Data Analytics Engineer

Job Description:

• Lead complex risk data analytics initiatives from requirements through delivery, validation, implementation, and operational support
• Translate business questions into clear data, analytics, and reporting requirements
• Build and maintain trusted risk datasets, semantic models, dashboards, reports, and reusable analytics products
• Integrate and analyze information from internal platforms, vendor tools, external sources, and operational systems
• Automate data collection, preparation, validation, reconciliation, refreshes, and recurring reporting processes
• Produce analytics identifying trends, control weaknesses, emerging risks, performance gaps, and opportunities to prioritize risk action
• Support governed, analytics-ready data products for 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
• Partner with risk, control, regulatory, product, engineering, and leadership stakeholders
• No supervisory duties

Requirements:

• 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
• Proficiency with SQL, Power BI, Microsoft Fabric, Python, and advanced Excel
• Ability to lead complex risk data analytics initiatives from requirements through delivery, validation, implementation, and operational support
• Ability to partner with risk, control, regulatory, product, engineering, and leadership stakeholders
• Ability to define, document, and apply common risk metrics, data definitions, business rules, and quality standards
• Successful completion of a background investigation required
• Must be authorized to work in the United States; Allstate generally does not sponsor individuals for employment-based visas for this position
• Dedicated, private workspace free from distractions when working from home
• Reliable internet with minimum speeds of 50 MB download and 5 MB upload

Benefits:

• Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse
• Monthly connectivity reimbursement to help offset internet costs
• Opportunity for professional growth and skills development
• Work-from-home arrangement