Job Description A leading organization serving the Property & Casualty insurance industry is seeking a
Senior Analytics Engineer to join a team responsible for developing and enhancing internal data and analytics solutions that drive business growth and strategic decision-making.
In this role, you will help build and maintain a Python-based analytics platform that processes carrier and market data, validates and standardizes information, automates reporting, and delivers actionable insights to business stakeholders. The platform plays a critical role in supporting data-driven decision making and helping teams better understand market opportunities through advanced analytics and visualization.
The ideal candidate is a highly motivated analytics professional who can
hit the ground running with minimal ramp-up time. This team is looking for someone who brings strong hands-on Python experience, excels at working with complex real-world datasets, and can quickly make meaningful contributions in a fast-paced environment. Required Skills & Experience
- 4+ years of professional Python development experience
- Experience building analytics, reporting, or data-focused applications
- Strong experience working with Excel and CSV data sources
- Experience cleaning, transforming, standardizing, and validating large datasets
- Experience developing automated analytics and reporting solutions
- Experience working with APIs and integrating external data sources
- Strong data visualization experience
- Ability to analyze large volumes of data and communicate actionable insights
- Strong problem-solving and troubleshooting skills
- Excellent communication and stakeholder management skills
- Ability to work independently and contribute immediately with limited guidance
Desired Skills & Experience
- Experience with Streamlit, Gradio, Taipy, or similar Python application frameworks
- Experience with Pandera, Pydantic, or other data validation frameworks
- Experience working with geospatial data
- Experience within the Property & Casualty insurance industry
- Experience supporting business development, sales analytics, or customer-facing analytics solutions
- Familiarity with modern analytics engineering best practices
What You Will Be Doing Daily Responsibilities
- 100% Hands-On
- Design, develop, and maintain a Python-based analytics application
- Process and analyze carrier and market datasets from various internal and external sources
- Clean, standardize, validate, and reconcile large datasets
- Build automated reporting and analytics workflows
- Create dashboards, visualizations, and data products that support business decision-making
- Integrate data from APIs, spreadsheets, and other structured sources
- Identify trends, anomalies, and business opportunities through data analysis
- Collaborate with stakeholders to gather requirements and deliver analytics solutions
- Improve data quality, performance, and scalability across analytics processes
- Troubleshoot data issues and continuously optimize existing workflows
The Offer
- 6-Month Contract Opportunity
- Compensation: Up to $40/hour, depending on experience
- Opportunity to work on a highly visible analytics platform with direct business impact
- Fast-paced environment where experienced professionals can contribute immediately
- Potential for extension based on business needs and performance
You will receive the following benefits
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- 401(k)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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