Requisition Number: 2357013 We'll put you in the driver's seat on vital projects that have strategic importance to our mission of helping people lead healthier lives. Yes, we share a mission that inspires. We need your organizational talents and business discipline to help fuel ours. For those who want to invent the future of health care, here's your opportunity. We're going beyond basic care to health programs integrated across the entire continuum of care. Join us to start Caring. Connecting. Growing together. The Lewin Group/OptumServe Consulting, a premier national health care and human services consulting and policy analysis firm with 50 years of experience, finds answers and solves problems for leading organizations in the public, non-profit, and private sectors. Seeking a dynamic, goal-oriented Director, Data Analytics to work on health and human services projects requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Schedule: Monday - Friday, daylight hours in your time zone Primary Responsibilities: - Independently perform a broad range of quantitative analysis to inform the design, implementation, and evaluation of Medicare and Medicaid payment models - Develop strategic working relationships with clients - Design payment calculations, conduct financial and trend analysis, calculate quality metrics, and perform fast-paced ad-hoc analysis to quickly address client needs - Efficiently query large databases of healthcare claims and eligibility data - Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy - Mentor other staff to develop their technical and analytical problem-solving skills - Write detailed specifications and documentation of data processing and analytical steps - Write effective and efficient code both independently and under the guidance of project managers using best practice quality control procedures - Maintain a consistently high degree of accuracy and attention to detail in all tasks - Work effectively and cooperatively as a member of a project team - Help to oversee adoption of artificial intelligence into technical activities You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 8+ years of experience using SQL, Python, R or SAS in a research, consulting, or business environment - 6+ years of experience working on federal health policy issues, including Medicare and Medicaid value-based payment, working in multiple areas serving as a subject matter expert - Experience working with Medicare or Medicaid healthcare claims and enrollment data - Experience working with and advising clients - Experience in managing personnel - Extensive knowledge of healthcare data/payment concepts (e.g., claims data structure/contents, claim types, payment concepts) - Experience managing and working directly with teams operating in Snowflake and/or Databricks environments. - Experience incorporating AI into technical workflows. - Excellent written and oral communication skills, including the ability to clearly communicate analyses and findings to clients Preferred Qualifications: - Academic coursework in advanced statistics or econometric modeling - Experience supporting multi-year payment model implementation contracts - Experience leading statistical analysis to inform health policy - Experience with databases having complex structures and relationships, such as the Integrated Data Repository, Chronic Conditions Warehouse, or similar data environment - Experience working with Github - Familiarity with Medicare payment methodologies *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $134,600 to $230,800 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. OptumCare is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. OptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Role Description Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product and cross-functional teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward. We're looking for a Finance Data Analyst to dig into our complex databases and look for the root cause of a problem. You'll design solutions by writing your own code to implement them. Up to shape what's next in finance? Let's get in touch. What you'll be doing - Building and adapting data models and ETL processes for regulatory reporting - Helping Product and Operations teams gain insights into customer behaviour - Translating complex requirements into clear, efficient data solutions - Maintaining and improving reporting infrastructure, ensuring accuracy, compliance, and high data quality - Working with Regulatory Reporting Managers and business teams to align on logic and data needs - Monitoring and improving data reliability, applying impeccable attention to detail - Setting up local regulatory reporting processes Qualifications - 5+ years of experience in an analytical role, creating impactful data-driven solutions - Fluency in English and Spanish - Solid SQL skills and an understanding of complex data systems - Experience with data architecture, ETL design, and pipelines - The ability to adjust data to strict regulatory specifications efficiently - Great collaboration skills to work with reporting managers and cross-functional teams - To be detail-oriented, quality-focused, and able to deliver under tight timeframes Nice to have - Knowledge of accounting or tax principles Important notice for candidates - Only apply through official Revolut channels. - We don't use any third-party services or platforms for our recruitment. - Always double-check the emails you receive. - Make sure all communications are being done through official Revolut emails, with an @revolut.com domain. - We won't ask for payment or personal financial information during the hiring process. - If anyone does ask you for this, it's a scam. Report it immediately.

