Data Analytics Engineer (Remote, US)

Allstate Foundation; Illinois City (IL); Remote; USD 98,000 - 168,000; Full time

Benefits offered by this job

Connectivity reimbursement

Tech setup provided (laptop, monitors,

monitors, headset, keyboard, mouse

Job summary

Allstate is seeking a Data Analytics Engineer to build a trusted risk data ecosystem and deliver analytics, reports, and data products. You will collaborate with risk, controls, product, engineering, and leadership to drive faster, more reliable risk decisions and proactive management.

You will develop complex analytics, ensure data quality, and automate reporting processes, leveraging SQL, Power BI, Fabric, Python, and Excel to surface actionable insights for risk action.

Qualifications

• 3+ years of experience in data analytics, BI, risk analytics, or related fields.
• Experience delivering analytics or data product solutions from requirements through implementation.
• Experience with risk, compliance, controls, audit, or related complex data preferred.
• Experience improving data quality, reconciling sources, and reducing manual reporting preferred.

Responsibilities

• Lead complex risk data analytics initiatives from requirements through delivery and support.
• Translate business questions into data, analytics, and reporting requirements.
• Build and maintain trusted risk datasets, semantic models, dashboards, and reusable analytics products using SQL, Power BI, Fabric, Python, and Excel.
• Integrate data from internal platforms, vendor tools, external sources, and operational systems.
• Automate data collection, preparation, validation, reconciliation, and reporting processes.
• Define and apply common risk metrics, data definitions, and quality standards.
• Produce analytics that identify trends, weaknesses, risks, and performance gaps.
• Support governed analytics-ready data products for leadership reporting and AI capabilities.
• Establish best practices for data sourcing, transformation, governance, and reporting adoption.
• Coach analysts and enable stakeholders with templates, training, and guidance.

Skills

Business Analysis

Business Case Analyses

Business Model Development

Cyber Security

Data Analysis

Data Analytics

Data Governance

Data Quality

Risk Control

Tools

SQL

Power BI

Microsoft Fabric

Python

Excel

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

The Data Analytics Engineer will help the Risk Data Team create a trusted, connected, and insight-driven risk ecosystem where high-quality data enables faster decisions, proactive risk management, and measurable improvements in control effectiveness. This hands-on role transforms fragmented risk, control, regulatory, and operational data into reliable, accessible, and actionable information through analytics, reporting, automation, governed datasets, and reusable data products. The role partners with risk, control, product, engineering, and leadership stakeholders to improve confidence in risk data, reduce manual reporting, and surface insights that help the organization understand trends, identify weaknesses, and prioritize action.

Key Responsibilities

• Lead complex risk data analytics initiatives from requirements through delivery, validation, implementation, and operational support.
• Partner with risk, control, regulatory, product, engineering, and leadership stakeholders to translate business questions into clear data, analytics, and reporting requirements.
• Build and maintain trusted risk datasets, semantic models, dashboards, reports, and reusable analytics products using SQL, Power BI, Microsoft Fabric, Python, and advanced Excel.
• Integrate and analyze information from internal platforms, vendor tools, external sources, and operational systems to create a connected view of risk and control performance.
• Automate data collection, preparation, validation, reconciliation, refreshes, and recurring reporting processes to reduce reliance on spreadsheets and manual effort.
• Define, document, and apply common risk metrics, data definitions, business rules, and quality standards so reporting is consistent, traceable, and trusted.
• Produce analytics that identify trends, control weaknesses, emerging risks, performance gaps, and opportunities to prioritize risk action.
• Support governed, analytics-ready data products that can safely enable leadership reporting, operational insight, automation, and future AI-based capabilities.
• Establish best practices for data sourcing, transformation, quality, documentation, governance, access, and reporting adoption.
• Coach analysts and enable stakeholders through technical consultation, reusable templates, training, and practical guidance on using trusted risk data.

Experience:

• 3 or more years of relevant experience in data analytics, business intelligence, risk analytics, data governance, operational reporting, or a related field.
• Experience delivering analytics, reporting, or data product solutions from requirements through implementation and ongoing improvement.
• Experience working with risk, compliance, controls, audit, cybersecurity, technology operations, insurance, or other complex business data is preferred.
• Experience improving data quality, reconciling data sources, defining metrics, documenting business rules, or reducing manual reporting processes is preferred.

Supervisory Responsibilities:

• This job does not have supervisory duties.

#LI-SM1

Skills

Business Analysis, Business Case Analyses, Business Model Development, Cyber Security, Data Analysis, Data Analytics, Data Governance, Data Quality, Risk Control

Compensation

Compensation offered for this role is 98,100.00 - 167,850.00 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.

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 effects 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.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.

To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter.

Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.