Manager, Analytics

Rain

. Analyze marketing data to provide actionable insights and optimization for client business objectives .

Posted 9/17/2026full-timeRemote • United StatesMid-LevelSenior💰 $100,000 - $128,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in marketing analytics, including the ability to analyze data, develop measurement plans, and optimize client business objectives. Proficient in using advanced analytics tools and methodologies to provide actionable insights and support decision-making.

Highest-signal resume keywords

Marketing AnalyticsMicrosoft Excel MasteryGoogle AnalyticsDashboard Software MasteryStatistical Programming in R, SQL, or Python

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Marketing AnalyticsData AnalysisMeasurement PlansCampaign Performance DashboardsStatistical Programming in RStatistical Programming in SQLStatistical Programming in PythonDigital AnalyticsOffline AnalyticsData Integrity

Soft Skills

MentoringCollaborationCommunicationProblem-SolvingLeadership

Tools & Technologies

Google AnalyticsAdobe AnalyticsAdverityPowerBITableauGoogle AdsBingAI-Enabled ToolsAutomation ToolsSocial Media Analytics

Industry Keywords

Digital Media OptimizationPredictive ModelingIncrementality ExperimentsACRSpike AttributionMMMCampaign AnalysisTest and Learn PlansData AnomaliesReporting Accuracy

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Analyze marketing data to provide actionable insights and optimization for client business objectives
Manage, train, and mentor analysts and actively manage their workload
Support digital and offline media optimization initiatives
Develop measurement plans and methodologies
Design and support Test and Learn Plans and experiments
Design, develop, and update campaign-performance dashboards
Mine granular datasets and explain what happened and why
Produce scorecards, dashboards, ad-hoc reports, and campaign analyses
Recognize and troubleshoot data anomalies and ensure data integrity
Collaborate with Ad Operations on tagging and reporting accuracy
Integrate new tools and monitor industry trends in analytics and predictive modeling
Evaluate and apply AI-enabled tools, automation, and emerging analytics approaches
Lead improvement projects and beta test tools internally and with clients
Translate agency and client needs into analytics requirements and deliverables
Support new business pitches with analytics strategy, measurement approaches, and test-and-learn recommendations
Collaborate with account teams, media planners, internal teams, and clients
Present findings, recommendations, and performance narratives
Understand client marketing goals and translate them into optimization and analysis techniques
Cross-train team members and share findings, tools, and code
Build direct reports’ ability to work independently

Requirements

What you’ll need

Bachelor's degree in a quantitative field (Mathematics, statistics), Business/Marketing or Computer Science OR an equivalent combination of education and experience
4+ years’ experience providing marketing analytics support and solutions
Experience with digital and offline analytics and reporting
Mastery of Microsoft Excel
Intimate knowledge of web analytics tools such as Google Analytics and Adobe Analytics
Experience analyzing paid/organic social data and reporting on Facebook/Instagram, Twitter, and LinkedIn
Experience with SEM platforms such as Google Ads and Bing
Experience with Linear & CTV data and measurement methodologies, including ACR, spike attribution, incrementality experiments, and MMM
Dashboard software mastery using Adverity, PowerBI, or Tableau
Experience using AI-enabled tools or automation to support analytics workflows, reporting QA, insight generation, or operational efficiency
Proficient statistical programming skills in R, SQL, or Python

Benefits

Comp & perks

Medical, Dental, and Vision insurance
Quarterly profit-sharing program
401(K) plan with employer match and immediate eligibility
4–6 weeks PTO
12 paid holidays
12–18 weeks paid family and medical leave
Monthly Work-From-Home allowance
Flexible First work environment
Investment in employees, technology, and tools
Virtual and in-person connection opportunities