Business/Data Analyst – Training & Certification

Red Hat

. Establish regular touchpoints with internal stakeholders to understand learning progress and identify adoption challenges .

Posted 9/17/2026full-timeBangalore • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics and business analysis, utilizing SQL, Python, and machine learning to develop scalable data solutions and enhance customer engagement strategies. Strong ability to communicate insights and collaborate with stakeholders to drive data-driven decision-making.

Highest-signal resume keywords

Data AnalyticsSQL ProficiencyPython ProgrammingMachine Learning TechniquesStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical AnalysisData IntegrationAnalytical ModelingAutomated ReportingDashboard DevelopmentKPI DefinitionData VisualizationCustomer Success AnalyticsBusiness Analysis

Soft Skills

Excellent CommunicationProblem-SolvingCollaborationIndependenceAdaptability

Industry Keywords

Customer EngagementLearning ConsumptionSubscription HealthRenewal StrategiesBusiness Requirements

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Establish regular touchpoints with internal stakeholders to understand learning progress and identify adoption challenges
Maximize the value of Red Hat Learning Subscription (RHLS) subscriptions and communicate key findings to stakeholders
Collect, integrate, and analyze data from multiple internal sources
Develop a comprehensive view of customer engagement, learning consumption, subscription health, and renewal readiness
Build and maintain analytical models, reports, dashboards, and automated monitoring mechanisms
Provide leadership and regional teams with visibility into consumption patterns, engagement trends, and key business metrics
Partner with sales teams, RH data teams, and other internal functions to gather inputs and business requirements
Translate business requirements into data and analytics solutions
Implement initiatives that improve learning consumption
Use SQL, Python, and machine learning techniques to integrate data sources and build scalable data solutions
Analyze consumption and usage data to identify trends, customer segments, opportunities, risks, and areas for improvement
Develop and execute proactive customer engagement and renewal strategies
Define and document business requirements, KPIs, and success measures
Collaborate with technical and data teams to enhance data sources, reporting systems, processes, and analytical capabilities
Communicate and collaborate effectively with stakeholders and leaders

Requirements

What you’ll need

5+ years of experience in data analytics, data science, business analysis, customer success analytics, or a related field
Proficiency in SQL, Python, statistical analysis, and machine learning
Experience integrating multiple data sources, building scalable data solutions, analytical models, and automated reporting capabilities
Strong reporting and data visualization skills
Ability to independently build accurate dashboards, reports, KPIs, and monitoring solutions
Strong business analysis and stakeholder management skills
Experience gathering requirements, defining KPIs, translating business needs into data solutions, and collaborating with sales, regional, data, and cross-functional teams
Excellent communication and problem-solving skills
Ability to work independently in fast-paced environments

Benefits

Comp & perks

Flexible work environments, from in-office to office-flex to fully remote, depending on role requirements
Equal opportunity workplace and affirmative action employer
Reasonable accommodations for job applicants with disabilities