Marketing Data Analytics Manager

PPLSI

. Lead measurement, forecasting, and optimization of marketing investment across all D2C marketing channels .

Posted 10/5/2026full-timeRemote • United StatesMid-LevelSenior💰 $120,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in marketing analytics, including multi-touch attribution and media mix modeling, to drive data-informed investment decisions. Proficient in advanced SQL and statistical modeling using Python or R, with a strong ability to communicate complex analyses to executive leadership.

Highest-signal resume keywords

Marketing Analytics ExperienceMulti-Touch Attribution ModelingLTV/CAC ModelingAdvanced SQL ProficiencyData Warehouse Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Marketing AnalyticsMulti-Touch Attribution ModelsMedia Mix ModelsLTV ModelingCAC ModelingCohort AnalysisStatistical ModelingForecastingDigital Marketing MetricsExperimentation Methods

Soft Skills

Excellent Communication SkillsStrong Business AcumenAbility to Work in Fast-Paced EnvironmentsAnalytical ThinkingTeam Collaboration

Tools & Technologies

SQLPythonRSnowflakeBigQueryRedshiftLookerTableauGoogle Analytics 4Adobe Analytics

Industry Keywords

D2C MarketingPerformance-Driven BusinessData InfrastructureInvestment DecisionsChannel Performance Evaluation

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryPythonSQLTableau

About the role

Key responsibilities & impact

Lead measurement, forecasting, and optimization of marketing investment across all D2C marketing channels
Own analytical infrastructure for spend allocation, channel performance evaluation, and growth projections
Design, build, and continuously improve multi-touch attribution models across the full customer journey
Develop and maintain media mix models to quantify incremental channel impact, evaluate saturation curves, and inform budget allocation
Own marketing performance forecasting across paid search, paid social, organic, CTV, display, affiliate, and emerging channels
Conduct scenario planning and monthly/quarterly re-forecasts
Build and evolve LTV and CAC models by channel, segment, and cohort
Establish payback benchmarks and inform investment decisions through unit economics
Present findings, trade-offs, and recommendations to executive leadership
Partner with channel managers, finance, product, and data engineering on measurement standards, data infrastructure, and go-to-market strategy
Collaborate with channel owners and data engineering on new launches, reporting needs, data feeds, and timely performance reporting
Run cohort and retention analysis to identify channels that bring in durable subscribers
Meet first-90-day onboarding, coaching, QA calibration, team-trust, and process-insight objectives

Requirements

What you’ll need

5+ years of experience in marketing analytics, data science, or a related quantitative field
Strong grasp of digital marketing metrics, attribution models, and experimentation methods
Demonstrated expertise building and interpreting multi-touch attribution models and media mix models in production environments
Proven track record forecasting marketing performance across a diverse channel mix, including paid search, paid social, organic, CTV, and other channels
Deep experience with LTV/CAC modeling, cohort analysis, and unit economics, ideally in a subscription, DTC, or performance-driven business
Advanced SQL required
Proficiency in Python or R for statistical modeling strongly preferred
Experience with data warehouses such as Snowflake, BigQuery, or Redshift
Experience with BI tools such as Looker, Tableau, or equivalent
Familiarity with attribution and measurement platforms such as Google Analytics 4, Adobe Analytics, Mixpanel, Siege, Northbeam, Rockerbox, or similar
Ability to distill complex technical analyses into concise narratives for executive audiences
Strong business acumen and ability to use models to inform decisions
Excellent written and verbal communication skills
Ability to learn new platforms, channels, tools, data structures, and reporting environments
Ability to work in a fast-paced, ambiguous environment with shifting priorities
Ability to maintain regular, predictable attendance and meet standard work schedule requirements
Ability to communicate clearly via phone, video, and in person
Ability to lift or move up to 10–15 pounds
Ability to view computer screens and perform detailed work for extended periods

Benefits

Comp & perks

Medical, dental, and vision coverage
Company-paid short-term disability insurance
Company-paid basic life and AD&D insurance
401(k) retirement plan with company match
Paid time off
Paid holidays
Paid sick leave
Paid parental leave
LegalShield and IDShield membership plans
Annual or quarterly bonus based on company and individual performance (discretionary and not guaranteed)