Full Stack Analytics Engineer

Job Description

Job Description

Are you a Python expert who can transform complex insurance data into powerful visual stories?
Join our Data Science team as a Full Stack Analytics Engineer where you'll architect end-to-end data experiences that drive critical business decisions.
This role bridges sophisticated Python-powered Databricks data processing with engaging Python-driven Streamlit visualizations, offering a unique opportunity to revolutionize how insurance metrics become actionable intelligence.
Make your mark across our entire technology stack—from the powerful engines processing the data to the intuitive dashboards stakeholders rely on daily.

Key Responsibilities

• Data Pipeline Assessment: Critically evaluate existing data processing workflows, identifying embedded assumptions and opportunities for improved accuracy and efficiency in our pipeline and reporting systems.
• Analytics Engineering: Implement robust data validation protocols and engineering solutions to ensure data integrity throughout the analytics process, connecting key metrics to dashboards and final reporting deliverables.
• Quality Engineering: Drive end-to-end system reliability through rigorous testing methodologies and efficient bug resolution, applying meticulous attention to detail across both Streamlit interfaces and data pipelines while spending significant time troubleshooting complex issues to ensure seamless operation of all analytics tools.
• Streamlit App Development: Design and maintain intuitive user-facing dashboards that transform complex data into accessible visualizations, connecting back-end analytics to interactive front-end reporting tools for stakeholders.
• Last Mile Validation: Lead final validation of reporting tools and, where applicable, present findings to stakeholders.

Qualifications

• Insurance Industry Expertise: Demonstrated knowledge of insurance business fundamentals and their implementation in data systems.
• Python Proficiency: Proficiency in Python programming with experience applying these skills to data processing, analysis, and visualization (ie. Pandas, Plotly).
• Detail Orientation: Proven ability to maintain high standards of precision in both front-end applications and back-end data pipelines, with excellent troubleshooting and debugging skills.
• Front-End Development: Experience building interactive data applications using Streamlit or similar frameworks, with a strong eye for user experience and data visualization.
• Communication Excellence: Demonstrate exceptional ability to distill complex technical concepts into powerful, action-oriented executive summaries that drive decisive business action, with proven experience communicating data insights to both technical and non-technical decision-makers.

Additional Information:

The anticipated salary for this position is $90,000 – $140,000 per year, based on qualifications and experience.

Full benefit package including medical, dental, life, vision, company paid short/long term disability, 401(k), tuition assistance and more.

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