Sr. Data Analyst

Centerfield

3d•$95,000 - $115,000•Remote

About The Position

Centerfield is seeking a Senior Data Analyst to improve revenue, profitability, and operational performance across its insurance business. The analyst will own analytical projects from defining business questions through delivering recommendations and measuring results. Working with Media, Operations, Product, Data Engineering, and client teams, this role turns complex data into clear insights that guide business decisions. The position analyzes lead and call funnels, campaign performance, client conversion, revenue, and costs; builds and maintains SQL queries and Looker dashboards; and partners with stakeholders to establish KPIs and analytical requirements. It also supports reliable reporting by validating logic, resolving data discrepancies, documenting definitions and assumptions, and automating recurring analysis and monitoring. The analyst presents findings, follows through with business owners, and supports other analysts through reviews and knowledge sharing.

Requirements

At least 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, and 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, including the ability to explain technical findings to nontechnical audiences.
Sound judgment, attention to data accuracy, and ability to manage competing priorities independently.
Bachelor's degree in a quantitative or related field, or equivalent practical experience.

Nice To Haves

Experience in insurance, performance marketing, lead generation, marketplace analytics, or contact center operations.
Experience with BigQuery, LookML, and Python for analysis and reporting automation.

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 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, validating outputs.
Present concise findings and recommendations, follow through with business owners, and support other analysts through reviews and knowledge sharing.