Sr. Data Analyst

Centerfield is seeking a Senior Data Analyst to improve revenue, profitability, and operational performance across its insurance business. The role owns analytical projects end to end, turning complex data into insights and recommendations in partnership with Media, Operations, Product, Data Engineering, and client teams.

Responsibilities:

• Analyze lead and call funnels, campaign performance, client conversion, revenue, and costs to identify growth and efficiency opportunities
• Investigate performance changes, distinguish underlying drivers from normal variation, and recommend actions with clear estimates of business impact
• Build and maintain SQL queries and Looker dashboards that provide reliable, actionable reporting for business teams and leadership
• Partner with stakeholders to define KPIs, translate business needs into analytical requirements, and prioritize work based on impact
• Work with Data Engineering to resolve data discrepancies, validate reporting logic, and document metric definitions and assumptions
• Automate recurring reporting and performance monitoring using SQL, Python, and appropriate AI tools, with validation of outputs
• Present concise findings and recommendations, follow through with business owners, and support other analysts through reviews and knowledge sharing

Requirements:

• 5+ years of experience in data analytics, business intelligence, or a related role, with demonstrated ownership of complex analytical projects
• Strong SQL skills, including querying, filtering, aggregating, and joining data
• Experience building dashboards in Looker, Tableau, Power BI, or a similar platform; strong Excel skills
• Ability to analyze funnels, segmentation, trends, and experiments, and connect findings to revenue, profitability, or operational outcomes
• Strong communication and stakeholder management skills; ability to explain technical findings to nontechnical audiences
• Sound judgment, attention to data accuracy, and the ability to manage competing priorities independently
• Bachelor's degree in a quantitative or related field, or equivalent practical experience
• Experience in insurance, performance marketing, lead generation, marketplace analytics, or contact center operations
• Experience with BigQuery, LookML, and Python for analysis and reporting automation