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.