Data Analytics Senior Consultant I

Allstate • McCullom Lake, IL

2d

About The Position

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. The Data Analytics Senior Consultant I will develop, maintain, and continuously improve predictive models and operational forecasts for Claims demand and capacity, ensuring accurate and consistent outputs. The analyst will ensure integrity by implementing systematic improvements that automate, streamline, and modernize the process, data visualization, and business intelligence to ease the communication of one source of truth for data across the Claims Workflow organization.

Requirements

• 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 Haves

• 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

Responsibilities

• Design, build, populate, and own medium to high complexity predictive models.
• Ideate and implement creative forecasting concepts to gain efficiencies, best depict information, 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.
• Peer-to-peer cross training

Benefits

• Compensation offered for this role is 70,100.00 - 121,475.00 annually and is based on experience and qualifications.
• The candidate(s) offered this position will be required to submit to a background investigation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed