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Company Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks , reflecting our dedication to their success. We invest deeply in our educ…

Starting Salary: $60,000 - $80,000 /year based on experience Environment: Special Education Program, Grades 6-12 ChanceLight Behavioral Health, Therapy, & Education , a growing, dynamic organization with a social mission to offer hope, is seeking a Special Education Teacher to join our award-winning team and perform meaningful work in a culture that welcomes innovation, encourages creative expression and offers limitless potential for personal and professional satisfaction! If you're passiona…

Futures start here. Where first steps, new friendships, and confident learners are born. At KinderCare Learning Companies, the first and only early childhood education provider recognized with the Gallup Exceptional Workplace Award , we offer a variety of early education and child care options for families. Whether it's KinderCare Learning Centers, Champions, or Crème de la Crème, we build confidence for kids, families, and the future we share. And we want you to join us in shaping it—in neighb…

$2,000 Completion Bonus $3,000 in referral bonuses! Start the 2026–2027 school year strong with Seabright . We're offering a $2,000 Completion Bonus for eligible clinicians and educators who commit to and complete their full school year assignment (30 hours/week), plus the opportunity to earn up to $3,000 in referral bonuses. Whether you're looking for a local or travel opportunity, we'll help you find the right fit where you can do your best work and make a difference every day. ABOUT US Seab…

Company Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks , reflecting our dedication to their success. We invest deeply in our educ…

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work you'll do As an AI and Data Science Engineer II on the team, you will be responsible for: Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability Develops and maintains AI-enabled capabilities embedded within the AIE platform and software delivery lifecycle A successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to provide clear guidance to others The team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets. Qualifications Required: Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field 3+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions Must possess an active U.S. Secret security clearance and be able to maintain it for the duration of employment and assignment Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve. Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred: Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field 2+ years of experience deploying machine learning models into production environments 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions 1+ years of experience in Salesforce Agentforce 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes The wage range for this role 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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 110,700 to $218,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. ai&e fy27 profile

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work you'll do As an AI and Data Science Engineer II on the team, you will be responsible for: Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability Develops and maintains AI-enabled capabilities embedded within the AIE platform and software delivery lifecycle A successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to provide clear guidance to others The team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets. Qualifications Required: Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field 3+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions Must possess an active U.S. Secret security clearance and be able to maintain it for the duration of employment and assignment Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve. Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred: Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field 2+ years of experience deploying machine learning models into production environments 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions 1+ years of experience in Salesforce Agentforce 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes The wage range for this role 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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 110,700 to $218,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. ai&e fy27 profile

