Senior Data Analyst

Cover Genius is a Series E insurtech that protects the global customers of the world’s largest digital companies including Booking Holdings, owner of Priceline, Kayak and , Intuit, Uber, Hopper, Ryanair, Turkish Airlines, Descartes Ship Rush, Zip and Seat Geek. We’re also available at Amazon, Flipkart, eBay, Wayfair and SE Asia’s largest company, Shopee. Our partners integrate with XCover, our award‑winning insurance distribution platform, to embed protection for millions of customers worldwide each year.

Our team and products have been recognized with dozens of awards, including by the Financial Times which ranked Cover Genius as the #1 fastest‑growing company in APAC in 2020. Our diverse team across 20+ countries and many language groups commits itself to diverse cultural programs, in particular “CG Gives” which makes social entrepreneurs out of us all and funds development initiatives in global communities.

Our People are Bold, Authentic, Purposeful and Inspired.

Our People are not Perfect, Traditional, Complacent or Cautious.

We are seeking a highly analytical, adaptable, and impact‑driven Senior Data Analyst to join our growing Product Operations team. This pivotal role will embed within our product domains and problem spaces, acting as a critical partner to Product Managers in driving growth and optimizing the end‑to‑end customer experience. You will be obsessed with leveraging data to support teams with strategic product decisions, identify growth opportunities, and ensure operational excellence s role is ideal for someone excited by continuous change, eager to tackle diverse challenges across various product initiatives, and committed to a data‑driven culture.

What will your day look like?

• Empower Product Teams to be Data Driven:
  As a strategic partner, provide cross‑product insights and connect the dots across multiple programs. As the "truth seeker," objectively analyze data and identify opportunities. Design, develop, and own insightful dashboards and reports that provide visibility into key product metrics, user engagement patterns, and feature performance, empowering product teams to be data‑led and make informed decisions.
• Support Data‑Driven Decision Making:
  Translate ambiguous business questions into well‑defined data problems and deliver actionable recommendations through clean, compelling data narratives. Collaborate closely with Product Managers to understand user needs and ensure that all decisions are informed by robust data and analysis.
• Drive Product Growth with Actionable Insights:
  Perform deep‑dive analysis to unpack insights and recommend solutions to top‑of‑mind problems the business is facing. Go beyond simple reporting of "what happened" to provide a clear understanding of "why it happened," supporting product teams in leveraging data for strategic initiatives and decision‑making, influencing product strategy and feature prioritization.
• Champion Continuous Improvement & Automation:
  Actively participate in retrospectives and contribute to a culture of learning and iteration, using data to identify areas for process and product improvement. Drive automation and productisation of analytical solutions, transforming client questions into scalable analytical solutions. Proactively identify data quality issues or opportunities for improvement in analytics tooling and reporting.
• Collaborate Cross‑Functionally:
  Work closely with diverse teams, including product, marketing, data engineering, and other relevant teams, to align efforts toward growth initiatives and ensure shared understanding of product performance.
• Stakeholder Communication:
  Communicate findings to stakeholders at various levels, adjusting content and complexity to suit the audience, and translating complex analyses into clear, actionable takeaways tailored for both technical and non‑technical audiences.
• Ensure Accountability:
  Ensure accountability for analytics quality and successful delivery of key projects with measurable client outcomes. Support quarterly and annual planning efforts with data inputs, forecasting trends, and key performance analytics.

What you…