Jobs / United States / Allstate Insurance Company
Data Analytics Engineer (Remote, US)
Allstate Insurance Company · 🇺🇸 USA - IL (Remote) · Remote
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 38 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 25 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Allstate Insurance Company paid sponsored hires in similar roles1 certified filing for “Applied Machine Learning Engineer Senior Expert” (Data Scientists) in CA: $193k–$193k, median $193k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. The pay stated here (98,100.00 - 167,850.00) is below what this employer usually pays sponsored hires for this role. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Allstate Insurance Company
The US Department of Labor certified 38 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 25 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Allstate Insurance Company →
About the role
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 exper