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, streamlined workflows, modernized data visualization, and business intelligence solutions.
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, reconciliation, and anomaly detection.
Automate manual and spreadsheet-based processes, identify efficiency opportunities, and implement creative modeling concepts that improve business processes.
Translate business questions into analytical solutions, provide high-quality data models to support stakeholder performance initiatives, and communicate effectively with stakeholders, product owners, and team members.
Support peer-to-peer cross-training and help build team capability through collaboration.

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, using a variety of data reporting and visualization software.
Intermediate technical knowledge with data management processes (i.e., data flow within systems, data mapping, etc.) and/or experience with integrating data from multiple sources, including databases, unstructured data, and/or other enterprise data stores.
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 to make data informative and form a recommendation.
Demonstrated ability to work with numbers and develop medium to high complexity formulas.
Advanced PC skills including Excel, PowerPoint, and Word
Exceptional interpersonal skills to work effectively in a virtual team environment.
Effective time management and organization skills
Strong oral and written communication skills

comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse
monthly connectivity reimbursement to help offset internet costs

Senior Data Analytics Consultant

Key skills