Develop, maintain, and continuously improve predictive models and operational forecasts for Claims demand and capacity.
Design, build, populate, and own medium to high complexity staffing models.
Ideate and implement creative forecasting concepts to gain efficiencies and craft action plans to improve overall business processes.
Collaboration and communication with stakeholders, product owners, and scrum team members.
Provide high quality forecasts to support stakeholders' performance initiatives.
Build and support Python workflows for operational forecasting and reporting.
Query and transform datasets using Python & SQL to create modeling datasets.
Perform data validation, reconciliation, and anomaly detection.
Monitor and maintain predictive models, including reruns and backfills.
Automate manual and spreadsheet-based processes.
Translate business questions into scalable analytical solutions.

Experience building and implementing short and long-term demand and capacity forecasting models.
Experience with predictive staffing models preferred.
Advanced Python for data analysis and automation (pandas).
2 years of hands-on data reporting.
Advanced SQL (joins, aggregations, window functions).
Experience working with large or complex datasets.
Experience troubleshooting and debugging analytical processes.

Senior Data Analytics Consultant

Key skills