Role Description This HR Data Analyst role supports a federal human capital organization by delivering advanced workforce analytics, reporting, and data-driven insights. You will extract, analyze, and translate HR data from multiple federal systems into clear, executive-level insights that inform workforce planning, hiring strategies, and organizational performance. The position focuses on transforming complex HR datasets into actionable information that supports leadership decisions and continuous improvement across human capital operations. Responsibilities - Support workforce analytics initiatives by collecting, analyzing, and interpreting federal Human Resources data from systems such as NFC, HRConnect, USA Staffing, and other federal HR platforms. - Develop and maintain dashboards and reports that track key HR metrics, including hiring timelines, attrition, workforce demographics, and onboarding progress. - Build dynamic tools in Excel, Power BI, or similar platforms that allow real-time updates and adjustments during executive briefings and leadership meetings. - Provide recurring and ad hoc data analysis to support HR data calls, audits, and reporting requirements, and clearly demonstrate the outcomes and implications of the analysis. - Extract, normalize, and organize historical HR data from federal systems and portals such as the National Finance Center (NFC), HR Connect, USA Staffing, and Enterprise Services Portal. - Track, collect, and develop datasets that support HR audits, payroll reviews (A-123), and performance reporting requirements. - Translate complex HR datasets into clear, concise, and visually compelling presentations and dashboards for senior leadership. - Convert technical HR terminology and federal HR processes into plain-language insights that non-HR stakeholders can easily understand and act upon. - Assist in end-to-end hiring analytics, including pipeline tracking, onboarding timelines, and process optimization, and identify inefficiencies while recommending data-driven improvements. - Support continuous improvement initiatives through data analytics that align with agency HR and management goals. - Respond rapidly to changing requirements, shifting priorities, and emergent leadership requests for HR data and analysis. - Collaborate closely with HR teams, program offices, and leadership to refine analytics needs, clarify requirements, and deliver tailored analytical products. - Provide on-the-spot data adjustments, recalculations, and analysis during meetings using tools such as HRConnect, NFC, USA Staffing, and Microsoft Excel. - Pull, clean, and manipulate large datasets for data calls, convert raw data into ratios, percentages, and metrics suitable for executive briefings, and create searchable Excel workbooks. - Combine and reconcile multiple datasets into a single, coherent data call response, ensuring consistency, accuracy, and clarity. - Leverage AI tools, such as Copilot, where appropriate to support analytics, automate formulas, and improve efficiency in data processing and reporting. Qualifications - Minimum of 4 years of experience supporting federal HR data calls, audits, and reporting requirements, including translating complex HR and workforce data into clear, actionable insights for senior leaders. - Strong understanding of federal HR processes, including hiring, onboarding, personnel actions, and workforce planning. - Advanced expertise in Microsoft Excel, including pivot tables, advanced formulas, and data modeling. - Proficiency with SQL, including writing queries and formulas to extract, join, and analyze data from multiple sources. - Experience building interactive dashboards using tools such as Excel, Power BI, Tableau, or similar platforms. - Demonstrated ability to manipulate and analyze large datasets, summarize numerical and quantifiable data, and provide usable information for decision-makers. - Experience pulling large data sets for data calls and converting raw data into ratios, percentages, and analytics suitable for executive-level briefings. - Ability to create Excel sheets and workbooks where data can be easily searched, filtered, and updated. - Familiarity with federal HR systems such as NFC (National Finance Center), HR Connect, USA Staffing (USAS), and other federal HR platforms. - Experience combining multiple datasets into a single, accurate data call response. - Strong storytelling skills using data visualization and executive-level presentations. - Knowledge of human capital strategies and workforce analytics methodologies. - Eligibility to obtain and maintain a government-required Public Trust security clearance. - U.S. citizenship, as required for access to federal systems and clearance processes. Additional Skills & Qualifications - Experience utilizing AI tools, such as Copilot, to support analytics, automate formulas, and enhance data processing efficiency. - Experience with Enterprise Services Portal or similar federal HR portals. - Demonstrated ability to present complex information in a clear, concise, and visually engaging manner for senior and non-technical audiences. - Experience supporting HR audits and payroll reviews, including A-123 reviews. - Strong collaboration skills and experience working with HR teams, program offices, and leadership to refine analytics requirements and deliver tailored solutions. - Comfort working in a fast-paced environment with shifting priorities and evolving data requests. Work Environment This position is classified as an HR Data Analyst role and is structured as a full-time equivalent (1 FTE) opportunity. The work environment is fully remote, allowing you to support federal human capital operations from a home-based setting while collaborating virtually with HR teams, program offices, and leadership. You will work extensively with federal HR systems such as NFC, HR Connect, USA Staffing, and other federal HR platforms, as well as tools like Microsoft Excel, Power BI, Tableau, SQL, and AI-based analytics assistants. The role requires the ability to obtain and maintain a Public Trust security clearance and may involve occasional coordination across time zones to meet federal reporting deadlines and leadership requests. No travel is required for this position. Job Type & Location This is a Contract to Hire position based out of Reston, VA. Pay and Benefits The pay range for this position is $90,000.00 - $125,000.00/yr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Jul 15, 2026.