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. We are looking for a Senior Machine Learning Engineer to join our Confluence Cloud AI team. The Confluence Cloud AI team builds and deploys machine-learning solutions that drive revenue generation, expand our active user base, and provide sophisticated forecasting for company top-line metrics. We work across the complete end-to-end machine-learning development lifecycle, from problem definition and experimentation through production deployment and ongoing improvement. This is a unique opportunity to work in a highly collaborative environment, apply advanced machine-learning techniques, particularly forecasting models, and solve challenging, high-impact problems. You'll collaborate with stakeholders across Growth, GTM, Product, Finance, and Sales while working alongside experienced ML engineers and full-stack engineers. Working at Atlassian Atlassians have flexibility in where they work, whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, as part of being a distributed-first company. Responsibilities Drive the development and implementation of advanced machine-learning algorithms for business-critical applications. Build scalable, reliable, and highly performant forecasting algorithms, including deep-learning-based models, to forecast company top-line metrics at a granular level. Lead the end-to-end machine-learning development lifecycle, including problem definition, data preparation, modeling, experimentation, evaluation, deployment, and iteration. Design system and model architectures that support production-quality machine-learning solutions. Develop rigorous model-evaluation approaches and use data-driven insights to improve model quality and business impact. Collaborate with business, engineering, analytics, Growth, GTM, Product, Finance, and Sales teams to translate complex problems into practical solutions. Build and improve machine-learning infrastructure and modeling applications that can scale with the needs of the business. Explain machine-learning concepts and recommendations clearly to both technical and non-technical audiences. Provide technical guidance and mentorship to junior ML engineers. Balance high-quality output with business practicality, rapid iteration, and measurable customer and business outcomes. Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. This role may also be eligible for benefits, bonuses, commissions, and equity. Pay Ranges Role In The United States , we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A : $206,100 - $269,075 Zone B : $185,490 - $242,168 Zone C : $171,063 - $223,332 Qualifications Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh . In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. We are looking for a Senior Machine Learning Engineer to join our Confluence Cloud AI team. The Confluence Cloud AI team builds and deploys machine-learning solutions that drive revenue generation, expand our active user base, and provide sophisticated forecasting for company top-line metrics. We work across the complete end-to-end machine-learning development lifecycle, from problem definition and experimentation through production deployment and ongoing improvement. This is a unique opportunity to work in a highly collaborative environment, apply advanced machine-learning techniques, particularly forecasting models, and solve challenging, high-impact problems. You'll collaborate with stakeholders across Growth, GTM, Product, Finance, and Sales while working alongside experienced ML engineers and full-stack engineers. Working at Atlassian Atlassians have flexibility in where they work, whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, as part of being a distributed-first company. Responsibilities Drive the development and implementation of advanced machine-learning algorithms for business-critical applications. Build scalable, reliable, and highly performant forecasting algorithms, including deep-learning-based models, to forecast company top-line metrics at a granular level. Lead the end-to-end machine-learning development lifecycle, including problem definition, data preparation, modeling, experimentation, evaluation, deployment, and iteration. Design system and model architectures that support production-quality machine-learning solutions. Develop rigorous model-evaluation approaches and use data-driven insights to improve model quality and business impact. Collaborate with business, engineering, analytics, Growth, GTM, Product, Finance, and Sales teams to translate complex problems into practical solutions. Build and improve machine-learning infrastructure and modeling applications that can scale with the needs of the business. Explain machine-learning concepts and recommendations clearly to both technical and non-technical audiences. Provide technical guidance and mentorship to junior ML engineers. Balance high-quality output with business practicality, rapid iteration, and measurable customer and business outcomes. Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. This role may also be eligible for benefits, bonuses, commissions, and equity. Pay Ranges Role In The United States , we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A : $206,100 - $269,075 Zone B : $185,490 - $242,168 Zone C : $171,063 - $223,332 Qualifications Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh . In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

The P&C Insurance Industry Data Analytics Engineer at Mutual of Enumclaw will bridge the gap between raw data and business insights by designing, building, and governing analytics-ready data assets across the P&C (Property & Casualty) insurance value chain - Underwriting, Actuarial, Claims, Product, Distribution, and Finance - and all lines of business (Personal, Commercial, and Farm.) This role translates insurance business logic into governed, scalable data models, partnering with stakeholders to deliver trusted reporting and analytics solutions and plays a key role in advancing our Snowflake-based medallion architecture and enabling data-driven decision-making across the company. Location: Preference will be given to those residing in WA, OR, ID, MT, WY, AZ, or UT. (Candidates must be able to work during our core Pacific Time Zone business hours.) Responsibilities: Business Partnership & Delivery Partner with business stakeholders to define KPIs, reporting requirements, and scalable analytics solutions that support strategic and operational decision-making Design and maintain dashboards, reports, and visualizations in Sigma, Power BI, or similar BI platforms to deliver trusted business insights Data Modeling & Engineering Design and maintain scalable data models, pipelines, and semantic layers within a modern Snowflake/dbt architecture to support self-service analytics Integrate data from internal and external sources (e.g., policy systems, Salesforce, HubSpot) Data Governance & Quality Define and enforce data governance standards, including data definitions, access controls, and metadata management Validate and test data outputs to ensure accuracy and reliability Monitor data performance and continuously improve data products based on user feedback Agile Delivery & Support Collaborate with Product Owners and Agile teams to deliver high-quality data products Provide production support and troubleshoot data/reporting issues as needed Required Skills and Abilities: P&C (Property & Casualty) insurance experience required, including familiarity with Underwriting, Claims, and Insurance reporting metrics Strong experience building dashboards and reports in Sigma, Power BI, or similar BI platforms Strong experience with cloud data warehouses (Snowflake preferred) and transformation tools such as dbt Solid understanding of dimensional modeling, ELT processes, and modern data architectures (e.g., medallion/Lakehouse) Knowledge of data integration methods including APIs and semi-structured data Strong communication skills with the ability to translate technical concepts for business audiences Experience working in Agile environments Proficiency in SQL Education and Experience: Bachelor's degree in data science, computer science, statistics, or a related field (or equivalent experience) 5+ years of experience in data analytics, data engineering, or related roles within the insurance industry Experience working with data systems, pipelines, and reporting solutions Hiring Range: $140,891 - $157,545 * Salary Range: $140,891 - $171,631 * The Hiring Range represents Mutual of Enumclaw's current hiring pay scale for this role. Mutual of Enumclaw reserves the right to modify or update this range any time. Exact compensation may vary based on skills and experience. Compensation is only one part of our entire total rewards package. To see some of the benefits and perks we offer, please click here . Physical Requirements: Prolonged periods of sitting at a desk and working on a computer, including video conferencing.

