Senior Marketing Analytics Manager – Channel

Risepoint

Senior Marketing Analytics Manager responsible for paid media analytics at Risepoint, an education technology company. Leading data-driven decisions to optimize media investment and improve enrollment outcomes.

Posted 7/22/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in paid media analytics, including advanced SQL and Power BI skills for data visualization and reporting. Capable of translating complex performance metrics into actionable insights and recommendations for marketing leaders.

Highest-signal resume keywords

Paid Media AnalyticsAdvanced SQLPower BI Dashboard DevelopmentFunnel AnalyticsAttribution Analysis

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Channel AnalyticsDigital Marketing AnalyticsPerformance Marketing AnalyticsConversion TrackingSpend EfficiencyCampaign PerformanceData ExtractionData TransformationIncrementality TestingScenario Planning

Soft Skills

Proactive ThinkingCollaborationCommunication

Tools & Technologies

Google AdsMicrosoft AdsMetaDV360MMM

Industry Keywords

Media Mix AnalysisFunnel MeasurementLead QualityApplication ProgressionEnrollment Outcomes

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Own analytical execution for paid media performance, including spend efficiency, CPL, CPA, funnel conversion rates, campaign pacing, lead quality, application progression, acceptance, and enrollment outcomes.
Build and maintain Power BI dashboards and SQL-based reporting assets that connect media spend, platform performance, internal funnel data, MMM/media mix outputs, and enrollment results.
Conduct deep-dive paid media diagnostics across Google Ads, Microsoft Ads, Meta, DV360, branded/nonbranded search, PMax, campaign structure, keywords/search terms, CPC movement, impression share, and competitive/auction dynamics.
Validate and reconcile agency/vendor reporting against media platforms and internal source-of-truth data; identify definition gaps, tracking issues, and unsupported conclusions.
Support experimentation, incrementality measurement, and MMM/media mix evolution through pre/post analyses, holdout comparisons, test/control reads, lift measurement, scenario inputs, and clear documentation of assumptions and limitations.
Build analytical inputs for media investment planning, budget allocation, flighting, and channel mix recommendations in partnership with paid media and marketing leaders.
Create recurring routines and frameworks that proactively surface paid media performance opportunities, risks, investment tradeoffs, and recommended actions, rather than operating only as a request taker.
Partner with Data Science, Data Engineering, Analytics Solution, paid media stakeholders, agency teams, vendors, and media platforms to improve measurement products, data reliability, metric definitions, tracking consistency, and reporting automation.
Translate complex or conflicting paid media performance signals into concise insights, risks, and recommendations for the Sr. Director and senior stakeholders.

Requirements

What you’ll need

6+ years of experience in channel analytics, digital marketing analytics, performance marketing analytics, or a related data-driven marketing environment.
3+ years of hands-on paid media analytics experience, especially paid search, campaign performance, spend efficiency, conversion tracking, and funnel measurement.
Advanced SQL and Power BI skills, including complex data extraction, transformation, dashboard development, and executive-ready performance visualization.
Experience validating media platform, agency/vendor, and internal funnel data; ability to identify tracking, taxonomy, attribution, and conversion-definition issues.
Strong understanding of funnel analytics from impression/click through lead, application, acceptance, and enrollment outcomes.
Experience supporting attribution, MMM inputs, media mix analysis, scenario planning, or incrementality testing; methodology ownership is not required, but the ability to partner effectively with Data Science and vendors is required.
Ability to operate as a proactive thinking partner to paid media teams, translating analytics into recommendations, tradeoffs, and action plans.

Benefits

Comp & perks

Risepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.