Jobs / United States / Cigna Health And Life Insurance Company

Cigna Health And Life Insurance Company

People Analytics Senior Consultant, Senior Advisor

United States Work at Home Posted today

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LLMsStatisticsPythonSQLLeadership

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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.
  • 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.
  • What Cigna Health And Life Insurance Company paid sponsored hires in similar roles2 certified filings for “Data Science Advisor” (Data Scientists) in CT: $123k–$140k, median $132k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
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. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-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 roles
2 certified filings for “Data Science Advisor” (Data Scientists) in CT: $123k–$140k, median $132k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

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.

About the role

People Analytics Senior Consultant, Sr. Advisor The Role We are seeking an experienced People Analytics Senior Consultant to play a critical role in shaping and delivering our employee listening strategy . This role serves as a trusted advisor to HR and business leaders, partnering closely with stakeholders to design effective listening approaches, develop high-quality surveys and research methodologies, analyze employee feedback, and translate findings into actionable recommendations. The ideal candidate brings expertise in survey methodology, employee research, stakeholder consulting, and analytics while demonstrating the ability to connect employee experience insights to business priorities and outcomes. This individual will work collaboratively across key matrix partners to ensure listening programs are designed with rigor, aligned to organizational needs, and positioned to drive meaningful action. Key Responsibilities Employee Listening Strategy & Consulting • Serve as a strategic advisor to leaders, HR partners, and Centers of Excellence on employee listening best practices, measurement strategies, and employee experience research. • Partner with stakeholders to identify business challenges, define listening objectives, and recommend listening approaches that generate meaningful and actionable feedback. • Consult on the design and implementation of enterprise, pulse, lifecycle, and targeted listening programs aligned to workforce and business priorities. • Guide stakeholders on survey methodology, question design, benchmarking, reporting approaches, and action planning strategies. • Promote best practices that enhance listening effectiveness, reduce survey fatigue, and improve the overall employee experience. Survey Design & Research • Lead the development of employee surveys and listening instruments, ensuring measures are reliable, actionable, and aligned with business objectives. • Design survey content, scales, open-ended questions, and research frameworks that effectively capture employee perceptions and experiences. • Partner with stakeholders to evaluate emerging organizational needs and translate them into meaningful listening strategies and measurement approaches. • Support qualitative listening efforts including focus groups, interviews, crowdsourcing, and other research activities that complement survey findings. • Continuously assess and enhance listening methodologies to ensure relevance, validity, and impact. Analytics & Insight Generation • Analyze quantitative and qualitative employee feedback data to identify trends, opportunities, risks, and key drivers of employee outcomes. • Integrate survey data with other workforce and business data sources to provide a more holistic view of the employee experience. • Develop meaningful narratives and recommendations that help leaders understand employee sentiment and prioritize actions. • Demonstrated experience leveraging AI-enabled analytics tools, prompt engineering techniques, and large language models (LLMs) to accelerate data exploration, insight generation, research synthesis, and workflow efficiency. • Advanced proficiency in one or more statistical programming languages and analytics platforms (e.g., SAS, R, Python, SQL), with experience applying these tools to data preparation, statistical modeling, predictive analytics, and data visualization. • Partner with data science teams to enhance analytical capabilities and measurement approaches. Executive Partnership & Storytelling • Present findings, recommendations, and strategic insights to senior leaders, HR leadership teams, and executive stakeholders. • Translate complex research and analytical findings into clear, compelling, and actionable business narratives. • Facilitate discussion

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