Sr. Data Analyst

Role overview Own analytical projects that help improve revenue, profitability, and operational performance in an insurance business. You will work across media, operations, product, data engineering, and client teams to turn complex performance data into clear recommendations, then track whether those actions deliver results.

Responsibilities - Analyze lead and call funnels, campaign results, client conversion, revenue, and costs to find opportunities for growth or greater efficiency. - Investigate changes in performance, separate meaningful drivers from normal variation, and estimate the business impact of potential actions. - Build and maintain SQL queries and dashboards that give business teams and leaders reliable, actionable reporting. - Partner with stakeholders to define KPIs, translate questions into analytical work, and prioritize by expected impact. - Work with data engineering to resolve discrepancies, validate reporting logic, and document metric definitions and assumptions. - Automate recurring reports and monitoring with SQL, Python, and suitable AI tools, validating results before use; present findings and support other analysts through reviews and knowledge sharing.

Requirements - Five or more years in data analytics, business intelligence, or a related field, with ownership of complex analytical projects. - Strong SQL skills, including filtering, aggregation, and joins; strong Excel ability. - Experience building dashboards with Looker, Tableau, Power BI, or a comparable platform. - Ability to analyze funnels, segments, trends, and experiments and connect results to business outcomes. - Clear communication and stakeholder skills, sound judgment, attention to data accuracy, and ability to manage priorities independently. - Bachelor’s degree in a quantitative or related field, or equivalent practical experience.

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

Benefits and work setup The role is listed as remote. Compensation includes salary and quarterly bonus opportunities. Benefits include unlimited paid time off, medical, dental, and vision coverage, parental leave, a 401(k) match that vests immediately, paid volunteer days, and career development opportunities.