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

Cigna

$112K — $188K *
Healthcare
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Minimum of 10 years in data engineering or advanced analytics roles.
  • Expertise in designing enterprise-scale data solutions.
  • Proficient in Teradata, Python, SQL, Databricks, and cloud analytics.
  • Experience with PBM/PBS preferred.
  • Ability to create secure, auditable data pipelines for compliance needs.
  • Strong understanding of data governance and documentation practices.
  • Excellent communicator, capable of bridging technical and non-technical teams.

Responsibilities

  • Design and implement cloud-native data pipelines supporting business and regulatory needs.
  • Engineer auditable data extracts for legal and compliance use.
  • Create and maintain scalable ELT and ETL workflows for large-scale processing.
  • Collaborate with cross-functional teams to meet complex data requirements.
  • Establish best practices in data engineering including automation and governance.
  • Ensure security and compliance controls for sensitive datasets.
  • Act as a key escalation point for data engineering and platform issues.
  • Contribute to enterprise data modernization and migration efforts.

Benefits

  • Comprehensive health benefits from day one, including medical, vision, and dental.
  • 401(k) with company contributions.
  • Tuition reimbursement for continued education.
  • Minimum of 18 days paid time off annually plus paid holidays.
  • Life insurance and additional wellness programs.
Full Job Description

Senior Business Analytics Advisor 6 Market Analytics

Are you energized by solving complex, highadimpact data challenges in regulated environments? As a Senior Business Analytics Advisor, you will design and deliver scalable, secure, and productionadready data solutions that support critical business, legal, and regulatory needs across Market Analytics. Operating with high autonomy and deep technical judgment, you will serve as a trusted bridge between analytics, legal partners, and enterprise technologyadadbringinga0clarity, rigor, and innovation to complex data delivery.a0

Responsibilitiesa0

 Design and deliver enterpriseadscale, cloudadnative data pipelines and curated datasets that support complex business, legal, and regulatory requirements.a0

 Engineer secure, auditable, and defensible data extracts to support highadrisk legal, litigation, and compliance use cases.a0

 Build anda0maintaina0scalable ELT and ETL workflows across enterprise and cloud analytics platforms to support batch and largeadscale processing.a0

 Partner closely with Legal, Market Analytics, Enterprise Technology, and Data Engineering teams to translate complex data requests into reliable technical solutions.a0

a0Establisha0and champion best practices in data engineering, including automation, testing, monitoring, documentation, and governance.a0

 Ensurea0appropriate dataa0security, lineage, retention, and chainadofadcustody controls for sensitive legal and regulatory datasets.a0

 Act as a senior escalation point for complex data engineering, platform, and riskadrelated challenges.a0

 Contribute to enterprise data modernization initiatives, including migration from legacy platforms to cloudadbased analytics environments.a0

 Lead through influence by setting standards, improving processes, and enabling repeatable, productionadready data frameworks.a0

 Provide informal mentorship and technical guidance to analysts and partner teams as needed.a0

Qualificationsa0

Requireda0

 Minimum of 10 years of experience in data engineering, analytics engineering, or advanced analytics roles.a0

 Extensive experience designing and delivering enterpriseadscale data solutions.a0

 Strong handsadonad expertisea0with Teradata, Python, SQL, Databricks, and cloudadbased analytics platforms.a0

Prior PBM/PBS experience and/or knowledge

 Proven experience building secure, auditable data pipelines supporting legal, regulatory, or compliance requirements.a0

 Deep understanding of data governance, data quality, lineage, and documentation practices.a0

 Ability toa0operatea0independently on complex, ambiguous, and highadrisk initiatives.a0

a0Strong communicationa0skills with the ability to partner effectively across technical and nonadtechnical teams.a0

Preferreda0

 Bachelors degree or equivalent practical experience in Analytics, Computer Science, Engineering, Mathematics, ora0a relateda0field.a0

 Background in healthcare, PBM, insurance, or other regulated industries.a0

 Experience modernizing legacy analytics or reporting platforms.a0

 Familiarity with enterprise cloud architecture and data security standards.a0


If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

For this position, we anticipate offering an annual salary of 112,800 - 188,000 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.

At The Cigna Group, youll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, youll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here.

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