✦ Luna Orbit — Data & Analytics

Expert Customer Data Analyst

at PG&E

📍 Oakland, CA, US, 94612 Hybrid Posted March 14, 2026
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Position Details

Type Full-Time
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

About this role

This role involves executing customer data analytics initiatives, collaborating with business partners to deliver insights, and supporting marketing and research teams with data-driven solutions.

Key Responsibilities

  • Collaborate with partners to identify needs
  • Develop customer segmentation models
  • Design and manage data pipelines
  • Create visual reports for stakeholders
  • Support campaign analysis and reporting

Technical Overview

The technical environment includes SQL, data visualization tools, and qualitative and quantitative research methodologies to analyze customer touchpoints and campaign effectiveness.

Ideal Candidate

The ideal candidate is a mid-level data analyst with 3+ years of experience in customer data analytics, proficient in SQL and data visualization tools, with strong communication skills and the ability to collaborate across teams.

Must-Have Skills

Data AnalyticsCustomer SegmentationData PipelineData Visualization

Nice-to-Have Skills

Journey MappingQualitative ResearchQuantitative ResearchCampaign Effectiveness

Tools & Platforms

SQLData Visualization tools

Required Skills

Data AnalyticsCustomer SegmentationSQLData VisualizationData PipelineQualitative ResearchQuantitative Research

Hard Skills

Data AnalyticsCustomer SegmentationCampaign AnalysisData PipelineSQLData VisualizationQualitative ResearchQuantitative Research

Soft Skills

CommunicationCollaborationProblem-solvingPresentationTeamwork

Industry & Role

Industry Energy
Job Function Perform customer data analysis and reporting to improve customer experience and marketing effectiveness
Role Subtype Data Analyst
Tech Domains SQL, Data Visualization

Keywords for Your Resume

Data AnalystCustomer Data AnalyticsSQLData VisualizationCustomer SegmentationCampaign AnalysisData PipelineQualitative ResearchQuantitative ResearchHybridData AnalyticsCustomer SuccessBusiness InsightsData ReportingData-driven solutionsData analytics

Deal Breakers

Lack of experience with data pipeline development, No proficiency in SQL or data visualization tools, Unwillingness to work in a hybrid environment

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