Lead Data Analyst

The Cigna Group

. Partner with business stakeholders to understand objectives, operational processes, decision-making needs, and desired outcomes .

Posted 10/9/2026full-timeRemote • United StatesSenior💰 $82,200 - $137,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, business analysis, and translating business needs into functional requirements. Proficient in developing analytical solutions and supporting business process automation within complex, regulated environments.

Highest-signal resume keywords

Data AnalysisBusiness AnalysisSQL ProficiencyData Quality AssessmentWorkflow Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data DiscoveryFunctional RequirementsBusiness RulesAcceptance CriteriaData ProfilingAnalytical SolutionsTesting ApproachesData SpecificationsData GovernanceEnterprise Data Architecture

Soft Skills

Stakeholder EngagementFacilitationCommunicationCollaborationProblem-Solving

Tools & Technologies

DatabricksEnterprise Analytical ToolsWorkflow Automation PlatformsLow-Code SolutionsAI-Enabled Capabilities

Industry Keywords

HealthcareInsuranceRegulated EnterprisesData ProductsMetadata Management

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

Partner with business stakeholders to understand objectives, operational processes, decision-making needs, and desired outcomes
Facilitate discovery sessions, requirements workshops, and stakeholder interviews
Translate customer needs into functional requirements, business rules, acceptance criteria, and value measures
Perform data discovery, profiling, and analysis to evaluate quality, completeness, metadata, usability, and fitness for purpose
Define business semantics, data definitions, transformation logic, source-to-target mappings, data relationships, and readiness criteria
Partner with Data Operations and Data Engineering to ensure solutions reflect business intent and support reuse
Develop analytical datasets, reusable data assets, and Gold layer data solutions
Develop and execute functional testing, test cases, and business acceptance validation
Coordinate customer feedback, user acceptance testing, adoption, and transition activities
Assess business processes for workflow improvement, process simplification, and operational efficiency
Identify opportunities for data, workflow automation, AI, and integrated solutions
Develop analytical solutions, prototypes, and business insights
Support proof-of-concept and learning-stage work and pathways to enterprise-scale operationalization
Prepare documentation, training, and knowledge-transfer materials
Use AI, metadata, workflow, and reusable analytical patterns to improve requirements discovery, profiling, documentation, testing, and traceability
Develop reusable templates, requirements assets, testing approaches, and documentation standards

Requirements

What you’ll need

5+ years of experience in data analysis, business analysis, data products, analytics consulting, or enterprise solution delivery
Experience gathering and translating business needs and operational processes into functional requirements, business rules, acceptance criteria, and data specifications
Experience with data discovery, profiling, data quality assessment, testing, business validation, and solution adoption
Proficiency with SQL, data analysis techniques, and enterprise analytical tools
Experience working with cross-functional business, product, technology, and data teams
Experience supporting business process automation, workflow solutions, or AI-enabled capabilities
Understanding of enterprise data platforms, integration patterns, analytics, AI, metadata, and automation technologies
Experience in complex, regulated enterprises preferred
Experience with Databricks or comparable cloud data platforms and data product development initiatives preferred
Experience with workflow automation platforms, low-code solutions, process mining, or AI-enabled business solutions preferred
Knowledge of metadata management, data governance practices, and enterprise data architecture concepts preferred
Experience in healthcare, insurance, or another highly regulated industry preferred
Home internet connection through cable broadband or fiber optic service with at least 10 Mbps download/5 Mbps upload if working from home

Benefits

Comp & perks

Annual bonus plan eligibility
Medical insurance
Vision insurance
Dental insurance
Well-being and behavioral health programs
401(k)
Company-paid life insurance
Tuition reimbursement
Minimum of 18 days of paid time off per year
Paid holidays
Leaves of absence