• Collaborate with cross-functional teams to gather and understand data and business requirements • Transform and clean data using Python (SQL is a plus) • Perform exploratory data analysis to identify trends, patterns, and anomalies • Assist in developing and implementing data models and algorithms • Analyze and interpret complex datasets to surface key metrics and statistical insights reports to communicate findings effectively

• Monitor, analyze and interpret the main KPIs for CX areas (NPS, student experience) and CSC (Finance, Facilities, HR, Service Management, etc.). • Produce periodic analyses and reports to support decision-making by internal stakeholders. • Identify variations, trends and improvement opportunities based on available data. • Contribute to data storytelling, facilitating the interpretation and understanding of results for different audience profiles. • Build new dashboards and reports in Power BI based on requests from the area or stakeholders. • Perform corrective and evolutionary maintenance of existing dashboards, ensuring accuracy, performance and timely updates. • Contribute to the understanding and documentation of new dashboard and KPI requirements to be forwarded to the external Data team. • Participate in the discovery process for new solutions and scopes. • Identify automation opportunities for manual or repetitive processes within the area. • Support the structuring and standardization of analytical processes and dashboard development.

Requisition Number: 2359307 At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together The Principal Data Analyst is an individual contributor responsible for developing complex reporting across multiple systems and leading change for new reporting capabilities. This role collaborates with many cross-functional reporting, IT, and other teams, to build out new reporting capabilities and troubleshoot / solution barriers. This role works with a wide range of data sources (medical and pharmacy claims, enrollment, clinical program, population health and authorization data) to deliver reporting on program performance, clinical, claims and other trends. 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. Primary Responsibilities: - Identify opportunities for reporting efficiencies, lead and manage new solution implementations - Analyze large datasets to identify trends, patterns, and potential gaps - Retrieve data from multiple sources using SQL and other tools to combine into clear, insightful reporting for both technical and non-technical audiences - Manage clinical and other data resources for team; including set up, documentation, and resolving access or data barriers - Ensure reporting accuracy, consistency in both data and visualization - Manage multiple projects simultaneously and on time, while communicating barriers to stakeholders - Communicate findings effectively - Collaborate with cross-functional teams: IT, medical directors, clinical teams, cross-functional reporting teams, account management, others 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: - 7+ years of experience writing queries with SQL (or Python, R) at advanced level - 5+ years querying data from different sources and building processes to aggregate into a concise report - 3+ years building reports with clinical and/or diagnostic data - 3+ years of experience collaborating with internal stakeholders to identify reporting opportunities and develop solutions - Experience working with multidisciplinary teams, including business and technology partners - Demonstrated knowledge of data architecture, ETL (Extract, Transform, Load), data warehouse design, and large-scale data processing - Proficient in data analysis, including data manipulation, statistical analysis, and data visualization Preferred Qualifications: - Master's degree in Data Science, Data Analytics, Statistics, Computer Science, Engineering or related quantitative field - 3+ years querying reports in Snowflake - 1+ year UMR experience - Experience working with CPT/ICD10 coding and aligning into similar groups - Proven knowledge of data visualization tools (Power BI, or similar) *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 $112,700 - $193,200 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. UnitedHealth Group 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. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Role Description We are seeking a motivated and detail-oriented Data Analyst to join our growing team. This role is ideal for candidates with at least 2 years of experience who are eager to build a career in data and e-commerce. As a Data Analyst, you will work with real-world datasets to uncover trends, support client reporting, and contribute to meaningful insights in one of the fastest-growing sectors in Southeast Asia. - Collaborate with cross-functional teams to gather and understand data and business requirements - Transform and clean data using Python (SQL is a plus) - Perform exploratory data analysis to identify trends, patterns, and anomalies - Assist in developing and implementing data models and algorithms - Analyze and interpret complex datasets to surface key metrics and statistical insights - Communicate findings effectively Qualifications - Strong analytical and problem-solving skills with a basic understanding of statistics and data interpretation - Proficiency in Python, Google Sheets, and Excel is essential; SQL knowledge is a plus - Experience with data warehouse platforms such as Snowflake, Amazon Athena, or Google BigQuery is a plus - Enthusiastic self-starter with a strong desire to learn and grow in the data field - Comfortable working in a fast-paced environment and adapting quickly to change - Passionate about e-commerce, with strong communication and collaboration skills - A Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics, etc.) is preferred but not required