strong product mindset, focusing on the usability, reliability, and developer experience of the data systems you build. Problem-Solving: Proven ability to solve complex problems independently and build repeatable processes around novel situations. Minimum Qualifications Bachelor's Degree or equivalent professional experience in Computer Science, Data Analytics, or a similar field.t professional experience in Computer Science, Data Analytics, or a similar field. Benefits Compensation: competitive salary and 401(k) plan Health & well-being: we'll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits Grow together: Company-wide orientation for you to successfully onboard and other learning & development opportunities, including regular review cycles that feature 360-degree feedback Generous time off: 17 days paid time off, sick days, and 11 company holidays Baby bonding time!: 12 weeks off for both birthing and non-birthing parents - fully paid so you can focus your energy on your newest addition Throughout the interview process, please remember that emails will only be from valon.com email addresses. We will never ask for any personally identifiable information during the interview process itself. Please reach out to talent@valon.com if you have any requests to verify the authenticity of an outreach. Valon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Valon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Compensation Range: $135K - $180K

Description Team : EntreLeadership Location : Franklin, TN—on-site, relocation assistance available, flexible schedules available Salary : $77,000–$113,000/year* + profit sharing + benefits Range depends on skill level and overall experience. A Little Bit About Us :You might know us from our founder and CEO, Dave Ramsey, who's given no-nonsense money advice on the radio since 1992. Three decades later, Ramsey Solutions is a household name in personal finance, with a mission to change the toxic money culture for good. Our Mission: Ramsey Solutions provides biblically based, commonsense education and empowerment that give HOPE to everyone in every walk of life. Here's a Taste Of Our Benefits Health insurance (includes plans eligible for an HSA—with a company match up to $500!) 401(k) retirement plan with 4% match/company contribution Annual wellness, counseling and grocery membership reimbursement On-campus cafe with subsidized pricing for breakfast, lunch and coffee bar Dependent care FSA Tons of cultural activities, like weekly devotional, leadership development courses, Battle of the Bands, and one epic Christmas party! Where And How You'd Work Ramsey Solutions Headquarters is located just outside of Nashville in Franklin, Tennessee. We value our strong, unified company culture because we believe the best work is done together. That's why all of our team members work on-site under the same roof. But work-life balance is also important to us, so we offer flexible work schedules to take the stress out of appointments, family obligations and other needs that may pop up. While every team member has a designated workspace (with an electronic sit-stand desk), our campus was designed to house a variety of unique work and play zones (e.g., quiet library space, coffee bar/lounge areas, recreational game zone, and outside/patio work and break areas). What You'd Do In This Role The Analytics Engineer produces consumable data products, including analytical data models and curated tables, metrics, and visualizations that enable others to explore trends, ask questions, and apply data in decision-making. The Analytics Engineer focuses on enabling reasoning by others through well-designed warehouse models and clear visual representations of data. You're Probably a Match If You have 2+ years of experience as an analytics engineer, data analyst, or another similar role. You have the ability to clearly communicate with both technical and non-technical stakeholders You are proficient in SQL and scripting languages (for example: Python and R) You have experience with several of the following: Data pipelining and ETL/ELT processes Data modeling and dimensional modeling Data visualization (e.g. Streamlit, Plotly, Shiny) What Winning Looks Like Build and maintain data warehouses and data marts, ensuring high standards of data quality, accuracy, and consistency across the platform. Design, develop, and optimize scalable data pipelines and ETL processes using modern tools (e.g., SQL, Python, Apache Airflow, dbt, Snowflake, AWS Redshift), including monitoring for performance and data integrity. Establish and enforce robust data quality checks and monitoring systems to proactively identify and resolve data issues. Develop and maintain source-of-truth reports and dashboards for key business metrics, ensuring consistency across all reporting channels. Build deep expertise in key datasets and data models to support reliable, well-informed analytics. Partner with customers and stakeholders to understand business needs and translate them into actionable data products. Serve as a trusted advisor to analytics customers and stakeholders on data-related strategy and best practices. If Ramsey Solutions sounds like a workplace where you can get excited about Mondays, apply today. We can't wait to hear from you! EOE, including disability/vets We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Thirty Madison is now part of Remedy! You can read more about the acquisition here. We are