Data Analyst

As a Data Analyst on our Strategic Outcomes and Data Analytics team, you’ll be immersed in a collaborative, fast-paced, and dynamic environment where your ability to stay thoughtful, focused, balanced, and efficient is essential to success. You’ll tackle projects that span a wide range of sizes, scopes, complexities, and stakeholder needs—requiring you to adapt quickly and think strategically. By leveraging your advanced analytics and SQL expertise, you’ll transform data into actionable insights that fuel business growth and elevate the experience for our existing customers. Here, you’ll have the opportunity to continuously expand your skills, collaborate with cross-functional teams, and advance your career within a matrixed organization—applying your technical strengths to solve complex business challenges and deliver meaningful impact.

In this role, you will:

• Extract data and perform comprehensive analysis using foundational and advanced analytic techniques
• Design, develop, and deliver impactful data visualizations to effectively communicate insights to diverse audiences, including cross-functional teams and leadership
• Partner with stakeholders to translate business requirements into innovative technical solutions and actionable data strategies; act as the primary contact for code development and execution
• Implement a results-driven, analytical approach to problem-solving —deconstructing complex objectives into clear, actionable steps
• Facilitate the configuration and deployment of advanced analytics software (machine learning, artificial intelligence) to address real-world business challenges
• Document methodologies, findings, and recommendations in clear, concise reports and presentations

• Bachelor’s degree in Information Systems, Statistics, Data Science, or related fields
• Minimum of 3 years’ experience in business or data analysis roles; experience in product management or business strategy preferred
• Advanced proficiency in Microsoft Excel (data modeling, complex transformations, pivot tables, advanced charting)
• Demonstrated experience with SQL, Python, and/or R for data extraction, manipulation, analysis, and automation
• Proven ability to develop data visualizations and dashboards (PowerBI and Qlik experience preferred)
• Strong communication and data presentation skills, with the ability to convey technical concepts and drive a narrative with data to diverse audiences
• Experience applying data science techniques (predictive modeling, machine learning) and deploying advanced analytics solutions (including artificial intelligence); background in claims, risk management, insurance, or related industries preferred