At Zelis, we Get Stuff Done. So, let's get to it! A Little About Us Zelis is modernizing the healthcare financial experience across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients. At Zelis, AI is woven into the fabric of how we work. Every associate is expected - and empowered - to partner with AI to challenge the status quo, accelerate innovation, and amplify their impact. This is a place for builders with a growth mindset who act with agility, embrace change, and use modern technology to shape smarter solutions, exceptional experiences, and the future of our industry for our clients, customers, and our culture. A Little About You You bring a unique blend of personality and professional expertise to your work, inspiring others with your passion and dedication. Your career is a testament to your diverse experiences, community involvement, and the valuable lessons you've learned along the way. You are more than just your resume; you are a reflection of your achievements, the knowledge you've gained, and the personal interests that shape who you are. Position Overview The Analyst II, Data Analysis will be responsible for analyzing complex data sets to derive actionable insights and support data-driven decision-making across the organization. This role requires a skilled data analyst with strong analytical abilities, a deep understanding of statistical methods, and the ability to collaborate effectively with cross-functional teams. The ideal candidate will have experience in data analysis, excellent problem-solving skills, and a passion for leveraging data to drive business outcomes. What You'll Do Analyze large and complex data sets to identify trends, patterns, and insights. Develop and implement statistical models and algorithms to solve business problems. Validate and refine models to ensure accuracy and reliability. Create clear and compelling data visualizations to communicate findings to stakeholders. Prepare and present regular reports on data analysis outcomes to senior leadership. Develop dashboards and other tools to enable self-service data access for business users. Collect, clean, and preprocess data from various sources to ensure data quality and consistency. Collaborate with data engineers and IT teams to design and implement data pipelines and workflows. Ensure data is properly stored, organized, and accessible for analysis. Work closely with business stakeholders to understand their data needs and provide actionable insights. Collaborate with cross-functional teams, including marketing, product, and finance, to support data-driven decision-making. Provide training and support to team members on data analysis and visualization best practices. Stay informed about industry trends, emerging technologies, and best practices in data analysis. Identify opportunities for process improvements and implement innovative solutions. Attends company training and regional training in area of expertise. Presents own work to members of department. What You'll Bring To Zelis Typically has Bach. +2-3 yrs; Masters +0 yrs Requires proficiency using AI tools skillfully with an understanding of how to develop/create intelligent prompts and/or agents. Fluency with data analysis tools (e.g., SQL, Python, R, Excel). Proficiency with data visualization tools (e.g., Tableau, Power BI) is a plus. Healthcare claims editing experience a plus. Understanding of statistics and data modeling preferred. Strong communication, analytical and problem-solving skills. Excellent attention to detail and accuracy. Experience presenting findings to senior leadership team Experience with big data technologies (e.g., Hadoop, Spark) is a plus. Knowledge of machine learning techniques and algorithms. Certification in data analysis or related fields. Please note at this time we are unable to proceed with candidates who require visa sponsorship now or in the future. Location and Workplace Flexibility Zelis is headquartered in the U.S., with multiple locations across the country and in Hyderabad, India. Check out our locations to learn more about our offices. All employee work locations are based on the needs of the position and are determined by the Leadership team. In-office work and activities vary based on work and team objectives in accordance with Company policies. While location expectations vary by role, candidates within approximately 50 miles of a U.S. office are generally preferred to support collaboration when needed. Our hybrid approach is flexible, and in-office presence is guided by team and business needs rather than a fixed weekly schedule. Base Salary Range $71,000.00 - $90,250.00 At Zelis we are committed to providing fair and equitable compensation packages. The base salary range allows us to make an offer that considers multiple individualized factors, including experience, education, qualifications, as well as job-related and industry-related knowledge and skills, etc. Base pay is just one part of our Total Rewards package, which may also include discretionary bonus plans, commissions, or other incentives depending on the role. Zelis' full-time associates are eligible for a highly competitive benefits package as well, which demonstrates our commitment to our employees' health, well-being, and financial protection. The US-based benefits include a 401k plan with employer match, flexible paid time off, holidays, parental leaves, life and disability insurance, and health benefits including medical, dental, vision, and prescription drug coverage. Equal Employment Opportunity Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We welcome applicants from all backgrounds and encourage you to apply even if you don't meet 100% of the qualifications for the role. We believe in the value of diverse perspectives and experiences and are committed to building an inclusive workplace for all. Accessibility Support We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process, please email TalentAcquisition@zelis.com. Disclaimer The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities, duties, and skills from time to time.