excited to join forces and continue to revolutionize healthcare accessibility! About the role We're hiring a Senior Analytics Engineer within our centralized data team to own a core area of our data, such as financial performance, operations, or growth and retention, from raw sources through to the metrics leadership uses to make decisions. You'll build the dbt models and semantic layer behind those metrics. You'll also act as the analytical partner to the teams that rely on them. This is a high-ownership role on a lean team that moves fast. Requirements often start ambiguous, and you'll be expected to find the highest-value problems before they reach anyone's roadmap. Our stack: Snowflake, dbt, Fivetran and Hex Comp | Perks | Benefits The base pay range for this role is $160,000-$180,000 Potential to earn equity Robust and affordable Medical, Dental, and Vision plan options Flexible time off policy Base pay offered may vary depending on job-related knowledge, skills, and experience. What you get to do every day Own a functional data area. Be the lead analyst for a domain like finance or growth and retention, the first person stakeholders turn to for answers and insight. You'll own its models, metrics, analysis and roadmap. Architect core data models. Design and maintain silver and gold layer models in dbt using Kimball dimensional modeling (facts and dimensions). These power segmentation, targeting, automation and analytics for your area. Define and operationalize metrics. Turn company-wide metrics into governed, consistent definitions. Examples include retention, funnel conversion, LTV/CAC/ROAS and revenue. Steward the semantic layer. Treat our BI tooling (Hex) as a product. Own semantic layer health, cross-team modeling standards and self-serve data products, beyond building dashboards on request. Make the numbers trustworthy. Set standards for testing, documentation and freshness. Lead root-cause analysis on data discrepancies, then fix the underlying architecture so they don't recur. Partner with the business. Turn ambiguous questions from Marketing, Growth, Finance and Product into clear requirements and scalable solutions. Work without dedicated PM support and use data to influence decisions. Communicate clearly. Explain technical decisions, trade-offs and results to audiences from engineers to senior leadership. Set and manage expectations along the way. Improve upstream data. Work with product and engineering on event taxonomy, instrumentation quality and consistency across app, web and backend. What you bring to the role 5+ years in analytics, analytics engineering, data engineering or a closely related role. Deep SQL in a cloud data warehouse, ideally Snowflake. You use it to validate data quality, investigate anomalies and back your own analysis. Production experience with dbt: modeling, testing, documentation and project structure. Strong data modeling skills, including Kimball dimensional modeling (star schemas, slowly changing dimensions) and layered medallion architectures. You know when to break the rules. Business and analytical judgment. You can tell which question matters and how to answer it, not just how to model it. A track record of leading cross-team data initiatives, including gathering requirements yourself from technical and non-technical stakeholders. Clear, confident communication with senior leadership, including pushing back and resetting expectations when needed. Comfort with ambiguity and a fast pace. You prioritize well and ship without waiting for perfect specs. Hustle and a bias for action. You roll up your sleeves, do what the moment needs, whether that's a quick ad-hoc pull or a weekend fire drill on a broken pipeline, and follow through until it's done. Bonus Points Experience supporting Marketing, Growth, Sales or Product teams, such as attribution, paid media, funnels or retention. Experience owning a BI platform or semantic layer (Hex, Looker, dbt Semantic Layer or similar) as a product. Experience building semantic layers and documentation designed for AI and agentic workflows. Familiarity with product analytics instrumentation and event tracking. Background in consumer health, subscription or e-commerce businesses. U.S. Applicants Only Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Remedy we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions. Contact us at recruiting@thirtymadison.com to request accommodation. This employer participates in E-Verify and will provide the federal government with your I-9 Form information to confirm that you are authorized to work in the U.S. Please be aware that there are fraudulent entities who are falsely claiming to be or represent Remedy in order to solicit sensitive personal information or payment. Remedy is not in any way associated with these entities or practices. The safety and integrity of those seeking employment with us is of the utmost importance and we actively work with our legal and security teams to prevent future incidents. Remedy will never ask for sensitive information or payment when engaging with job seekers. The entities use many methods to perpetuate these scams, including but not limited to: participating in a text-only interview, using Remedy's trademarks on their correspondence, or providing you with a seemingly legitimate offer letter. If you suspect you are a victim of this scamming, we encourage you to cease further contact and report the crime to The Federal Trade Commission.

