***We are unable to sponsor for this permanent full-time role***
***Position is bonus eligible***
Prestigious Financial Company is currently seeking a Data Analytics Engineer with SQL, Python, and Data Visualization tools (Power BI and/or Tableau) experience. Candidate will drive the successful development of new products and the effective management and enhancement of existing products by making recommendations regarding product design, pricing, underwriting, agency management, distribution, claims and other processes.
Responsibilities:
- Ensures overall goals for production and underwriting profitability are met by analyzing premium rates, loss experience, and retention. Monitors the mix of business in assigned state(s), identifying changes in the mix and reasons for those changes.
- In conjunction with marketing, develops assigned state(s) business profit and growth strategies and translates business ideas and market opportunities into new product ideas by researching and maintaining awareness of all major competitors' current market positions (i.e., rates, service levels, financial positions and operating strategies), business directions, financial dynamics, and new technologies.
- Communicates and coordinates key profit metrics by coordinating with the Information Technology (IT) department to ensure proper implementation of rate revisions, new products, new product features, and other initiatives; develops working relationships with Accounting, Actuarial, Claims, Customer Service and IT.
Qualifications:
- Proficiency in SQL for data extraction, transformation, and analysis.
- Experience with Python for advanced analytics, automation, and data processing.
- Strong analytical and problem-solving skills with the ability to translate complex data into actionable business insights.
- Familiarity with data visualization tools (e.g., Power BI, Tableau) and cloud-based analytics environments is a plus.
- Experience with forecasting and modeling.
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