Business Analytics Advisor, Learning & Knowledge Management Analytics

The Cigna Group

. Deliver analytics, trusted data, and lightweight digital solutions for Learning & Knowledge Management .

Posted 9/23/2026full-timeUnited StatesMid-LevelSenior💰 $98,200 - $163,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, business intelligence, and ETL processes, with strong proficiency in SQL and Python for data preparation and automation. Capable of delivering actionable insights through effective communication and visualization while adhering to data quality and governance standards.

Highest-signal resume keywords

Strong SQL SkillsPython Scripting ExperienceETL Process DevelopmentBusiness Intelligence Tools (Tableau, Power BI)Data Analytics Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsBusiness IntelligenceETL ProcessesSQLPythonData ValidationData PreparationData ModelingData Quality MonitoringStatistical Analysis

Soft Skills

Analytical SkillsProblem-Solving SkillsWritten CommunicationVerbal CommunicationCollaboration

Tools & Technologies

TableauPower BIDatabricksPySparkStreamlitDashFlaskPower AppsJiraCloud Data Platforms

Industry Keywords

Learning ManagementKnowledge ManagementOperational Performance DataHealthcareInsurancePharmacy Benefit ManagementAgile DeliveryProcess AutomationData GovernanceEnterprise-Scale Databases

Tech Stack

Tools & technologies

CloudETLFlaskPySparkPythonSQLTableau

About the role

Key responsibilities & impact

Deliver analytics, trusted data, and lightweight digital solutions for Learning & Knowledge Management
Analyze learning, readiness, knowledge utilization, adoption, and operational performance data
Combine learning, workforce, quality, knowledge, and operational data to identify trends, drivers, gaps, and opportunities
Connect learning experiences and knowledge usage to outcomes including 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 concise summaries, visualizations, and business 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, scalable reporting, and self-service analytics
Perform validation, reconciliation, testing, and monitoring of data quality
Document source-to-target logic, transformations, metric definitions, dependencies, and limitations
Build and maintain dashboards, recurring reports, and self-service views using business intelligence tools
Build lightweight web applications, forms, and workflow tools to replace manual operational processes
Translate Product Owner requirements into usable solutions with data storage, business rules, validation, and outputs
Prototype, test with end users, and refine solutions based on usability, data quality, and business value
Partner with technology, engineering, security, and platform teams when enterprise integration or production support is required
Participate in planning, refinement, testing, demonstrations, and releases using Agile delivery
Explain technical choices, data limitations, and analytical results in straightforward 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 Tableau, Power BI, or another business intelligence or visualization platform
Strong analytical and problem-solving skills
Excellent written and verbal communication skills
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 or similar work management tools preferred
Candidates working from home must use cable broadband or fiber optic internet with at least 10Mbps download and 5Mbps upload

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 requirement with at least 10Mbps download/5Mbps upload for home working