Who We Are Good Inside is redefining parenting - not as something that should "just come naturally," but as a skill to learn and practice. Founded by Dr. Becky Kennedy and Dr. Erica Belsky, we combine sturdy leadership with innovative technology to give parents personalized guidance, AI-powered support, and a global community. Our mission: help parents raise resilient, confident kids in a changing world. We've already reached millions, and we're just getting started. We're refining our product and expanding our reach to empower even more families. We're looking for bold, high-ownership problem-solvers who want to build something new, tackle big challenges, and be at the forefront of change. The Opportunity Good Inside is seeking a Senior Analytics Engineer to own the data foundation behind our product. You'll build the models, tracking, and pipelines that tell us how parents discover, adopt, and keep coming back to Good Inside, and you'll use them to answer Product's most important questions yourself. This is a full stack role, weighted toward analytics engineering. You'll design production-grade dbt models for product events and subscription data, own our Amplitude instrumentation and tracking plans, and keep data fresh, tested, and trusted. Because you'll sit close to Product, you'll also turn that foundation into analysis, experiment readouts, and recommendations, using statistical methods when a question needs more than a dashboard. You'll be the bridge between Product, Engineering, and the Data team, so tracking and metrics are built in from the start rather than patched in after launch. This role is ideal for someone who thinks like a software engineer, has embedded with product teams at a subscription business, leverages AI-assisted workflows to move faster, and takes pride in clean systems that change what gets built. This is a hybrid role based in Manhattan with three days onsite. What You'll Own Build the Product Data Foundation Design and maintain clean, modular dbt models for product events, engagement, and the member journey, from onboarding and activation through retention. Create well-documented transformations so Product trusts the numbers. Build Tracking and Instrumentation Maintain our Amplitude event taxonomy and tracking plans. Partner with PMs and engineers so new features ship with the right events, and keep definitions consistent across app and web. Model Subscription Data Model the subscription lifecycle (trials, conversions, upgrades, churn, reactivations) and connect it to product behavior, aligned with Engineering and Finance. Protect Data Quality Set up testing, monitoring, and alerting. Catch inconsistencies early, improve freshness, and make sure teams aren't waiting on or questioning the data. Turn Data into Product Decisions Answer Product's highest-impact questions directly: funnel and cohort analysis, experiment readouts, and churn or propensity models when a question calls for it. Lead with a clear recommendation. Enable Self-Serve Build the semantic layer and dashboards in Omni and Amplitude so Product can answer routine questions without waiting on Data. Partner and Influence Work closely with Product, Engineering, and the Data Analytics team, weigh in on architecture decisions with downstream data impact, and mentor others on the team. Balance competing priorities without lowering the bar. Your Skills & Experience 8+ years in analytics engineering, data engineering, or product analytics roles, with at least 2 supporting a product team Deep hands-on dbt experience in production Expert SQL and strong Python for modeling, pipelines, and analysis Experience with a modern data warehouse (Snowflake) and orchestration and ingestion tools (Airflow, Fivetran, or similar) Deep experience with event-driven product data and Amplitude (or Mixpanel, Heap), including owning event taxonomy and tracking plans Strong understanding of subscription businesses: trial conversion, retention cohorts, LTV, churn, and Stripe or app store billing data A track record of analysis that changed what got built, plus solid grounding in experimentation and statistics Experience designing clean, modular, well-tested data models for analytics use Proficient with Git and collaborative engineering workflows Make sound architectural decisions without heavy oversight, balancing speed with long-term maintainability Embrace AI-assisted development tools to increase velocity while keeping a high bar for accuracy Clear communicator who leads with a recommendation and thrives in fast-moving environments Bonus Points Direct-to-consumer subscription experience, especially with app store and web purchase flows and the gaps between them Data science experience: churn or propensity modeling, survival analysis, or causal inference Pricing, packaging, or paywall experimentation Mobile app analytics and attribution Familiarity with Segment, Braze, and BI semantic layers (Omni a plus) Experience mentoring analysts or teaching stakeholders to self-serve What We Offer Compensation: Annual salary for this role will be $185k – $195k Company Equity Comprehensive benefits package 401k + Company match Time off to recharge Hybrid work environment A high-ownership, high-performance, high-collaboration culture Equal Employment Opportunity Good Inside is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws. We are dedicated to growing a diverse team of highly talented people. As much as we believe in focusing on the parent behind the parenting and the child behind the behavior, we believe in focusing on the person behind the job. We're dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive—believing in and bringing out the good inside of everyone.. If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs. For information about Good Inside's privacy practices, see our Privacy Policy. California applicants, please also see our CA Applicant Privacy Notice.

