Job Description
Apex Insurance Solutions is at the forefront of the digital insurance revolution, seeking a visionary Senior Insurance Data Analyst to drive our risk assessment and underwriting strategies. In this pivotal role, you will leverage advanced data analytics to uncover actionable insights, optimize claims processes, and mitigate risk with unprecedented precision.
We are looking for a professional who thrives in a fast-paced environment and possesses a deep understanding of the insurance domain combined with robust technical expertise. You will collaborate with cross-functional teams of actuaries, underwriters, and IT specialists to transform raw data into strategic assets that power our business growth.
Why Join Us?
- Competitive Compensation: Annual salary ranging from $90,000 to $120,000, plus performance bonuses.
- Comprehensive Benefits: Premium health, dental, and vision coverage, 401(k) matching, and flexible remote work options.
- Professional Growth: Access to industry-leading certifications and continuous learning opportunities.
Responsibilities
- Develop and maintain sophisticated predictive models to evaluate insurance risk and pricing strategies.
- Analyze large-scale datasets to identify trends, anomalies, and opportunities for process improvement in claims management.
- Collaborate with actuaries and underwriters to translate complex data findings into actionable business recommendations.
- Design and automate data pipelines to ensure the accuracy and timeliness of reporting dashboards.
- Conduct A/B testing on new insurance products and marketing campaigns to maximize conversion rates.
- Document data models, methodologies, and findings to ensure regulatory compliance and knowledge transfer.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Finance, Economics, or a related field; Master’s degree is a plus.
- Minimum of 5 years of experience in data analytics, specifically within the insurance or financial services sector.
- Expert proficiency in SQL, Python, or R for data manipulation and statistical analysis.
- Strong experience with data visualization tools such as Tableau, Power BI, or Looker.
- Familiarity with insurance regulatory standards (e.g., NAIC, Solvency II) and actuarial concepts.
- Exceptional problem-solving skills and the ability to communicate complex data insights to non-technical stakeholders.