Data Analytics Engineer

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Oversee intricate risk data analytics projects from the initial requirements stage through to delivery, validation, implementation, and ongoing operational support.

• Convert business inquiries into precise data, analytics, and reporting specifications.

• Develop and uphold reliable risk datasets, semantic models, dashboards, reports, and reusable analytic tools.

• Synthesize and evaluate information from internal platforms, vendor tools, external sources, and operational systems.

• Streamline data collection, preparation, validation, reconciliation, refreshes, and repetitive reporting procedures.

• Generate analytics that highlight trends, control deficiencies, emerging risks, performance gaps, and opportunities to prioritize risk actions.

• Facilitate governed, analytics-ready data products for leadership reporting, operational insights, automation, and future AI capabilities.

• Establish optimal practices for data sourcing, transformation, quality, documentation, governance, access, and reporting utilization.

• Mentor analysts and empower stakeholders through technical consultation, reusable templates, training, and practical assistance.

• Collaborate with risk, control, regulatory, product, engineering, and leadership stakeholders.

• No supervisory responsibilities.

⛳️ Requirements

• A minimum of 3 years of pertinent experience in data analytics, business intelligence, risk analytics, data governance, operational reporting, or a related field.

• Proven experience in delivering analytics, reporting, or data product solutions from requirements to implementation and continuous enhancement.

• Preferred experience in handling risk, compliance, controls, audit, cybersecurity, technology operations, insurance, or other intricate business data.

• Preferred experience in enhancing data quality, reconciling data sources, defining metrics, documenting business rules, or minimizing manual reporting efforts.

• Proficient in SQL, Power BI, Microsoft Fabric, Python, and advanced Excel.

• Capability to lead complex risk data analytics projects from requirements through to delivery, validation, implementation, and operational support.

• Ability to collaborate with risk, control, regulatory, product, engineering, and leadership stakeholders.

• Skill in defining, documenting, and applying standard risk metrics, data definitions, business rules, and quality benchmarks.

• Successful completion of a background check is mandatory.

• Must be authorized to work in the United States; Allstate typically does not sponsor individuals for employment-based visas for this role.

• A dedicated, private workspace devoid of distractions when working remotely.

• Reliable internet connection with a minimum speed 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 cover internet expenses.

• Opportunities for professional growth and skill development.

• Work-from-home arrangement.