Leverage data to answer business questions by identifying data needs, extracting data from relevant sources, and performing detailed analysis
Use technical expertise (e.g., SQL, Python, PySpark) and analytical tools to explore operational data, identify trends, drivers, and outliers, and explain performance outcomes
Support testing and monitoring efforts by defining metrics, tracking performance indicators, and identifying emerging issues
Design, build, and maintain standardized reports and dashboards that support C&CE operational reviews and decision-making
Enable self-service analytics by creating clear, well-structured reporting solutions using business intelligence tools including novel AI technologies
Continuously enhance existing reports to improve clarity, usability, performance, and insight generation
Ensure data accuracy, consistency, and reliability through validation, reconciliation, and quality checks
Develop and maintain documentation for datasets, metrics, and reporting logic to support transparency and reuse
Respond to ad hoc analytical requests while identifying opportunities to standardize or automate recurring analyses
Support ongoing operational performance management through KPI tracking and recurring analytics deliverables
Partner closely with cross functional stakeholder groups to align analytics outputs with business needs
Communicate insights clearly through written summaries, visuals, and verbal explanations tailored to operational audiences

Bachelor’s degree in analytics, statistics, mathematics, economics, computer science, business, or a related field preferred
Two years of relevant experience in data analytics, reporting, or business intelligence roles
Advanced proficiency in SQL and Python
including complex joins, subqueries, and performance optimization
Experience with business intelligence and data visualization tools (e.g., Tableau, Power BI)
Strong analytical and problem-solving skills with the ability to explain complex data clearly
Excellent written and verbal communication skills
Experience in Prior Authorization, Utilization Management, customer service, or client service analytics (preferred)
Proficiency in scripting or analytical language such as PySpark (preferred)
Experience working with large or enterprise scale data platforms (e.g., Teradata, Oracle, SQL Server, Databricks) (preferred)
Familiarity with Agile delivery models and work management tools (e.g., Jira) (preferred)
Healthcare, insurance, or PBM industry experience (preferred)

Data Analytics Advisor, C&CE

Key skills