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indeed

Senior Data Analyst

Hippo Insurance
Dallas, USA
Senior
Onsite
Discovered 2 days ago
Business analyticsGrowth analyticsMarketing analyticsSQLMicrosoft ExcelData visualization

Full Job Posting

Role overview

The Senior Data Analyst supports Hippo's Business Enablement and Insights function, primarily for Sales, Marketing, and growth analytics.

The role supports product launches, market expansion, and growth initiatives by analyzing performance across the customer funnel.

The analyst works with Sales, Marketing, Product, Finance, Data Science, and Data Engineering.

About Hippo

Hippo uses technology and data to help customers protect their homes and operates a diversified carrier platform partnering with MGAs.

Work arrangement

  • The role is listed as hybrid in Austin, Texas, or Dallas, Texas.

Responsibilities

  • Build customer-funnel views and analyze drop-off, channel performance, conversion, lead quality, and premium.
  • Support segmentation, experiments, forecasting, annual planning, market expansion, and post-launch performance monitoring.
  • Improve attribution, tracking, data quality, and system integration; scale recurring analysis into datasets, dashboards, and monitoring.
  • Communicate executive-ready findings and recommendations and provide support across Sales and Marketing.

Candidate profile

  • The candidate has experience supporting growth, marketing, sales, product, or other customer-facing analytics.
  • The candidate can analyze full-funnel performance, explain drivers of change, and recommend business actions.
  • The candidate can work with imperfect data, identify measurement gaps, communicate complex analysis, and collaborate across teams.

Must-have qualifications

  • 3–5 years of experience in business analytics, growth analytics, marketing analytics, strategy, or a related field.
  • Strong SQL, Excel, and data visualization skills.
  • Experience analyzing customer or marketing funnels and conversion performance.

Preferred qualification

  • Tableau experience is preferred.

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