Job Summary The Data Analyst collects, validates, analyzes, and reports healthcare data to support Population Health and Care Management. The role identifies trends and develops projections to improve care-gap closure, HEDIS and UDS performance, patient engagement, quality improvement, and operational decisions while protecting sensitive patient information. Responsibilities included but not limited to: Analyze and validate quantitative healthcare data; develop trends, evaluations, and projections for care gaps and UDS measures. Monitor HEDIS performance monthly and maintain CCHC dashboards and scorecards in Excel, PowerPoint, and Power BI. Extract and prepare data from Epic (Cogito/Clarity/Reporting Workbench), Excel, and SharePoint for population health reporting and research. Apply appropriate queries, analytical methods, and statistical tools to support timely, accurate reporting and operational decisions. Identify barriers and opportunities to improve care-gap closure, patient engagement, and re-engagement of patients lost to care. Present findings through clear data visualizations; provide analytical support to the Population Health team. Coordinate data collection and analysis projects and collaborate with the Program Development Data Analytics Manager to define research datasets, populations, fields, and source systems. Perform data-quality checks, validate source data, and resolve reporting discrepancies. Maintain confidentiality and comply with applicable HIPAA, IRB, and OMB requirements, access controls, and secure PHI handling procedures. Other duties as assigned Minimum Qualifications: Required Qualifications Bachelor's degree or equivalent relevant experience; minimum three years of healthcare-related experience. Proficiency in Excel for data analysis, validation, reporting, and scorecards. Ability to analyze healthcare metrics, explain findings to clinical and administrative teams, and manage reporting deadlines. Knowledge of HIPAA, PHI confidentiality, and secure data handling. Preferred Qualifications Experience with Epic reporting, HEDIS, UDS, and care-gap measures. Power BI, Tableau, SharePoint, and research/evaluation or informatics experience. SQL, statistical software, or statistical programming; may be learned on the job as needed. Employee Benefits offered to Fulltime Staff: Blue Cross Blue Shield Medical Insurance Blue Cross Blue Shield Dental and Vision Insurance Supplemental Benefits Life Insurance (Provided by the company)

Description Summary The Data Analyst 3 will support the Commercial Real Estate Portfolio Management team with a focus on data analytics, reporting, and data quality. This position will use Power BI and SQL to collect, combine, validate, and analyze data from multiple sources and transform it into accurate, usable reporting. The role supports portfolio monitoring, regulatory and management reporting, and Commercial Real Estate portfolio reviews. Strong technical, analytical, and problem-solving skills are essential; banking or Commercial Real Estate experience is preferred but not required. Duties & Responsibilities Collects, combines, validates, and analyzes data from multiple systems to support Commercial Real Estate portfolio management and reporting. Develops and maintains Power BI dashboards, reports, and data models for portfolio monitoring and management reporting. Uses SQL to retrieve, analyze, and reconcile data across multiple sources. Identifies data errors, discrepancies, and anomalies and performs root-cause analysis to resolve issues and improve data quality. Supports regulatory and internal reporting and Commercial Real Estate portfolio reviews, including data preparation, analysis, trend identification, and validation. Develops specialized and ad hoc reporting and analysis for business and management needs. Identifies opportunities to automate reporting, improve data processes, and reduce manual effort. Partners with Commercial Real Estate, technology, and other teams to troubleshoot data and reporting issues. Documents key data sources, reporting processes, and business rules. Manages multiple priorities and reporting requests while maintaining accuracy and meeting deadlines. Performs other duties as assigned. Basic Qualifications Bachelor's degree. 5+ years of data/business analysis, reporting. Required Technical Skills Demonstrated hands-on experience with Power BI. Working proficiency with SQL. Experience working with, validating, and analyzing data from multiple sources. Strong analytical, problem-solving, and data-quality skills. Preferred Qualifications Experience with Power Query and advanced Microsoft Excel. Experience investigating and reconciling complex data issues. Ability to interpret complex data and clearly communicate findings to business and management audiences. Strong attention to detail, organization, and ability to manage multiple priorities. Experience in banking, financial services, Commercial Real Estate, credit, risk management, or regulatory reporting. Strong written and verbal communication skills. Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible for overtime pay) Yes Workplace Type Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Huntington will not sponsor applicants for this position for immigration benefits, including but not limited to assisting with obtaining work permission for F-1 students, H-1B professionals, O-1 workers, TN workers, E-3 workers, among other immigration statuses. Applicants must be currently authorized to work in the United States on a full-time basis. Compensation Range $52,000.00 - 101,000.00 Annual Salary The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Description Internet Brands is looking for an Associate Data Analyst to join our El Segundo based data analytics team. The Ideal Candidate: You are an organized self-starter with a keen business sense who loves digging into data to understand trends and performance. You have a passion for manipulating large volumes of data, building dashboards, and have a consistent focus on efficiency. You easily understand requirements and communicate the progress and status of your work. You have a bias for action and know when to apply the 80/20 rule. You're also a great teammate who likes a rapidly changing environment and wants to join a company that offers a ton of opportunities to build your skills. The Associate Data Analyst's primary role is to provide data and analysis support for tracking and reporting for the health vertical (WebMD/Medscape This position requires an ability to understand the key metrics of a business and to develop reporting based on business requirements. The analyst will work in a project team-oriented and dynamic environment which will require working closely with other teams and adjusting to new developments as they arise. Various software packages and tools will be utilized in order to collect, mine, and report on this data. Strong analytical and communication skills with a proven ability to meet deadlines is critical for this position. In this role, you will: Create insightful, easy to understand visualizations that provide performance, trending and benchmarking analysis to meet business needs. Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by partners. Support the business with time-critical data analyses. Performing analysis of web traffic, email engagement, and app engagement data to understand and measure the success of programs, including click through analysis, retention, re-engagement and A/B testing. Become a subject matter data (and business) expert related to appointed areas of responsibility. Understand and recommend how AI can assist in improving the assigned task. Required Qualifications: Degree in Statistics or Business or equivalent work experience Strong analytical, conceptual, and problem-solving abilities. Strong communication skills. Preferred Qualifications: 1-2 years of equivalent work experience Experience accessing data from data bases. Proficient with creating, maintaining, and optimizing data visualizations dashboards Proficient in using SQL for data analysis and reporting. Advanced Excel skill Knowledge and experience with AI systems and capabilities. At Internet Brands, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. We expect the compensation for this role to range at $65k-$70k and will depend on your skills, qualifications, and experience. We encourage all interested candidates to apply. In addition to our awesome culture, we offer a comprehensive benefits package designed to support the health and well-being of you and your family. Our benefits include health insurance options such as medical, dental, and vision coverage, flexible spending accounts (FSA) for medical and dependent care, short-term and long-term disability insurance, and life and AD&D insurance. We also provide a 401(k) retirement savings plan with a company match, paid time off (PTO), paid holidays, as well as access to our Employee Assistance Program (EAP) and well-being coaching services. In addition, employees can take advantage of voluntary benefits such as home, auto and pet insurance, and discounted legal and financial services. For more details, feel free to inquire during the interview process. Internet Brands®, headquartered in El Segundo, Calif, is a fully integrated online media and software services company focused on four high-value vertical categories: Health, Automotive, Legal, and Home/Travel. The company's properties and platforms include the WebMD, Medscape, and Henry Schein ONE networks, which are the global leaders in their markets; Nolo, Avvo, and Martindale, which form the largest consumer information provider in the legal market; and CarsDirect, Fodor's Travel, and many others which are leaders in their key vertical markets. Internet Brands' award-winning consumer websites lead their categories and serve more than 250 million monthly visitors, while a full range of web presence offerings has established deep, long-term relationships with SMB and enterprise clients. The company's powerful, proprietary operating platform provides the flexibility and scalability to fuel the company's continued growth. Internet Brands is a portfolio company of KKR and Warburg Pincus. Internet Brands is an equal opportunity employer, and we welcome applicants from all backgrounds. We comply with all applicable laws and regulations, including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO). Notice to California residents: you can find information about our privacy practices, on: https://www.internetbrands.com/work-with-us/cpra

Posting Details Job Title Business Data Analyst Requisition Number RE56244 Working Title Department Name 7H85T:SURGERY-TRAUMA & ACUTE CARE Work Location Lexington, KY Grade Level 47 Salary Range $58,302-96,179/year Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 3 yrs Required License/Registration/Certification None Physical Requirements Sitting for long periods, Shift M-F 8a-5p with after hours and weekends as required Job Summary The RMOCC Data Analyst (East/West Liaison) supports the collection, validation, analysis, and communication of regional healthcare and EMS data. The East regional liaison data analyst will coordinate with the University of Kentucky (UK) team, while the West regional liaison data analyst will coordinate with the University of Louisville (UofL) in line with a consistent RMOCC operating model. The data analyst will translate operational data into timely, decision-relevant information for RMOCC leadership and regional partners, working closely with the counterpart analyst to align data practices across regions, identify capacity and patient-flow trends, support dashboards and recurring reports, and improve data quality