Lead Data Analyst - DataOps

The Cigna Group

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

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, business analysis, and translating business needs into functional requirements. Proficient in developing analytical solutions and supporting workflow automation and AI-enabled capabilities.

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 Requirements DevelopmentBusiness Rules DocumentationAcceptance Criteria DefinitionData ProfilingAnalytical Solutions DevelopmentTesting and ValidationData Governance PracticesEnterprise Data ArchitectureIntegration Patterns

Soft Skills

Customer EngagementCommunicationFacilitationProblem-SolvingStakeholder Management

Tools & Technologies

DatabricksEnterprise Analytical ToolsWorkflow Automation PlatformsLow-Code SolutionsProcess Mining

Industry Keywords

HealthcareInsuranceRegulated EnterprisesAI-Enabled SolutionsMetadata Management

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

Partner with business stakeholders to understand objectives, operational processes, decision-making needs, desired outcomes, and data usage
Facilitate discovery sessions, requirements workshops, and stakeholder interviews
Translate customer needs into functional requirements, business rules, acceptance criteria, and value measures
Document business context, intended use, process requirements, and expected outcomes
Perform data discovery, profiling, and analysis to assess quality, completeness, metadata, usability, and fitness for purpose
Define business semantics, data definitions, transformation logic, source-to-target mappings, data relationships, and readiness criteria
Develop functional and data requirements
Partner with Data Operations and Data Engineering on solution design and delivery
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 processes for workflow improvement, 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 enterprise-scale operationalization
Prepare documentation, training, and knowledge-transfer materials
Use AI, metadata, workflow, and reusable analytical patterns to improve analyst processes
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
Strong customer engagement, communication, facilitation, problem-solving, and stakeholder management skills
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 obtained through cable broadband or fiber optic service with speeds of at least 10Mbps download/5Mbps upload when working from home

Benefits

Comp & perks

Annual bonus plan eligibility
Medical benefits
Vision benefits
Dental benefits
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
Cable broadband or fiber optic internet service with at least 10Mbps download/5Mbps upload for home working