Data Analyst
Our client isĀ on a mission to defend the right to efficient, equitable insurance for all. Our platform enables insurers to provide affordable coverage amidst contemporary challenges like the climate crisis, cyber-attacks, and social inflation. Backed by notable investors, our AI/ML-driven platform uses deep reinforcement learning to help insurance companies optimize risk portfolios and maintain fair pricing even in complex areas. Our innovative āRiskOpsā solution enhances underwriting decisions by operationalizing underutilized data and delivering real-time risk and portfolio insights. We aim to empower insurance underwriters to achieve their goals while delivering valuable services to society.
Role Overview
- Design, develop, and maintain interactive dashboards, charts, and reports for real-time insights across business units.
- Ensure visualizations are user-friendly and tailored to diverse audiences, including customer success, sales, marketing, and external clients.
- Lead the development of a scalable portfolio insight analytics product for both internal and external stakeholders.
- Ensure the product meets the needs of different user groups, aiding in performance review and informed decision-making.
- Collaborate with product managers and engineers to integrate the analytics product into existing systems and workflows.
- Work closely with the data science team to monitor ML models’ performance and impact.
- Act as a liaison between technical teams (data engineering, data science) and business units to ensure alignment on objectives and deliverables.
Qualifications
- Bachelorās degree in Data Science, Statistics, Computer Science, or a related field.
- Experience in a fast-paced, cross-functional environment.
- At least 2 years of experience as a Data Analyst or similar role, with a focus on dashboard development and statistical analysis.
- Proficiency in data visualization tools (e.g., Tableau, Power BI) and statistical software (e.g., Python).
- Experience with SQL and handling large datasets.
- Strong problem-solving skills and attention to detail.
Culture
We value capabilities and cultural fit equally. Our environment is fast-paced and collaborative, with a focus on listening to users, solving problems from first principles, and continuous learning. We believe in having fun while making a difference, and weāre excited to work with individuals who share these values.