Data Analytics Engineer (Remote, US)

Overview

The Data Analytics Engineer helps the Risk Data Team build a trusted, connected, insight-driven risk ecosystem by transforming fragmented risk, control, regulatory, and operational data into reliable, accessible, and actionable information through analytics, reporting, automation, governed datasets, and reusable data products.

What you'll do

• 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.

What you'll need

• 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.

Nice to have

• Experience working with risk, compliance, controls, audit, cybersecurity, technology operations, insurance, or other complex business data.
• Experience improving data quality, reconciling data sources, defining metrics, documenting business rules, or reducing manual reporting processes.

Details

• Location: USA - IL (Remote)
• This job does not have supervisory duties.
• Compensation: 98,100.00 - 167,850.00 annually, based on experience and qualifications.
• Background investigation required for the offered candidate.
• Allstate generally does not sponsor individuals for employment-based visas for this position.