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# Remote Senior Analytics Engineer - Python/Data Visualization

- **Company:** Kelly Services Inc.
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $52,000 - $83,200
- **Contract:** Temporary to permanent
- **Skills:** Microsoft Excel, Geographic Information Systems, Application Programming Interfaces (APIs), Business Analytics Applications, Data Analysis, Application Frameworks, Big Data, Spreadsheets, Data Validation, Data Visualization, Python (Programming Language), Data Analytics, Tools for Reporting, Api Design, Streamlit Framework
- **Published:** October 26, 2026
- **Apply:** https://www.bostonjobsite.com/job.asp?id=3468070182&tx=IT8679TTT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

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, Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

## Description

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