Jobs / United States / Cigna Health And Life Insurance Company
DataOps - Lead Data Analyst
Cigna Health And Life Insurance Company · 🇺🇸 United States Work at Home
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 14 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 30 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 Cigna Health And Life Insurance Company paid sponsored hires in similar roles3 certified filings for “Actuarial Senior Analyst” (Actuaries) in TX: $89k–$158k, median $90k. Most were filed at wage level II (67%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. 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 — Cigna Health And Life Insurance Company
The US Department of Labor certified 14 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 30 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 Cigna Health And Life Insurance Company →
About the role
Job Description The Lead Data Analyst is responsible for translating business opportunities, customer needs, and operational challenges into actionable data requirements, integrated data solutions, and analytical deliverables. This role partners directly with business customers, Digital Product, Analytics, AI, Data Operations, and Technology teams to understand business processes, document requirements, assess data, validate solutions, and ensure delivered capabilities solve the intended business problem. The Lead Data Analyst serves as a key bridge between business stakeholders and the DataOps Engineering organization, providing hands-on expertise across business analysis, data profiling, solution validation, customer enablement, and process improvement so data and engineering investments align to measurable business outcomes. Key Responsibilities Business Engagement & Functional Analysis · Partner with business stakeholders to understand business objectives, operational processes, decision-making needs, and desired outcomes and how data supports them. · Facilitate discovery sessions, requirements workshops, and stakeholder interviews to translate customer needs into clear functional requirements, business rules, acceptance criteria, and value measures. · Ensure business context, intended use, process requirements, and expected outcomes are understood and documented before solution development begins. Data Analysis, Profiling & Requirements · Perform data discovery, profiling, and analysis to evaluate quality, completeness, metadata, usability, and fitness for purpose, identifying gaps and remediation needs early in the lifecycle. · Define and document business semantics, data definitions, transformation logic, source-to-target mappings, data relationships, and readiness criteria. · Develop clear functional and data requirements that enable efficient solution development. Data Product Integration & Validation · Partner closely with Data Operations and Data Engineering throughout design and delivery to ensure solutions reflect business intent and support reuse. · Develop analytical datasets, reusable data assets, and Gold layer data solutions when business requirements can be effectively addressed through analyst-led solution development. · Develop and execute functional testing, test cases, and business acceptance validation for engineered datasets, data products, and integrated solutions. · Coordinate customer feedback, user acceptance testing, adoption, and transition activities to ensure solutions are integrated successfully into business workflows. Business Process Automation & Optimization · Assess business processes to identify opportunities for workflow improvement, process simplification, and operational efficiency gains. · Identify opportunities where data, workflow automation, AI, or integrated solutions can improve business processes, operational efficiency, and customer outcomes. · Partner with automation, AI, DataOps, and Technology teams to define requirements, validate solutions, and measure realized business value when automation is appropriate. Solution Delivery & Customer Enablement · Develop analytical solutions, prototypes, and business insights when customer needs can be met effectively without extensive engineering investment. · Support rapid proof-of-concept and learning-stage work while establishing a clear pathway for solutions that require enterprise-scale operationalization. · Prepare documentation, training, and knowledge-transfer materials that enable customers to adopt and use data products, integrated solutions, and automated workflows effectively. Automation of the Analyst Function · Use AI, metadata, workflow, and reusable analytical patterns to improve requiremen