Data Scientist - Marketing Analytics

Overview

This role involves leveraging analytical skills within the marketing analytics domain of property and casualty (P&C) insurance. The candidate will engage in translating business challenges into analytical models to derive actionable insights for effective decision-making.

Key Responsibilities

• Acquire deep understanding of marketing and campaign processes in the P&C insurance sector.
• Participate in moderately complex projects to transform business questions into analytical tasks and deliver insights accordingly.
• Execute programming and generate reports to inform large-scale strategic planning and decisions.
• Produce campaign and project performance reports, interpreting marketing concepts accurately.
• Conduct end-to-end data analytics using Python and SAS to extract relevant results based on problem statements.
• Perform thorough analysis of complex data sets and aggregations.
• Ensure quality control and validation of results by self-review in alignment with evolving requirements.
• Demonstrate expertise in exploratory data analysis (EDA).
• Apply modeling techniques using large variable sets from diverse sources.
• Utilize knowledge of statistics and machine learning methods to enhance model development.

Required Skills

• Comprehensive understanding of P&C insurance marketing and campaigns.
• Proficiency in Python and SAS for programming and data extraction.
• Strong capability in exploratory data analysis.
• Experience with statistical analysis and implementing machine learning algorithms.
• Ability to interpret and report on marketing analytics.
• Familiarity with handling and analyzing large and complex data sets.
• Quality assurance skills for analytical outputs.