Data Analyst

We are seeking a Senior Data Analyst to help improve revenue, profitability, and operational performance across our insurance business. You will own analytical projects from defining the business question through delivering recommendations and measuring results. Working with Media, Operations, Product, Data Engineering, and client teams, you will turn complex data into clear insights that guide business decisions. Core 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.

• 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.

Own analytical projects supporting revenue, profitability, and operational performance for the insurance business. Analyze funnels, campaigns, conversions, costs, and trends; build SQL queries and Looker dashboards; automate reporting with Python; define KPIs; validate data; and present actionable recommendations to stakeholders and leadership. The summary above was generated by AI, * Competitive salary + generous quarterly bonus

• Unlimited PTO - take a break when you need it!

• Industry-leading medical, dental, and vision plans + generous parental leave 401(k) company match plan - fully vested day 1

• Award-winning culture & unprecedented team spirit (featured in LA Business Journal & Built In LA)
• Paid charity and volunteer days (local mentor programs, adopt a pet, beach cleanup, etc.)
• Career growth - we enjoy promoting from within!, Remote or Hybrid United States Mid level Mid level AdTech * Consumer Web * Digital Media * eCommerce * Marketing Tech * SEO Own and grow a portfolio of approximately 100-125 insurance-agent accounts. Drive revenue through upselling, cross-selling, campaign creation, pricing, targeting, and performance optimization. Lead client discussions around conversion rates, cost per call, cost per policy, and ROI while partnering with media and operations to improve call quality and volume. Maintain retention by delivering measurable value and profitable customer acquisition outcomes. Top Skills: ExcelSalesforce

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