✦ Luna Orbit — Data & Analytics

Lead Marketing Science Engagement Analyst

at Albertsons

📍 Pleasanton, CA, United States Onsite Posted April 15, 2026
Type Not Specified
Experience lead
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role leads the Marketing Science Engagement team, providing analytics and measurement expertise to support pre-campaign audience targeting and holistic campaign performance. You will manage reporting and measurement projects end-to-end, mentor analysts, and translate data into actionable recommendations for client success and media teams.

  • Manage end-to-end Reporting & Measurement projects
  • Ensure incrementality, attribution, and ROI analysis methodologies align with standards
  • Lead and mentor analysts; set priorities and review deliverables for quality
  • Own end-to-end analytics process across campaign lifecycle including data QA
  • Serve as measurement subject-matter expert in client meetings and present actionable insights

The technical scope includes A/B testing, experimental design, regression modeling, and causal inference, with methodology alignment across incrementality, attribution, and ROI analysis. The work uses SQL, Excel, Python or R, and BI tools such as Tableau, Looker, or Power BI, along with rigorous data QA during the campaign lifecycle.

The ideal candidate is a lead-level analytics professional skilled in marketing science measurement, with strong experience in incrementality, attribution, and ROI analysis. They are proficient in SQL, Excel, and at least one of Python or R, and they can lead analyst teams while delivering client-ready A/B testing, regression modeling, and causal inference insights.

Manage and execute end-to-end Reporting & Measurement projectsdata collectionanalysisand insight generationEnsure methodologies align with company standards and industry best practices in incrementalityattributionand ROI analysisProficiency in A/B testingexperimental designregression modelingand causal inferenceStrong SQL and Excel skillsProficiency in Python or RExperience with BI tools such as TableauLookeror Power BIOwn the full end to end analytics process during a campaign lifecycleServe as a measurement subject-matter expert in client meetingsSupport a team of analystssetting priorities and guiding technical workReview deliverables for qualityaccuracyand client readiness
SQLMicrosoft ExcelPythonRTableauLookerPower BIReporting & Measurement projects
end-to-end reporting and measurement projectsincrementalityattributionROI analysisA/B testingexperimental designregression modelingcausal inferenceSQLExcelPythonRTableauLookerPower BIdata QAaudience targeting recommendationsclient analyticsdata collectionanalysisinsight generationteam mentorshipdeliverable review
end-to-end reporting and measurement projectsdata collectionanalysisinsight generationincrementalityattributionROI analysisA/B testingexperimental designregression modelingcausal inferenceSQLExcelPythonRBI tools such as TableauBI tools such as LookerBI tools such as Power BIdata QAanalytics process during a campaign lifecycleaudience targeting recommendationstranslating data into actionable recommendationsdevelop and present insights in visually compelling formatsclient analytics measurement subject-matter expertise
leadershipmentorshipcross-functional partnershipsetting prioritiesguiding technical workensuring skill developmentreview deliverables for quality and accuracyfoster culture of curiositycritical thinkingproblem-solvingclient communicationtranslating data for business leaderspresenting insights
Industry Media
Job Function Lead marketing science measurement and analytics engagement for client-facing campaign performance insights.
Role Subtype Data Analyst
Tech Domains SQL / PostgreSQL, Python, Tableau, Power BI, Data & Analytics
Lead Marketing Science Engagement AnalystMarketing Science EngagementMarSci Engagement teamClient SuccessMedia teamsAlbertsons Media CollectiveReporting & Measurementmeasurement subject-matter expertend-to-end analytics processcampaign lifecyclepre-campaign audience targeting recommendationsdata QAincrementalityattributionROI analysisA/B testingexperimental designregression modelingcausal inferenceSQLExcelPythonRTableauLookerPower BIvisually compellingactionable insights and recommendationsclient readinessanalyst mentorshipdata collectionanalysisinsight generation

Proficiency in A/B testing, experimental design, regression modeling, and causal inference, Strong SQL and Excel skills, Proficiency in Python or R, Experience with BI tools such as Tableau, Looker, or Power BI, Ability to lead and mentor analysts with responsibility for deliverable quality and client readiness

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