
Senior Data Analyst
7 days ago
Senior Data Analyst (Product Operations) at Cover Genius. Join to apply for the Senior Data Analyst (Product Operations) role at Cover Genius.
The CompanyCover Genius is a Series E insurtech that protects the global customers of the world's largest digital companies. Our partners integrate with XCover, our award-winning insurance distribution platform, to embed protection for millions of customers worldwide each year. Our team across 20+ countries is committed to diverse cultural programs, including the CG Gives initiative.
About The RoleWe are seeking a highly analytical, adaptable, and impact-driven Senior Data Analyst to join our Product Operations team. This role will embed within product domains and partner with Product Managers to drive growth and optimize the end-to-end customer experience. You will leverage data to support strategic product decisions, identify growth opportunities, and ensure operational excellence at scale.
Key Responsibilities- Empower Product Teams to be Data Driven: provide cross‑product insights, design and own dashboards and reports that reveal key product metrics, user engagement, and feature performance.
- Support Data-Driven Decision Making: translate business questions into data problems and deliver actionable recommendations with compelling data narratives.
- Drive Product Growth with Actionable Insights: perform deep-dive analyses to explain why outcomes occurred and inform product strategy and feature prioritization.
- Champion Continuous Improvement & Automation: contribute to a culture of learning, drive automation and scalable analytical solutions, and identify data quality improvements.
- Collaborate Cross-Functionally: work with product, marketing, data engineering, and other teams to align growth initiatives.
- Stakeholder Communication: present findings to varied audiences, translating analyses into clear, actionable takeaways.
- Ensure Accountability: ensure analytics quality and support planning with data inputs, forecasts, and key performance analytics.
- 4+ years of experience as a Data Analyst, preferably within a product-led organization or supporting product teams.
- Strong SQL proficiency for data extraction, manipulation, and analysis.
- Experience with data modeling and transformation tools like dbt.
- Familiarity with workflow orchestration tools such as Airflow.
- Proficiency in building dashboards and reports using BI tools (e.g., Superset) to visualize data and communicate insights.
- Ability to translate complex data into clear, actionable insights for non-technical stakeholders.
- Strong understanding of product metrics, user behavior, and sales funnels.
- Proactive, curious mindset with a focus on measurable outcomes.
- Excellent communication and collaboration skills; able to influence decisions through data.
- Adaptability to a fast-paced, evolving environment; willingness to tackle challenges across product areas.
- Basic understanding of Python for data analysis is a plus.
- Data-Driven Mindset: data-informed decision making for operational choices.
- Problem Solver: solution-oriented approach to challenges.
- Accountable & Results-Oriented: ownership of work and measurable improvements.
- Collaborative Communicator: clear, timely communication and receptiveness to feedback.
- Systems Thinker: design repeatable, scalable processes and documentation.
- Adaptable: thrives in a dynamic environment.
- Flexible Work Environment: hybrid work with specific weekly in-office days and flexible start/finish times.
- Employee Stock Options: ownership for contribution to building a world-class company.
- CG Gives and social initiatives: programs that enable philanthropy and community impact.
- Additional benefits and initiatives are provided to support well-being and growth.
Sound interesting? If you think you have the right combination of experience and fit, send us your resume and let's chat
EEO Statement: Cover Genius promotes diversity and inclusivity. We don't tolerate discrimination, demeaning treatment, or harassment due to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.
By submitting your application, you acknowledge that we may collect, store and process your personal data for recruitment purposes. We may use AI to assist in sorting applications, but all final decisions are made by our hiring team. We will keep your information on file for three years from the date of your application. For details about our data handling and AI use, please review our full Privacy Policy.
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