Requisition Number: 2367149 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Our team, within Optum Financial Advanced Intelligence & Analytics, focuses on delivering scalable, data-driven solutions that support financial services and healthcare operations. We build and maintain curated datasets, automated file pipelines, and reporting solutions that enable operational insights, regulatory reporting, and improved decision-making across the organization. Our work directly supports enterprise initiatives by ensuring reliable, high-quality data assets that downstream teams depend on. The Senior Data Analyst is responsible for designing, building, and maintaining scalable data solutions that support analytics, reporting, and operational use cases. This includes designing and building curated datasets that power downstream reporting and analytics, ensuring data integrity, consistency, and usability across stakeholder needs. This role requires strong hands on experience with Databricks, including file automation, dataset development, pipeline creation, and CI/CD processes. The ideal candidate will work closely with data engineers, analysts, and business partners to deliver reliable, well governed data assets and maintain production ready data solutions that enable insight generation and decision making. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Design, build, and maintain data pipelines and workflows using Databricks (SQL, PySpark) - Develop and manage automated file ingestion and transformation processes, including scheduled and event driven file automation - Design and build curated datasets that power downstream reporting and analytics, ensuring data integrity, consistency, and usability across stakeholder needs - Maintain and optimize production data pipelines and reporting jobs, including monitoring, troubleshooting, and ensuring reliable end to end data delivery - Implement and support CI/CD pipelines for data assets using version control and automated deployment practices - Collaborate with cross functional teams to understand data requirements and translate them into scalable technical solutions - Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency - Ensure data quality, validation, documentation, and adherence to enterprise data governance standards - Support analytics and reporting teams by enabling trusted data sources for downstream tools (e.g., Power BI) - Participate in code reviews, technical design discussions, and knowledge sharing sessions - Contribute to continuous improvement of data engineering and analytics best practices 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: - 3+ years of experience in data analytics, data engineering, or a related role - Solid hands on experience with Databricks, including Databricks SQL and PySpark - Solid SQL skills and experience working with large, structured datasets - Experience building and maintaining data pipelines, datasets, and automated workflows - Working knowledge of CI/CD practices and version control systems (e.g., Git) - Proven ability to independently analyze problems, design solutions, and deliver results - Proven solid communication skills and ability to collaborate with both technical and non technical stakeholders Preferred Qualifications: - Experience working in cloud based data platforms and enterprise data lake or lakehouse architectures - Experience supporting analytics or BI tools (e.g., Power BI) - Experience with file based data ingestion (e.g., CSV, JSON, Parquet) and automation frameworks - Experience in an enterprise or financial services environment - Exposure to Agile or DevOps delivery models - Familiarity with data governance concepts such as metadata, lineage, and access controls *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 $72,800 - $130,000 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. Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

• Develop reporting tools, dashboards, and analytical models to track AWP program data, construction progress, resource planning, procurement status, schedule alignment, and work package readiness • Support the rollout of Advanced Work Packaging processes across multiple active project campuses • Collect, organize, validate, and analyze project data from internal and external stakeholders • Integrate data from planning, schedule, procurement, resource, construction, and project controls systems to support program analytics • Develop indicators that show current project status, forecasted performance, trends, adoption progress, and potential areas of risk • Support AWP leadership, project controls teams, and construction leadership with reporting that improves visibility into program performance • Build tools that allow users to extract, analyze, and report project information more efficiently • Support business processes used to collect required data from multiple project teams and site stakeholders • Create visuals, dashboards, and presentation materials for leadership, project teams, and client facing reporting • Assist with data cleanup, reporting standardization, documentation, and administrative data management tasks • Help identify gaps in reporting workflows and recommend practical improvements

Role Description We're looking for a Data Analyst to partner closely with our Customer Success and GTM teams and turn data into decisions. You'll own the metrics that matter — acquisition, activation, retention, product usage, expansion, and revenue — and uncover the drivers behind them. You'll build the analyses that shape strategy, identify what influences customer success and growth, and help answer the critical questions: what's working, what isn't, and why. This is a high-ownership, hands-on role for someone who loves digging into data, writes their own code, and ships analysis that changes what the business does next. What You'll Do - Own GTM analytics end-to-end: define, instrument, and report on the funnel — from signup and activation through conversion, expansion, and churn. - Proactively monitor key business metrics, investigate trends and anomalies, and surface actionable insights to stakeholders. - Partner with other teams like Sales, Marketing and Product to scope questions, run analyses, and translate findings into clear recommendations. - Dig into product usage and revenue data to surface insights on user behavior, cohorts, and monetization. - Write production-quality SQL and Python to model data, automate pipelines, and run analyses at scale. - Design and evaluate experiments (A/B tests) and measure the impact of GTM initiatives. - Define metrics and a shared source of truth; bring rigor and clarity to how we measure success. Qualifications - 5+ years of experience as a Data Analyst (or equivalent). - 2+ years working in a SaaS company. - Hands-on experience as a CS / Sales / Marketing / Business / Product analyst — you understand funnels, cohorts, conversion, retention, and the metrics that drive a SaaS business. - Strong hands-on experience using Python for data analysis, experimentation, and data modeling in a production environment. - Strong SQL and comfort working with large, messy datasets. - Strong communication: you can turn analysis into a clear, compelling story for non-technical stakeholders. - Statistical foundation for experimentation and causal inference. - BSc in Statistics/Math/CS or equivalent. - Familiarity with modern data tooling (Snowflake/BigQuery, dbt, Airflow, BI tools like Omni/Looker/Tableau). - Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders. Requirements - A track record of building your own projects - a GitHub profile, portfolio, side projects, or other evidence that you build things independently. - Experience at an API-first, developer-focused, or PLG (product-led growth) company. - Experience with product analytics platforms (PostHog, Amplitude, Mixpanel). - Exposure to ML or working alongside data science teams. - MSc in Statistic/Math/CS or equivalent. Benefits - Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. - 401(k) plan: Up to 4% company match with immediate vesting. - Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. - Remote work reimbursement: Up to $85/month for mobile and internet. - Disability & life insurance: Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range: $109,500 — $136,800 USD

• Own the monitoring of key funnel metrics through reports and dashboards - tracking channel performance, diagnosing deviations, and driving to root cause with minimal guidance • Independently take a defined business problem, analyze it with SQL and Python, quantify drop-off drivers, and deliver a recommendation that accounts for business tradeoffs • Build, update, and maintain dbt data models in Snowflake to enhance and streamline marketing reporting, writing reusable, standards-compliant code • Build and maintain Periscope dashboards, adding charts and metrics that improve visibility across the marketing funnel • Communicate concise, action-oriented recommendations to senior management, tailoring the narrative and visualizations to the audience • Partner with Marketing, Risk, and Engineering to coordinate strategy changes, monitor releases, and conduct post-release impact analysis • Use AI tools to accelerate analysis and development, while critically verifying their output - catching errors, validating logic, and take ownership of correctness • Support the growth of the team through knowledge sharing, code review, and mentoring of junior analysts