Business Analytics Advisor, Learning & Knowledge Management Analytics

The Cigna Group

. Leverage data to answer business questions related to learning, readiness, knowledge utilization, adoption, and operational performance .

Posted 9/24/2026full-timeUnited StatesMid-LevelSenior💰 $98,200 - $163,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, SQL, and Python for data preparation and automation, with a strong focus on building ETL processes and analytics-ready datasets. Capable of translating complex data insights into clear business recommendations and visualizations.

Highest-signal resume keywords

SQL SkillsPython ScriptingETL Process DevelopmentData Visualization (Tableau, Power BI)Data Analytics Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsSQLPythonETL ProcessesData ValidationData PreparationData ModelingData Quality MonitoringData TransformationBusiness Intelligence

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsCollaborationDocumentation

Tools & Technologies

TableauPower BIDatabricksPySparkStreamlitDashFlaskPower AppsJiraCloud Data Platforms

Industry Keywords

Learning ManagementKnowledge ManagementOperational PerformanceHealthcareInsurancePharmacy Benefit ManagementAgile Delivery ModelsData GovernanceProcess AutomationContact Center Data

Tech Stack

Tools & technologies

CloudETLFlaskPySparkPythonSQLTableau

About the role

Key responsibilities & impact

Leverage data to answer business questions related to learning, readiness, knowledge utilization, adoption, and operational performance
Combine learning, workforce, quality, knowledge, and operational data to identify trends, drivers, gaps, and opportunities
Analyze connections between learning experiences, knowledge usage, and outcomes such as proficiency, quality, customer experience, handle time, and escalation behavior
Define, calculate, validate, and document metrics for learner journeys, cohort comparisons, readiness milestones, trainer effectiveness, and learning ROI
Communicate findings through summaries, visualizations, and recommendations
Design, build, and maintain repeatable data ingestion and ETL processes
Use SQL and Python or similar scripting tools to clean, transform, join, and prepare data
Create reusable datasets and data models for consistent metrics and scalable reporting
Perform validation, reconciliation, testing, and monitoring of data quality
Document source-to-target logic, transformations, metric definitions, dependencies, and limitations
Design, build, and maintain dashboards, recurring reporting, and self-service views
Create views of learner profiles, learning journeys, readiness milestones, knowledge-to-performance impact, and technology adoption
Convert recurring ad hoc needs into standardized datasets, queries, or automated solutions
Enhance existing solutions for clarity, usability, performance, and maintainability
Build and maintain lightweight web applications, forms, or workflow tools replacing manual processes
Translate Product Owner requirements into usable solutions with data storage, business rules, validation, and output
Prototype, test with end users, and refine solutions
Identify manual activity for standardization, automation, or digitization
Partner with technology, engineering, security, and platform teams on enterprise integration and production support
Collaborate with Product Owner, Learning, Knowledge Management, Operational Excellence, Operations, and analytics partners
Participate in Agile planning, refinement, testing, demonstrations, and release activities
Explain technical choices, data limitations, and analytical results in business language
Balance speed and practicality with security, governance, data quality, and maintainability standards

Requirements

What you’ll need

Bachelor’s degree in analytics, statistics, mathematics, economics, computer science, information systems, business, or a related field preferred, or equivalent relevant experience
Three or more years of relevant experience in data analytics, business intelligence, data engineering, process automation, or a related discipline
Strong SQL skills, including joins, common table expressions, subqueries, aggregations, and data validation
Experience using Python or another scripting language for data preparation, automation, or application development
Experience building or supporting ETL processes, repeatable data pipelines, and analytics-ready datasets
Experience with a business intelligence or visualization platform such as Tableau or Power BI
Strong analytical and problem-solving skills
Ability to explain complex data clearly
Excellent written and verbal communication skills
Preferred: experience with Databricks, PySpark, cloud data platforms, or enterprise-scale databases
Preferred: familiarity with APIs, version control, testing practices, and deployment or release processes
Preferred: experience with learning management, knowledge management, workforce, quality, contact center, or operational performance data
Preferred: experience building lightweight internal web applications, forms, or workflow solutions using Streamlit, Dash, Flask, Power Apps, or comparable tools
Preferred: experience in healthcare, insurance, pharmacy benefit management, or another regulated environment
Preferred: familiarity with Agile delivery models and Jira
For home working, cable broadband or fiber optic internet service with at least 10Mbps download/5Mbps upload

Benefits

Comp & perks

Annual bonus plan eligibility
Medical, vision, and dental benefits starting on day one
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
Remote work opportunity
Cable broadband or fiber internet requirement for home working