Remote Senior Analytics Engineer - Python/Data Visualization

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.