Remote Data Analytics Lead - Digital Data & AI (Healthcare)

Cigna Health and Life Insurance Company; Morris Plains, Northern (NJ, KY); Hybrid; USD 97,000 - 161,000; Full time

Benefits offered by this job

Health benefits

401(k)

Tuition reimbursement

Paid time off

Paid holidays

Leaves of absence

Job summary

The Cigna Group is seeking a Data Measurement & Reporting Advisor in Morris Plains, NJ to lead high-impact analytics across Evernorth's Digital Data & AI organization. You will design frameworks, partner with data scientists, and guide stakeholders to turn complex questions into clear analytical solutions.

With 7+ years in healthcare analytics, you will use SQL and Python, communicating findings to business and leadership audiences while contributing across the analytics lifecycle and emerging

Qualifications

• 7+ years in advanced analytics or healthcare data
• Experience with large-scale data environments and SQL
• Strong ability to translate analyses into actionable recommendations

Responsibilities

• Lead advanced statistical analyses on large healthcare datasets
• Design analytical frameworks and measurement approaches
• Partner with data scientists, engineers, clinicians, and leaders
• Translate findings into focused recommendations and drive decisions
• Guide solution lifecycle from requirements to implementation

Skills

SQL

Python

Advanced analytics

Communication

Stakeholder management

Education

Bachelor's degree in analytics, statistics, data science, mathematics, healthcare informatics

Tools

Databricks

Teradata

Postgres

Tableau

Power BI

Job description

The Cigna Group is seeking a Data Measurement & Reporting Advisor in Morris Plains, NJ to lead high-impact analytics across Evernorth's Digital Data & AI organization. You will design frameworks, partner with data scientists, and guide stakeholders to turn complex questions into clear analytical solutions.

With 7+ years in healthcare analytics, you will use SQL and Python, communicating findings to business and leadership audiences while contributing across the analytics lifecycle and emerging