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State Farm · 17 hours ago

Sr. Data Analyst

Atlanta, GA

Full-time

Hybrid

Senior Level, Lead/Staff

$107K/yr - $142K/yr

10+ years exp

State Farm is committed to helping people and investing in communities. They are seeking an experienced Data Analyst to join their Digital Experience technology team, focusing on Product and Business Analytics to drive strategic decision-making and operational excellence.

Insurance

No H1B

Responsibilities

Designing, developing, and maintaining advanced dashboards and performance measurement tools using Power BI to monitor strategic input drivers and key business metrics

Applying data modeling and scenario planning techniques to forecast trends, evaluate growth opportunities, and support data-driven decision-making

Conducting deep-dive analyses to identify productivity improvements and resolve complex data integrity issues, enhancing data quality and operational controls

Partnering with stakeholders across business units to understand their goals, translate them into analytical frameworks, and communicate insights clearly through written reports and presentations

Driving continuous process improvements by innovating with large-scale data mining tools and applying a critical, curious mindset to understand product, process, and performance dynamics

Qualification

Power BIData analysisSQLAdvanced ExcelData visualizationAnalytical thinkingCommunication skillsCollaborationCustomer experience focusGrowth mindset

Required

Bachelors in related field and 10 plus years of experience

Proven expertise in Power BI and dashboard development to visualize complex data effectively and inform strategic decisions

Advanced Excel skills and experience with other data analysis tools

Customer experience-focused mindset

Strong analytical and critical thinking skills with proven experience using data and metrics to test theories, confirm assumptions, generate executive-level insights/recommendations, and measure success

Experience collaborating cross-functionally with product/IT, data, finance and operational teams to deliver measurable business impact

Self-starter with strong initiative, excellent communication skills (written, verbal, presentation), and a growth mindset

Comfortable working autonomously in a fast-paced, evolving AI-strategy environment

Preferred

Experience with advanced data visualization and business intelligence tools, particularly Power BI, to monitor product performance and user engagement metrics

Familiarity with querying and analyzing large datasets using SQL, Python, or similar tools to support AI product evaluation and testing

Knowledge of A/B testing methodologies, experimentation frameworks, and techniques to measure and optimize AI-driven product outcomes

Understanding of AI/ML concepts and how to apply statistical methods to interpret results and generate actionable insights

Experience working with cloud-based analytics platforms (e.g., AWS Athena, Redshift, QuickSight) or data pipeline tools (e.g., Glue, Terraform) is a plus

Ability to collaborate with product managers, data scientists, and engineers to translate business questions into analytical approaches and communicate findings effectively across technical and non-technical stakeholders