- Location
- 399 Park Avenue-New York, NY, United States of America
- Type
- Full-time
- Department
- Operations
- Seniority
- Mid
- Source
- Workday
Description
Join Starr, a global leader in commercial insurance with over a century of expertise. We empower our employees to innovate, make impactful decisions, and build lasting client relationships worldwide. At Starr, you'll work in an entrepreneurial culture alongside accessible leaders, leveraging our financial strength and vast industry experience to deliver solutions for our clients, no matter how complex. Grow your career with a rapidly growing company that invests in its people and their ability to drive real progress.
Position Summary:
We are seeking a highly motivated and detail-oriented Data Analyst to join our Middle Market Operations team. The role will utilize data analytics techniques, leading-edge tools, and business acumen to drive business objectives and operational excellence. The Data Analyst will work cross-functionally to uncover actionable insights, streamline processes, and support both tactical and strategic business initiatives.
Key Responsibilities:
- Data Capture: Ensure that critical data identified for the business is captured consistently.
- Analytical Insights: Analyze and interpret operational data to identify key trends, process inefficiencies, and actionable opportunities for improvement.
- Troubleshoot and resolve day-to-day data and process challenges; perform root cause analysis and recommend sustainable, data-driven solutions.
- Develop, maintain, and automate dashboards, reports, and data visualizations in tools such as Power BI and Salesforce, enabling clear and impactful communication of findings to stakeholders.
- Collaborate closely with stakeholders across Underwriting, IT/Systems, Compliance, Claims, and Finance to design and implement data specific business solutions and enhance processes.
- Partner with IT and business systems analysts to define data requirements, optimize workflows, and support system enhancements.
- Support cross-functional projects with robust data analysis throughout the lifecycle—from requirements gathering to post-implementation review.
- Champion data quality, governance, and best practices within the operations team.
Professional Qualifications:
- Bachelor’s degree in Data Science, Statistics, Mathematics, Business Analytics, Business Intelligence, Information Systems, or a related quantitative discipline.
- Advanced proficiency with Microsoft Excel (including pivot tables, VLOOKUP, INDEX/MATCH, advanced formulas).
- Hands-on experience with one or more data analytics and visualization tools, specifically Power BI.
- Experience in process mapping tools (e.g., Microsoft Visio) is preferred.
- Strong analytical and problem-solving skills, with demonstrated ability to manipulate, interpret, and visualize large datasets.
- Excellent written and verbal communication skills, with the ability to deliver insights and recommendations to both technical and non-technical audiences.
- Superior organizational skills; able to manage multiple projects and priorities in a fast-paced environment.
- Proven ability to work collaboratively within cross-functional teams.
- Familiarity with commercial insurance policy administration systems is an asset.
Why Join Us?
- Make a direct contribution to data-driven decision-making and operational strategy.
- Collaborate within a supportive, innovative, and growth-oriented environment.
- Access to ongoing training and development opportunities with industry leaders.
Starr is an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.