Role Description If this opportunity aligns with your strengths, background, and commitment to fostering inclusivity, we encourage you to apply! At the Oregon Health Authority (OHA), we value diversity and encourage applicants from all backgrounds and experiences to help us build a stronger, more equitable future for all. The primary purpose of this position is to serve as the subject matter expert and data lead for the Rural Health Transformation Project (RHTP). This position leads the administration, management, and monitoring of qualitative and quantitative data to support project goals and CMS reporting requirements. The RHTP Data Lead: - Develops systems to ensure reliable access to data. - Collaborates across the Health Policy & Analytics Division (HPA) and other OHA divisions to identify and collect data. - Provides guidance on data collection strategies, including surveys, interviews, focus groups, and administrative data. - Develops and implements monitoring strategies. - Oversees data quality and validation. - Fulfills internal and external data requests. - Supports the development of reports, metrics, data visualizations, and actionable insights. - Ensures compliance with CMS monitoring requirements. - Provides data expertise to support other HPA monitoring priorities. This position is funded through the Rural Health Transformation Program (RHTP) grant and is contingent upon the continued availability of grant funding. Qualifications - A Bachelor's Degree in any disciplines that included six-quarter units in statistics or quantitative analysis methods and procedures, and three years’ experience using computerized applications to independently gather, compile, and analyze data and prepare narrative or statistical reports. Two of the three years must have included coordinating complex research projects. - OR Five years of research experience using computerized applications to independently gather, compile, and analyze data and prepare narrative or statistical reports. Two of the five years must have included coordinating complex research projects. Requirements - Demonstrated expertise in health care policy and program evaluation, including the design and implementation of qualitative, quantitative, and mixed-method evaluation methodologies. - Extensive experience using healthcare data to develop performance metrics, monitor outcomes, and produce dashboards, scorecards, and other data-driven reporting tools. - Advanced proficiency in data visualization and business intelligence tools, such as Power BI, Tableau, SharePoint BI, or comparable platforms, to communicate actionable insights to diverse audiences. - Demonstrated ability in collecting, analyzing, and interpreting complex data, including Race, Ethnicity, Language, and Disability (REALD) and other equity-related data, to support equitable policy and program decision-making. - Proven experience in leading complex projects with multiple priorities, managing timelines, deliverables, contracts, and responding effectively to evolving business needs and time-sensitive data requests. - Collaboration skills demonstrated through successful partnerships with cross-functional teams, independent evaluators, external partners, and executive leadership to achieve shared program goals. - Exceptional ability in written and verbal communication, including synthesizing complex information into clear reports, presentations, data visualizations, and recommendations for technical and non-technical audiences. - High level of skill in working independently with minimal supervision while exercising sound judgment, maintaining exceptional organizational skills, attention to detail, and producing high-quality professional work products. Benefits - Excellent, low-cost medical, vision, and dental coverage for you and your family. - Optional benefits like life insurance, disability coverage, deferred compensation, and FSA options for health and childcare. - Generous paid time off: 11 holidays, 3 personal days, monthly sick leave, and vacation accrual starting at 8 hours/month. - Potential eligibility for the Public Service Loan Forgiveness Program. - Retirement security through Public Employees Retirement System (PERS)/Oregon Public Service Retirement Plan (OPSRP). - Training and development opportunities to grow your career with the State of Oregon.