Data Analyst

Responsibilities

• Act as a senior analytical advisor supporting Long Term Care Claims, Customer Service, and Workforce Management functions
• Design, develop, and maintain scalable Power BI dashboards, reports, and datasets aligned with enterprise standards
• Apply best practices in data modeling, DAX, performance optimization, and security within Power BI environments
• Lead the development of complex SQL queries to extract and analyze large datasets for insights and forecasting
• Translate ambiguous business questions into well-defined analytical approaches, metrics, and success criteria
• Provide diagnostic and predictive insights, including trend analysis, scenario modeling, and capacity planning
• Validate, reconcile, and ensure the quality and accuracy of data from multiple sources
• Identify and address data quality issues, anomalies, and process gaps proactively
• Partner with data engineering and governance teams to resolve data issues and improve data quality standards
• Mentor junior analysts, promote data literacy, and foster a culture of continuous improvement
• Collaborate with cross-functional stakeholders to align analytics initiatives with business priorities
• Support enterprise data strategy by integrating new data sources and evolving reporting solutions
• Present insights and strategic recommendations to senior leadership with clarity and confidence

Qualifications

• Bachelor's degree in Analytics, Data Science, Economics, Mathematics, Computer Science, or related field
• 6+ years of progressive experience in data analytics or related roles
• Expert-level proficiency in SQL (Oracle, Microsoft SQL Server, or equivalent)
• Advanced skills in Power BI, including data modeling, DAX, and dashboard storytelling
• Strong experience working with large, structured datasets using SQL, Excel, and Python
• Exceptional analytical and problem-solving skills with the ability to synthesize complex data into clear insights
• Proven ability to communicate findings effectively to senior and executive leadership
• Experience translating business needs into technical analytics solutions
• Ability to work independently, manage multiple priorities, and influence stakeholders
• Preferred: Experience with cloud-based data platforms such as Databricks, and familiarity with insurance or financial services industry systems
• Nice to have: Experience with TIBCO Spotfire, Business Objects, Pega, and advanced analytics using R or Python