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 DescriptionThe 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 ResponsibilityAdvanced Analytics InsightsAnalyze 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 SolvingPartner 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 InfluenceEffectively 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 GovernanceEnsure 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. Experience5+ years of experience in data analytics, business intelligence, or a similar role. SkillsActionable Insights, Advanced Analytics, Analytics Insights, Business Analysis, Business Case Analyses, Business Intelligence (BI), Data Analytics, Data-Driven Decision Making, Machine Learning (ML), Predictive Analytics, Predictive ModelingCompensationCompensation offered for this role is 90,

700. 00 - 153,

925. 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”.

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Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and re

Product

ive 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.