and usability. The analyst will also support the monitoring, analysis, and reporting of Pulsara utilization and transfer coordination data, helping identify opportunities to improve interfacility communication, patent movement, and regional resource coordination. During RMOCC activations or surge events, the analyst may provide data and situational awareness support within the established command and escalation structure. Skills / Knowledge / Abilities Does this position have supervisory responsibilities? No Preferred Education/Experience Experience developing dashboards and automated reported workflows using tools such as Power BI, Tableau, Python, R, or comparable platforms. Experience working in EMS , emergency response, public safety, healthcare operations, or other fast-paced emergency care environments. Experience working with electronic health records (EHRs), patient care reporting systems, or other healthcare data systems, including handling protected health information ( PHI ) according to compliance requirements. Familiarity with federal grant programs, grant administration, and associated reporting, compliance, and performance measurement requirements. Deadline to Apply 11/01/2026 Our University Community We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors, the University of Kentucky is a Tobacco & Drug Free campus. The University follows both the federal and state Constitutions as well as all applicable federal and state laws on nondiscrimination. The University provides equal opportunities for qualified persons in all aspects of institutional operations and does not discriminate on the basis of race, color, national origin, ethnic origin, religion, creed, age, physical or mental disability, veteran status, uniformed service, political belief, sex, sexual orientation, gender identity, gender expression, pregnancy, marital status, genetic information or social or economic status. Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen. #CampusGrade

If you're passionate about building a better future for individuals, communities, and our country—and you're committed to working hard to play your part in building that future—consider WGU as the next step in your career. Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families. The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: Grade: Professional 308 Pay Range: $75,200.00 - $112,700.00 Job Description The IAR Data Analyst is responsible for extracting, processing, analyzing, and reporting on data to produce rigorous, actionable insights and research. They establish and maintain strong relationships with peers and leaders across IAR, Data Engineering, Product Management, Finance, EdTech, and Faculty staff. They perform ad hoc analyses, build standard reports and data visualizations, and deliver information and insights through various methods and media that privilege data storytelling and compress time-to-action. Impact You'll Make At WGU, data plays a critical role in shaping the student experience and informing strategic decisions. As a Data Analyst, you will transform complex data into actionable insights that support program development, student engagement, and marketing effectiveness. Working cross-functionally with stakeholders across Program Development, Product, Decision Intelligence, Marketing, and Data Engineering, you will help drive meaningful outcomes through data-driven decision-making. What You'll Do Analyze large datasets to uncover trends and deliver actionable insights that inform program development, student engagement strategies, and marketing initiatives. Build, maintain, and enhance dashboards and data visualizations, including consolidating and improving existing reporting assets. Translate stakeholder needs and ambiguous business questions into technical requirements and data-driven solutions. Partner with Data Engineering to support ETL and data pipeline development while ensuring data quality and reliability. Perform ad hoc analyses and communicate findings through compelling data storytelling and recommendations. Apply descriptive statistics, translate ambiguous business questions into structured analytical approaches, identify root causes and performance drivers, and develop actionable recommendations and analytical techniques to identify patterns, trends, and opportunities for improvement. Collaborate with cross-functional teams including Program Development, Product, Marketing, and Decision Intelligence to support strategic initiatives and drive business impact. Analyze customer journeys, marketing funnels, audience segments, and channel performance to identify drivers of acquisition, engagement, conversion, and downstream outcomes. What You'll Bring Bachelor's degree in a related discipline. 3 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, Behavioral/Cognitive Psychology, Marketing Analytics, or Digital Analytics. Strong SQL skills and experience querying large datasets. Experience with Tableau or Power BI for data visualization. Experience working with ETL or ELT processes and data pipelines. Solid working knowledge of descriptive statistics and analytical methods, with the ability to apply them to real-world datasets Ability to apply sound judgment and analytical thinking to identify root causes of data issues and inform recommendations. Bonus Points Experience working with large-scale datasets containing millions of records. Familiarity with Databricks or similar data platforms. Proficiency in a programming language such as Python or R, experience with GitHub and analytics documentation standards, and experience contributing to dashboard optimization or consolidation projects. Experience with marketing, digital, or customer journey analytics, preferably with hands-on experience for Adobe Analytics and/or Adobe Customer Journey Analytics or other related platforms. Experience with