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 and Insights Lead will be responsible for executing advanced analytics to analyze complex data and deliver actionable insights that drive business decisions. This role requires a strategic thinker with strong technical expertise who can bridge the gap between data and business needs.Key Responsibility
Advanced Analytics & Insights
Analyze large and complex data sets to identify, interpret, and communicate trends, patterns, and opportunities.
Apply statistical and predictive modeling techniques to support business strategies.
Design, build, and implement well-governed, structured reporting and dashboard capabilities.
Business Problem Solving
Partner with stakeholders to ensure a clear understanding of business problems and define the key questions to be answered using data.
Translate business requirements into analytical solutions that deliver measurable impact.
Communication & Influence
Effectively communicate technical analyses, insights, and recommendations to business leaders and non-technical stakeholders.
Serve as a subject matter expert for the assigned business unit, advising on data-driven decision-making.
Collaboration & Governance
Ensure data integrity, quality, and compliance with governance standards.
Required Skills & Qualifications
Strong proficiency in Power BI, Microsoft Fabric, SQL Developer, and Python or R.
Proven experience in analyzing complex data sets and delivering actionable insights.
Excellent problem-solving skills with the ability to translate business needs into analytical solutions.
Strong communication and storytelling skills to present insights to senior leadership.
Preferred Qualifications
Experience with cloud-based data platforms (e.g., AWS, Azure).
Knowledge of machine learning, predictive analytics, and advanced statistical techniques.
Expertise in dashboard development and data visualization best practices.
Education & Experience
Bachelor’s or Master’s degree in Data Science, Analytics, Statistics, Computer Science, or a related field.
5+ years of experience in data analytics, business intelligence, or a similar role.
Skills
Advanced Analytics, Analytics, Analytics Insights, Business Analysis, Business Case Analyses, Business Data Analytics, Data Analytics, Predictive Analytics, ReportingCompensation
Compensation offered for this role is $85,600.00 - 152,650.00 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.
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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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