Data Analytics Team Coordinator
Summary
Lead a data analytics team at Verisk analyzing US Property & Casualty insurance industry performance, managing end-to-end analytics from data collection through validation and reporting. Uses advanced Excel, SQL, and Python with a balance of team leadership and hands-on analysis.
The ISO unit of Verisk is looking for Data Analytics Team Lead to support our Financial Analysis team, which is focused on analyzing USA Property & Casualty (P&C) insurance industry performance for internal and external stakeholders.
You will lead the team that conducts end-to-end data analytics processes (from collecting the data, through verification & validation, to presetting results). The role focuses on supporting daily day‑to‑day operations while also identifying, proposing, and driving improvements to existing processes.
- Team Leadership: Supervise and mentor a team of data analysts, assigning tasks and monitoring progress.
- Project Leadership: Manage multiple large-scale data analysis projects, ensuring alignment with client requirements and business objectives.
- Strategic Guidance: Act as a liaison between the team and senior management, reporting progress and addressing obstacles.
- Process Improvement: Ensure that data analysis processes are continually improved to meet changing business needs.
- Collaboration: Coordinate with other departments to align project goals and resolve cross-functional challenges.
- Mentorship: Provide guidance and support to junior analysts, fostering skill development and career growth.
A successful Insurance Data Analytics Team Lead manages and develops a team of data analysts, ensuring projects are delivered on time and meet business objectives. This role balances leadership responsibilities with hands-on analytical work, driving high-quality insights while fostering team growth and aligning analytics initiatives with organizational goals.
5+ years of experience in data analysis, including leadership or team management responsibilities.
Strong analytical toolkit, including advanced Excel (pivot tables, formulas, conditional formatting) and working knowledge of SQL and Python (basic to intermediate).
Ability to lead and develop a team, effectively delegating tasks while remaining hands-on when needed.
Experience managing complex projects and collaborating cross-functionally with multiple stakeholders.
Strong communication and stakeholder management skills, with the ability to translate data insights into business decisions.
Strong organizational skills to manage multiple priorities and deadlines.
Fluent English (minimum B2)
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