allstate-plumbing
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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.
Collect, analyze, and interpret data to identify trends, patterns, and opportunities.
Develop structured reporting, dashboards, and data visualizations to support business and product teams.
Conduct exploratory analysis to answer business questions and measure product performance.
Ensure data accuracy, integrity, and adherence to governance standards.
Translate data findings into clear, actionable insights for stakeholders.
Partner with product managers, engineers, and business teams to support product decision making through analytics.
Contribute analysis that informs product roadmaps, feature prioritization, and experimentation.
Monitor product KPIs and provide insights to track performance and identify improvement opportunities.
Participate in product review sessions, sprint discussions, or analytics‑driven discovery work.
Proficiency with analytics and visualization tools such as Power BI, Tableau, or equivalent.
Solid SQL skills for extracting, cleaning, and manipulating data.
Experience with Python or R for analysis, automation, or statistical exploration.
Understanding of data modeling concepts, ETL pipelines, and relational databases.
Familiarity with product analytics concepts (funnels, cohorts, experimentation, KPIs) is a plus.
Strong analytical thinking and problem solving abilities.
Ability to communicate findings clearly to technical and non‑technical audiences.
Curiosity, attention to detail, and a willingness to learn.
Collaborative mindset with experience working with product teams or agile environments.
Ability to work independently on assigned tasks while seeking guidance appropriately.
Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business, or a related field.
3-5 years of experience in data analytics, business intelligence, or related roles.
Experience working with or supporting product teams strongly preferred.
Proven ability to deliver actionable insights that influence product or business outcomes.
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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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.
Originally posted on Himalayas