Sr. Data Analyst - Transport - Reserv

Key Responsibilities

• Design, develop and maintain scalable data pipelines to ingest, clean and transform transport claim data from multiple sources.
• Build predictive models and statistical analyses to identify fraud, optimize pricing and improve claim resolution times.
• Create interactive dashboards and visualizations in Tableau to communicate findings to product, engineering and executive teams.
• Collaborate with cross‑functional teams to define key metrics, develop A/B tests and validate model performance.
• Document data processes, model assumptions and maintain data quality standards across the organization.

Requirements

• 5+ years of experience in data analysis or data science within the insurance or transport sector.
• Proficiency in Python (pandas, scikit‑learn) and SQL for data manipulation and analysis.
• Strong experience with Tableau or similar BI tools for dashboard creation.
• Solid understanding of statistical methods, machine learning algorithms and model validation techniques.
• Excellent communication skills and ability to translate complex data insights into actionable business recommendations.