Offer summary

Qualifications:

Bachelor's degree in Data Science, Business Analytics, Business Administration, Industrial & Organizational Psychology, or Mathematics is required; a Master's degree is preferred., 5 or more years of technical experience in data analytics is preferred., Advanced skills in Excel, SQL, and data visualization are essential., Strong consultation and business acumen skills are necessary for advising stakeholders..

Key responsabilities:

Provide data and analytics expertise to support collaboration across business units.

Influence business strategy through data analytics and manage stakeholder expectations.

Compile, clean, and analyze complex data sources to drive actionable insights.

Mentor the People Analytics team and enhance data fluency within the HR organization.

Job description

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

Reporting to the Sr. Manager, People Analytics, the Data Analytics Lead Consultant is responsible for influencing business strategy and driving actionable insights through data and analytics. The work of the team is high-impact and highly visible across multiple areas of the business and HR. This role will manage relationships with HR Business Partners and HR centers of excellence (e.g., Talent Acquisition, Compensation), providing insights, consultative guidance, analytic tools, and solutions to help shape the organizations they support.

Key Responsibilities

Provide data and analytics expertise to support and collaborate across business units.

Influence strategy through data analytics and subject matter expertise.

Manage business stakeholder expectations and ad hoc requests by translating business questions into technical requirements, outlining delivery timelines, etc.

Proactively connect across the business to encourage real-time problem-solving and collaboration across the enterprise.

Compile, clean, organize, and analyze complex data sources to drive actionable insights.

Communicate and present complex project information to the team and provide presentations/updates to senior leadership.

Mentor and inspire individuals across the People Analytics team regarding technical data elements.

Provide technical knowledge (e.g., how to interpret and use data) across various domains (e.g., talent acquisition, compensation, HR strategy).

Partner across the People Analytics team to enhance data fluency within the HR organization, empowering individuals with the skills and knowledge to leverage data effectively, advance self-service reporting adoption, and drive data/evidence-based decision-making.

Stay up to date with industry trends and best practices in People Analytics.

Education

Bachelor's degree (required) or Master's degree (preferred) in Data Science, Business Analytics, Business Administration, Industrial & Organizational Psychology, or Mathematics.

Experience

5 or more years of technical experience (preferred).

Functional Skills

Data Analysis & Management: Advanced Excel skills, SQL, data cleaning & transformation
Data Visualization: Creating meaningful insights through charts and dashboards
Consultation & Business Acumen: Advising stakeholders with data-driven insights
Change Management: Implementing and adapting to organizational changes
Strategic Thinking: Aligning data insights with business goals
Client Management: Building and maintaining strong relationships with clients
Project Management: Documentation, time management, and collaboration

Supervisory Responsibilities

This job does not have supervisory duties.

Education & Experience

In lieu of the above education requirements, an equivalent combination of education, functional skills, and experience may be considered.

Skills

Business Analysis, Business Case Analyses, Business Model Development, Client Management, Data Analytics, Data Transformation, Data Visualization, Project Management, Structured Query Language (SQL)

Compensation

Compensation offered for this role is $92,560.00 - 166,465.00 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. And one where you can impact the future for the greater good.

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.

Good Hands. Greater Together.

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.

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To view the “EEO is the Law” 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

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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.

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