Lead Data Analyst - Azure Databricks and Healthcare Domain

As a Lead Data Analyst at Optum, you will play a crucial role in driving insights, decision support, and analytical outcomes across Claims Payment Integrity, Actuarial analytics, and Forecasting. Your responsibilities will include: - Leading end-to-end analytical initiatives, from business problem definition through insight generation and executive-ready outputs - Designing and delivering analytical datasets, KPIs, metrics, and dashboards using Databricks SQL and PySpark - Translating complex healthcare, claims, and financial data into clear, actionable insights and recommendations for senior leadership - Supporting medical cost trend analysis, risk identification, savings validation, leakage analysis, and forecasting accuracy improvements You will also be responsible for performing advanced analysis on large-scale healthcare data, partnering with various stakeholders to shape insight-driven solutions, and validating business rules and assumptions. Additionally, you will contribute to the development and optimization of analytical data pipelines in Databricks using PySpark and SQL, collaborating with data engineering teams to improve data availability, quality, and performance for analytics use cases. Qualifications Required: - 10+ years of experience in data analytics, business intelligence, or advanced healthcare analytics, with hands-on data engineering exposure - Expertise in Databricks, Advanced SQL, and PySpark - Experience with Claims and Payment Integrity data, Actuarial and forecasting datasets - Solid understanding of Azure and GCP analytics services - Excellent communication skills and the ability to present insights to senior and executive audiences Preferred Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or related field - Experience supporting Payment Integrity savings estimation and validation, Actuarial modeling, or medical cost forecasting - Familiarity with analytics and orchestration tooling such as Airflow, dbt, and BI platforms - Certifications in Databricks, Snowflake, Azure, or GCP - Experience with healthcare payers, provider systems, or healthcare analytics organizations At UnitedHealth Group, the parent company of Optum, the mission is to help people live healthier lives and make the health system work better for everyone, regardless of race, gender, sexuality, age, location, or income. The company is committed to mitigating its impact on the environment and delivering equitable care to address health disparities and improve health outcomes. As a Lead Data Analyst at Optum, you will play a crucial role in driving insights, decision support, and analytical outcomes across Claims Payment Integrity, Actuarial analytics, and Forecasting. Your responsibilities will include: - Leading end-to-end analytical initiatives, from business problem definition through insight generation and executive-ready outputs - Designing and delivering analytical datasets, KPIs, metrics, and dashboards using Databricks SQL and PySpark - Translating complex healthcare, claims, and financial data into clear, actionable insights and recommendations for senior leadership - Supporting medical cost trend analysis, risk identification, savings validation, leakage analysis, and forecasting accuracy improvements You will also be responsible for performing advanced analysis on large-scale healthcare data, partnering with various stakeholders to shape insight-driven solutions, and validating business rules and assumptions. Additionally, you will contribute to the development and optimization of analytical data pipelines in Databricks using PySpark and SQL, collaborating with data engineering teams to improve data availability, quality, and performance for analytics use cases. Qualifications Required: - 10+ years of experience in data analytics, business intelligence, or advanced healthcare analytics, with hands-on data engineering exposure - Expertise in Databricks, Advanced SQL, and PySpark - Experience with Claims and Payment Integrity data, Actuarial and forecasting datasets - Solid understanding of Azure and GCP analytics services - Excellent communication skills and the ability to present insights to senior and executive audiences Preferred Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or related field - Experience supporting Payment Integrity savings estimation and validation, Actuarial modeling, or medical cost forecasting - Familiarity with analytics and orchestration tooling such as Airflow, dbt, and BI platforms - Certifications in Databricks, Snowflake, Azure, or GCP - Experience with healthcare payers, provider systems, or healthcare analytics organizations At UnitedHealth Group, the parent company of Optum, the mission is to help people live healthier lives and make the health system work better for everyone, regardless of race, gender, sexuality, age, location, or income. The company is committed to mi