Senior Data Analyst

Title:

Senior Data Analyst

Location:

Austin, TX (hybrid) or Dallas, TX (Hybrid)

Reports To:

Senior Manager, Insurance Analytics

About Hippo:

Hippo was built on a promise: make homeownership effortless. Nearly a decade later, that mission still drives us. We use technology and data to help our customers stay ahead of problems and protect what matters most.

Today, that same tech-native approach powers our work beyond homeowners. Hippo operates as a diversified carrier platform, partnering with MGAs to deliver tailored program solutions that help them grow and deliver better customer experiences. Behind that work is a team that values ownership, curiosity, collaboration, and continuous improvement.

If you're energized by building what's next, we'd love to meet you.

About You:

The Senior Data Analyst will play a key role in supporting Hippo’s Business Enablement & Insights function, with a primary focus on Sales, Marketing, and growth analytics.

This role will support new product launches, market expansion, and ongoing growth initiatives by building a clear view of performance across the full customer funnel, from marketing spend and leads through quotes, binds, premium, and ongoing customer performance. The analyst will work closely with Sales, Marketing, Product, Finance, Data Science, and Data Engineering to understand what is driving performance, identify issues and opportunities, and provide the analysis needed to make informed business decisions.

This role goes beyond reporting. The analyst will be expected to connect data across multiple sources, diagnose performance changes, support forecasting and experimentation, and translate findings into clear recommendations for the business.

As part of a centralized analytics team, this individual will also help improve the underlying data, metrics, and analytical processes needed to support growth initiatives and the broader Sales & Marketing organization.

• You have a bias for action and enjoy taking analytical questions from problem definition through recommendation
• You have experience supporting growth, marketing, sales, product, or other customer-facing analytics
• You are comfortable working across the full funnel and understanding how marketing activity translates into customers and business results
• You go beyond reporting metrics and focus on understanding why performance changed and what the business should do about it
• You are comfortable working with imperfect or evolving data and can help identify and resolve data quality and measurement gaps
• You are curious, detail-oriented, and proactive in identifying trends, risks, and opportunities
• You can take complex analysis and communicate it clearly to both technical and non-technical stakeholders
• You thrive in a cross-functional environment and are comfortable working with evolving priorities

What You’ll Do:

• Build and maintain reliable views of the customer funnel across marketing spend, leads, quotes, applications, binds, premium, and conversion
• Analyze funnel performance to identify where customers are dropping out and determine whether changes are driven by lead quality, channel mix, pricing, sales activity, customer experience, or other factors
• Analyze marketing channel performance across metrics such as CPL, CAC, CPB, conversion, lead quality, and premium to help inform investment decisions
• Support customer and market segmentation by analyzing customer, home, geographic, channel, and conversion characteristics
• Partner with Marketing and Data Science on experimentation, including defining hypotheses, success metrics, guardrails, sample-size requirements, and post-test analysis
• Support forecasting and AOP planning through scenario modeling across marketing spend, conversion, CAC, premium, capacity, and market expansion assumptions
• Develop state- and market-level performance analysis to support launch sequencing and measure performance as new products or initiatives expand
• Monitor performance after launch and proactively identify emerging trends, risks, and opportunities
• Partner with Data Engineering and other teams to improve attribution, tracking, data quality, and integration across systems such as Salesforce, marketing platforms, product analytics, and policy data
• Help transition recurring manual analyses into scalable datasets, dashboards, and monitoring processes
• Develop executive-ready insights and recommendations that clearly explain what happened, why it happened, and what action should be taken
• Provide analytical support across the broader Sales & Marketing portfolio as priorities evolve
• Must Haves: 3–5 years of experience in business analytics, growth analytics, marketing analytics, strategy, or a related field
• Strong SQL, Excel, and data visualization skills; Tableau experience preferred
• Experience analyzing customer or marketing funnels, conversion performance, customer acquisition, or related growth metrics
• Experience working with multiple data sources and identifying data quality, attribution, or measurement issues
• Strong analytical problem-solving skills with the ability to move from a performance trend to root-cause analysis and recommendation
• Experience with forecasting, scenario modeling, or business planning
• Ability to translate complex analysis into clear and actionable insights for senior stakeholders
• Strong communication and cross-functional partnership skills
• A proactive mindset and willingness to take ownership of ambiguous analytical problems
• Comfortable operating in a fast-paced environment with evolving priorities
• Nice to Have: Experience in insurance, insurtech, financial services, or another highly regulated industry
• Experience with marketing attribution, digital marketing analytics, or experimentation
• Familiarity with customer segmentation, LTV, retention, or predictive modeling concepts
• Experience supporting a new product launch or geographic expansion