Develop, maintain, and continuously improve predictive models and operational forecasts that support Claims demand and capacity planning.
Produce accurate, consistent outputs while strengthening process integrity through automation and streamlined workflows.
Build and support Python workflows for operational forecasting, reporting, and scalable analytical solutions.
Query and transform datasets using Python and SQL to create feature datasets; perform data validation and anomaly detection.
Automate manual processes, identify efficiency opportunities, and implement modeling concepts that improve business processes.
Translate business questions into analytical solutions, provide high-quality data models to support stakeholder performance initiatives.

Experience developing, maintaining, or supporting predictive models.
Advanced Python skills for data analysis, feature engineering, workflow development, and model creation.
At least 2 years of hands-on experience with data reporting
Advanced SQL (joins, aggregations, window functions)
Experience working with large or complex datasets.
Experience troubleshooting and debugging analytical processes.
Experience building and implementing short and long-term demand and capacity forecasting models is a plus.
Intermediate to advanced ability to build forecasts and/or technical tools
Intermediate technical knowledge with data management processes and/or experience with integrating data from multiple sources
Comprehensive knowledge of forecast reporting and business knowledge (financial skills, follow the numbers)
Advanced proficiency in querying, compiling, analyzing, and integrating information from different sources

Senior Data Analytics Consultant

Key skills