Data Analytics Senior Consultant I at Allstate

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 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.

Key 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

Required Qualifications:

• 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

Preferred Qualifications:

• 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

Skills

Advanced SQL, Big Data, Business Analysis, Business Case Analyses, Business Model Development, Data Analysis, Data Analytics, Data Engineering, Data Query, Predictive Modeling, Python (Programming Language)

Compensation

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.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.

For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.