• Support the design and monitoring of Card underwriting strategies, credit line increase programs, and portfolio performance metrics. • Analyze performance of underwriting strategies and identify opportunities to improve accuracy and reduce losses. • Execute and monitor recurring credit strategy programs such as credit line increases, acquisition campaigns, and prescreen processing. • Support champion/challenger tests and experiment design for various lifecycle credit strategies. • Assist in designing exposure limits, eligibility rules, and acquisition criteria. • Query, clean, and analyze large datasets using SQL and Python. • Design data assets and dashboards to track customer behavior and credit performance. • Build automations of routine data and reporting processes. • Perform EDA, feature engineering, advanced segmentation, and data quality checks to gain insights and improve predictive attributes. • Evaluate alternative data sources (such as open-banking data) and help design business processes to incorporate into decisioning flows. • Assist in managing and tracking credit risk model performance. • Partner with Product/Engineering to implement updates to policies and decisioning logic. • Translate analytical findings into clear recommendations for credit policies. • Create robust documentation of credit strategies and decisioning workflows. • Support the coordination of various initiatives with credit bureaus. • Package insights into crisp narratives and presentations for stakeholders.

• Deliver live, remote lessons and mentor students, answering questions and providing feedback on assignments and projects. • Load, transform, and prepare datasets using Python. • Perform Exploratory Data Analysis (EDA) and feature engineering. • Implement unsupervised clustering models on datasets. • Implement unsupervised association models on datasets. • Implement supervised linear regression models on datasets. • Implement supervised logistic regression models on datasets. • Implement supervised decision tree-based classification models on datasets. • Implement supervised neural network-based classification models on datasets.

Requisition Number: 2343033 Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together. 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: - The data analyst will execute data pipelines, analyze transformed data to validate its completeness and gather insight to impact business decisions Additionally, the data analysis will handle ad hoc analysis request-related data surrounding medical Record retrieval to assist in determining the location of medical charts - Collect, clean, and preprocess data from various sources to ensure accuracy and consistency - Identify and address data quality issues, outliers, and missing values - Perform exploration data analysis to uncover trends, patterns, and relationships within datasets - Oversee ingestion pipelines and troubleshoots errors related to data. Resolve errors using approved data cleaning techniques - Translate complex data analysis into clear and actionable insights for stakeholders - Collaborate with cross-functional teams to identify opportunities for process optimization and strategic decision-making - Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency, and other critical business performance metrics - Develops and maintains strong relationships with all internal and external stakeholders - Document analysis methodologies, assumptions, and findings for future reference and replication - Requires an individual to maintain the ability to work in an environment with PHI / PII data 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: - BA/BS degree and years of equivalent working experience - 2+ years of experience in data analytics - 2+ years of experience writing intermediate to advanced SQL (joining many tables, SQL functions, CTE's) - Experience working with Python (Ability to read and understand Python scripts and ability to adjust scripts) - Knowledge of Data Analysis and Data Quality best practices - Excellent Verbal and written communication skills, including ability to effectively communicate with internal and external customers - Proficient in Excel (v-look ups, pivot tables) Preferred Qualifications: - Degree in Business Analytics or Data science - Experience working with cloud-based data engineering and analytics (e.g., AWS, Azure, Azure Data Factory, Databricks, Snowflake) - Experience working with data warehouse analysis and modelling, with the ability to read Data Flow Diagrams, Conceptual and Physical Models - Knowledge of Healthcare data including member, claims, and provider data - Knowledge of industry standards and practices related to Medical Record Retrieval - Understanding of Data Pipelines, database structures and ETL practice - Work experience with data visualization tools such as Tableau, Power BI *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 to $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. 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.

• Collaborate with product, engineering, and marketing teams to define and monitor critical KPIs • Build and maintain dynamic dashboards and detailed reports to monitor and analyze performance across key product areas • Design, execute, and evaluate product experiments • Translate complex analytical insights into actionable strategies and recommendations for key stakeholders • Identify, diagnose, and resolve data quality issues to ensure accuracy and reliability of analytics processes • Develop predictive models to anticipate user behavior and proactively identify areas for product improvement