Senior Healthcare Analytics Strategist

Cigna Health and Life Insurance Company

New Jersey

Hybrid

USD 120,000 - 180,000

Full time

7 days ago

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Job summary

The Cigna Group is seeking a Business Analytics Senior Advisor in New Jersey to lead complex healthcare analytics, translate needs into data solutions, and mentor analysts. You will partner across teams to improve operations, affordability, service, and outcomes, presenting actionable insights to senior leaders.

This role emphasizes driving automation, predictive analytics, and robust data governance while working with diverse data sources and stakeholders.

Qualifications

Bachelor's degree in Business, Analytics, Information Systems, Computer Science, Public Health, Healthcare Administration, or a related field, or equivalent relevant professional experience.
Minimum of 10 years of progressively responsible experience in business analytics, healthcare analytics, pharmacy operations, business intelligence, or a related field.
Experience leading complex analytical initiatives and translating business needs into data solutions.
Experience partnering with senior leaders and cross-functional teams to influence decisions.
Advanced SQL experience and experience analyzing large healthcare, pharmacy, claims, operational, or financial datasets.
Experience with dashboards and reporting tools such as Power BI, Tableau, or Advanced Excel.
Experience defining business rules, key performance indicators, analytical methods, and quality-control processes.
Strong communication, stakeholder-management, project-leadership, and mentoring skills.
Professionals returning to the workforce through an established returnship or Encore program are encouraged to apply.
Career breaks will not be viewed as a limitation when the candidate has the required experience and capabilities.

Responsibilities

Lead complex analytics projects from business question through implementation and measurement.
Analyze healthcare, pharmacy, claims, operational, and financial data to identify trends, risks, and improvement opportunities.
Translate business needs into analytical approaches, requirements, key performance indicators, and actionable recommendations.
Develop or oversee dashboards, forecasting models, reports, and decision-support tools.
Present findings and recommendations to senior leaders and nontechnical audiences.
Partner with operations, technology, finance, product, and other teams to deliver analytical solutions.
Establish standards for data quality, validation, documentation, privacy, security, and reproducibility.
Mentor analysts, review analytical work, and create reusable methods, templates, and training materials.
Identify practical opportunities to use automation, predictive analytics, and artificial intelligence.