Brief Description About the Role: The Junior Data Analyst will join the Data & Analytics team and support stakeholders across Operations, Sales, Finance, Purchasing, Business Development, and Engineering. The role centers on turning data into clear, reliable answers. That means working with business teams to understand their questions, analyzing data from across the company, keeping reporting accurate, and communicating findings in a way that supports decision-making. The role offers high visibility into company-wide processes. It's highly collaborative and suits someone who is curious, detail-oriented, and comfortable taking ownership of their work. This is an entry-level role for recent graduates or candidates with up to one year of experience. What You Will Do Write SQL queries against SQL Server to answer business questions and generate insights for Operations, Finance, Sales, and Business Development. Use Python to clean, analyze, and automate work with data. Handle ad hoc analysis requests from start to finish: clarify the question, pull and analyze the data, and present a clear answer. Validate data accuracy across reports and source systems, investigating and resolving discrepancies. Use AI coding assistants and help build AI agents that automate recurring analysis and reporting. Organize and reconcile data in Excel, mapping and merging data from multiple sources. Support finance-related analysis such as inventory, cost, and margin reporting. Monitor Power BI dashboards for data accuracy and refresh issues, escalating to the BI development team as needed. Identify trends, anomalies, and opportunities within datasets and flag them proactively. Prepare data and visuals for internal and external-facing decks and reports. Document data definitions, query logic, and recurring processes. Manage and prioritize requests from multiple teams. Requirements We are Seeking People Who: Have a bachelor's degree in Economics, Statistics, Data Science, Information Systems, or a related computational or quantitative field. Have up to one year of professional experience. Recent graduates are welcome. Have hands-on experience from a data-related internship or personal projects, with work they can share, such as a GitHub repository or portfolio. Are knowledgeable in SQL and can write queries, including joins and aggregations, to answer business questions. Can write Python code for data analysis, using libraries such as pandas. Understand at least one BI tool, such as Power BI or Tableau. Are proficient in Excel. Have a strong analytical and problem-solving mindset. Have excellent written and verbal communication skills. Are eager to learn new tools and technologies in a fast-paced environment. Have high attention to detail and are comfortable working with large datasets. Have exposure to Microsoft Fabric through coursework or personal projects, which is a plus. Understand data flows and architecture, which is a plus. Have completed coursework in data analysis, statistics, or business intelligence, which is a plus. Have an interest in the wireless, electronics, distribution, or supply chain industry, which is a plus. What's In It For You Salary Range: $65,000 to $75,000 per year Competitive salary and performance-based incentives. Opportunities for professional growth and development. A supportive and collaborative work environment. Comprehensive benefits package. A supportive, diverse and global team with a growth mindset. A scaling company with great industry professionals. Amazing opportunities to get involved with exciting projects at significant scale with some of the leading global companies. Work Location / Type: This role is on-site, and the candidate needs to be within commuting distance of Florham Park, NJ. Hours: 9:00 AM to 6:00 PM Eastern Time. We are an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, national origin, disability, or protected veteran status. Summary About PCS Wireless: Founded in 2001, by two visionary traders, PCS Wireless, affectionately known as "PCS", is not your average mobile distributor. Led by fearless entrepreneurs, PCS has completely transformed the landscape of the device resell market, both from a business and a consumer perspective. Today, PCS is a recognized global leader, powering the secondary market. At PCS, we buy and sell mobile devices and products worldwide through partners and programs by breathing new life into old devices effectively extending the device lifecycle up to 5X and beyond. We collaborate with industry giants in consumer electronic manufacturing, wholesalers, big box retailers and small businesses alike, catering to a diverse clientele of more than 1,500 clients. Our operations span major markets worldwide with offices and warehouses in the Americas, APAC, UK & EMEA. Our go-getting spirit valuing flexibility, a "me for we approach" and curiosity, continues to be the foundation of our success. We are looking for doers and thinkers who get things done and have fun while doing it!