Senior Business Data Analyst - Pharmacy Benefit Management (PBM) - Hybrid

Cigna

Remote Hybrid

Quick summary

Work type
Remote
Location
Morris Plains, NJ
Salary
$112,800–$188,000 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k
This role $150k
$101k most similar roles pay here $222k

This role pays less than 55% of similar roles. Most pay $129,700–$210,600 — the shaded band above. At the midpoint, this role pays about $150k versus about $170k for comparable roles.

Based on 239 similar postings.

Employer

About Cigna

The Cigna Group is a global health company, rebranded in 2023, that serves over 185 million customer relationships across 30+ countries.

Cigna currently has 42 open roles on FindRole.

Listed pay typically runs $135,298–$211,400 across 16 roles with salary data.

Most-posted roles

View all roles at Cigna

At a glance

TL;DR · Senior Business Data Analyst - Pharmacy Benefit Management (PBM) - Hybrid

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As a Senior Business Analytics Advisor in Market Analytics, you will join a dynamic team to design and deliver secure, scalable data solutions that meet critical business, legal, and regulatory needs. Your day-to-day responsibilities include building cloud-native data pipelines, creating auditable data extracts for high-risk use cases, and maintaining robust ELT/ETL workflows across enterprise platforms. You will collaborate closely with Legal, Market Analytics, Enterprise Technology, and Data Engineering teams to translate complex requirements into reliable technical solutions while establishing best practices in data engineering. The role requires extensive experience with Teradata, Python, SQL, Databricks, and cloud-based analytics platforms, along with a deep understanding of data governance and security standards. This position is ideal for someone with prior PBM/PBS experience who can operate independently on complex initiatives and communicate effectively across technical and non-technical teams in a regulated environment.

Skills

Python SQL Databricks Teradata Cloud-based analytics platforms Data governance Data quality Lineage Documentation CI/CD Kubernetes AWS Azure GCP Terraform ELT ETL Monitoring Security Compliance Regulatory requirements

What you'll do

  • Design and deliver secure, scalable data pipelines for complex business and regulatory needs.
  • Engineer auditable data extracts to support high-risk legal and compliance use cases.
  • Build and maintain ELT/ETL workflows on enterprise and cloud analytics platforms.
  • Establish best practices in data engineering, including automation and governance.
  • Ensure data security and chain-of-custody controls for sensitive datasets.
  • Serve as a senior escalation point for complex data engineering challenges.

What we're looking for

  • At least 10 years of data engineering or analytics experience.
  • Expertise in designing enterprise-scale data solutions.
  • Proficiency with Teradata, Python, SQL, Databricks, and cloud platforms.
  • Experience building secure data pipelines for legal/regulatory needs.
  • Deep understanding of data governance, quality, lineage, and documentation.
  • Ability to operate independently on complex, high-risk initiatives.

Related searches

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