Data Analytics Senior Consultant I

Allstate Allstate · Insurance · United States · Remote

Develop, maintain, and improve predictive models and operational forecasts for Claims demand and capacity. Implement systematic improvements to automate, streamline, and modernize processes, data visualization, and business intelligence. Build and support Python workflows for operational forecasting and reporting. Query and transform datasets using Python & SQL. Perform data validation, reconciliation, and anomaly detection. Monitor and maintain predictive models. Automate manual processes. Translate business questions into analytical solutions.

What you'd actually do

  1. Design, build, populate, and own medium to high complexity predictive models.
  2. Ideate and implement creative forecasting concepts to gain efficiencies, best depict information, and craft action plans to improve overall business processes.
  3. Collaboration and communication with stakeholders, product owners and scrum team members
  4. Provide high quality forecasts to support stakeholders' performance initiatives.
  5. Build and support Python workflows for operational forecasting and reporting.

Skills

Required

  • 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 delivering accurate data sources

Nice to have

  • Experience building and implementing short and long-term demand and capacity forecasting models.
  • Experience with predictive staffing models preferred.
  • 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

What the JD emphasized

  • Advanced Python for data analysis and automation (pandas)
  • Advanced SQL (joins, aggregations, window functions)
  • Experience building and implementing short and long-term demand and capacity forecasting models.