Jobs / United States / Humana INC
Senior Analytics Consultant
Humana INC · 🇺🇸 52 Locations
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 260 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 130 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 Humana INC paid sponsored hires in similar roles1 certified filing for “SVP, Chief Data & Analytics Officer” (Computer and Information Systems Managers) in MA: $515k–$515k, median $515k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% 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 — Humana INC
The US Department of Labor certified 260 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 130 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 Humana INC →
About the role
Become a part of our caring community The Senior Informaticist coordinates with other analytics, IT and business areas across the organization to ensure work is completed with insights from knowledge SMEs. The Senior Informaticist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Analytics Consultant is a senior individual contributor who serves as a strategic analytics partner to business leaders. This role transforms complex pharmacy, sales, and operational data into actionable insights that inform decisions, improve performance, and drive business outcomes. Sitting at the intersection of business strategy, analytics, and technology, the Senior Analytics Consultant translates ambiguous business questions into analytical approaches, delivers decision-support solutions, and communicates the story behind the data to technical and non-technical audiences. Use your skills to make an impact Key Responsibilities • Lead complex analytical initiatives that support strategic business priorities and operational performance. • Serve as a consultative analytics partner to business leaders, helping define problems, identify opportunities, formulate hypotheses, and develop data-driven recommendations. • Independently lead analytics engagements from intake and discovery through analysis, solution development, stakeholder alignment, and delivery of business outcomes. • Analyze large and complex datasets to identify trends, opportunities, risks, and key performance drivers. • Design and develop meaningful metrics, frameworks, dashboards, and decision-support tools. • Translate analytical findings into clear, actionable recommendations tailored to executive, operational, and technical audiences. • Influence strategic decisions by providing insights that impact growth, profitability, customer outcomes, and operational efficiency. Required Qualifications • Bachelor's degree and 5+ years of analytics experience or Master's degree and 3+ years of analytics experience. • Demonstrated ability to serve as a consultative analytics partner, working directly with business stakeholders to define problems, evaluate opportunities, and deliver actionable recommendations. • Experience leading projects through the full analytics lifecycle, including business intake, discovery, analysis, solution development, communication of insights, and implementation support. • Progressive experience in analytics, business intelligence, informatics, pharmacy analytics, sales analytics, or a related field. • Strong proficiency with SQL, reporting and visualization tools, and analytical methodologies. • Experience communicating insights and recommendations to senior leaders and cross-functional stakeholders. Preferred Qualifications • Advanced degree in Informatics, Analytics, Business Analytics, Healthcare Analytics, Statistics, Computer Science, or a related field. • Experience working with pharmacy, payer, provider, sales, or operational data. • Demonstrated intellectual curiosity and continuous learning with the ability to rapidly learn new business domains and analytical approaches. • Experience using SQL, Power BI, Databricks, Python, or similar tools to support business decision-making. Role Clarification This role is best suited for candidates who are energized by consultative analytics, business problem solving, and decision support. This is an individual contributor role focused on using data to solve high-impact business problems. While the role requires strong SQL skills to query, analyze, and work with large datasets, the primary focus is not pipeline development, infrastructure engineering, or software development. Work at