marketing funnel measurement, attribution modeling, channel performance analysis, customer segmentation, and marketing experimentation and testing. Ability to translate ambiguous business problems into scalable technical and analytical solutions. Experience applying root cause analysis and diagnostic methodologies to identify drivers of business performance and data issues. Experience producing AI-assisted analytics, including leveraging AI-enabled tools and technologies to accelerate analysis, generate insights, enhance reporting, and support data-driven decision-making. Experience In Lieu Of Education An equivalent combination of education and experience that demonstrates the required competencies may be considered. What To Expect At WGU, our mission drives everything we do, including how we hire. Our interview experience is designed to allow qualified candidates to show their best work through meaningful conversations and collaboration. We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission. Introductory call Hiring manager interview Technical interview Interview with Sr Director Work Location This is a full-time, in-office position requiring five days per week in our Salt Lake City, UT office, designed to foster the collaboration and connection that fuel our best work. Visa Sponsorship While we welcome applicants from all backgrounds, WGU is not able to provide visa sponsorship for this role. Travel Requirement This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements. Position & Application Details Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave. How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday. Additional Information Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive. Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu. Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

Job Summary The Analyst provides analytical support for all departments, including analysis, pricing, capitation, network and provider specific reporting. Analytical support includes creating and executing beginner and intermediate level reports and programs and programming modifications to previously written reports. The Analyst will collaborate with key stakeholders and determine the needed result including any special specifications. The Analyst will work with several databases to pull and integrate data, statistical analysis and data modeling. Key Responsibilities Execute, write, test, validate, analyze and distribute reports. Determine appropriate approach and tools needed to complete project in an efficient and timely manner. Collaborate with key stakeholders and senior analysts. Determine, write and present report results with key findings and trends to appropriate stakeholders. Complete multiple concurrent ad-hoc analyses, provide corresponding reports based on customer specifications, determine and communicate analytical conclusions and recommendations. Develop beginner to intermediate level reports and ad-hoc analysis based on specifications outlined by department management. Automate such reports and ensure that they are performed and delivered on schedule. Perform tasks related to maintenance of Departmental Data Warehouse and its documentation. Perform other job-related duties as assigned. Qualifications Ability to apply advanced mathematical and statistical techniques and principles into the analysis of health-related data. Possess strong oral and written communication skills with the ability to communicate results in a clear and concise manner. Ability to converse and write fluently in English. Successful completion of Health Care Sanctions background check. Proficient in Microsoft Office applications. Education/Experience Bachelor's degree Required. Mathematics, Statistics, Economics, Actuarial Science or other quantitative discipline preferred. Demonstrated use of analytical software. SAS or SQL preferred. Experience in Power BI, Tableau or similar software preferred.1-2 years of related experience preferred. CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be challenged by three types of work – Innovation, Business Intelligence and Data Management: Innovation Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives Business Intelligence Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization Drive analysis that provides meaningful insights on business strategies Data Management Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance Build and execute tools to monitor and report on data quality Our ideal candidate will have: Degree specialized in a Science, Technology, Engineering, Mathematics discipline Scripting experience in (Python, R, Spark, and SQL) Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data) Experience utilizing and developing within Snowflake services Basic Qualifications: Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree with an expectation that required degree will be obtained on or before the scheduled start date. At least 1 year of experience working with at least one scripting language At least 1 year of experience utilizing business intelligence visualization tool At least 1 year of experience querying, analyzing and working with data languages and platforms Preferred Qualifications: Master's Degree in a Science, Technology, Engineering, Mathematics discipline At least 2 years of experience coding in Python, R, Spark, or SQL At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc. At least 1 year of experience utilizing and developing within AWS services At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $111,200 - $126,900 for Sr. Data Analyst Richmond, VA: $101,100 - $115,400 for Sr. Data Analyst New York, NY: $121,300 - $138,400 for Sr. Data Analyst Chicago, IL: $101,100 - $115,400 for Sr. Data Analyst San Francisco, CA: $121,300 - $138,400 for Sr. Data Analyst Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).