Data Analytics Senior Consultant I

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Job Description

The Data Analytics Senior Consultant I will develop, maintain, and continuously improve predictive models and operational forecasts that support Claims demand and capacity planning.
This role is responsible for producing accurate, consistent outputs while strengthening process integrity through automation, streamlined workflows, modernized data visualization, and business intelligence solutions that make data easier to understand and use across the Claims Workflow organization.

Key Responsibilities:

• Predictive Modeling and Forecasting: Design, build, populate, own, monitor, and maintain medium- to high-complexity predictive models, including reruns and backfills.
• Workflow Development: Build and support Python workflows for operational forecasting, reporting, and scalable analytical solutions.
• Data Preparation and Quality: Query and transform datasets using Python and SQL to create feature datasets; perform data validation, reconciliation, and anomaly detection.
• Process Improvement: Automate manual and spreadsheet-based processes, identify efficiency opportunities, and implement creative modeling concepts that improve business processes.
• Business Partnership: 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.
• Knowledge Sharing: Support peer-to-peer cross-training and help build team capability through collaboration.

Qualifications:

• 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.

Functional Skills:

• 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 da