Senior Data Analyst

CenterWell Pharmacy, a Humana company, provides pharmacy services and is building a workforce planning function. The Senior Data Analyst will transform operational data into planning inputs, partner with business leaders, build data products and tooling, and establish metrics for forecasting, capacity, and operational performance. The role may focus on data engineering and architecture or business intelligence and analytics.

Responsibilities:

• Turn messy, multi-source operational data into planning inputs the business can act on
• Partner with operations, finance, and department leaders to understand what they actually need to decide
• Build the tooling and data products that let planners and leaders answer their own questions
• Bring rigor to how we measure ourselves — forecast accuracy, capacity use, cost per prescription, and the drivers underneath them
• You would own how planning data reaches the people who use it — the pipelines that consolidate workforce, volume, and operational data across platforms, and the models our forecasting tools run on
• You would own how planning insight turns into decisions — the dashboards and self-service tools operations leaders run their business on, and the KPI definitions underneath them

Requirements:

• 5 or more years of experience in analytics, data engineering, business intelligence, or a planning and forecasting function
• Advanced SQL skills — you can write, tune, and debug complex queries against large operational datasets
• Experience turning data into something a business partner actually used to make a decision
• Experience explaining a technical result to a non-technical audience
• Bachelor's degree in a quantitative, technical, or business discipline
• You have built ETL/ELT pipelines in a cloud data environment (Azure, Snowflake, Databricks, or similar), work fluently in Python, and know dimensional modeling and data warehouse design
• You have advanced Power BI skills (or Tableau/Looker and willingness to switch), have built KPI frameworks from scratch, and can decompose a metric to root cause rather than reporting variance
• Workforce planning, workforce management, or capacity planning experience to include — forecasting, scheduling, shrinkage, or occupancy
• Prior experience in supply chain planning, demand planning, or S&OP in a distribution, fulfillment, manufacturing, or logistics environment
• Healthcare, pharmacy, or other regulated-industry experience