Marketing Data Analytics Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the measurement, forecasting, and optimization of marketing investments across all direct-to-consumer (D2C) marketing channels.

• Oversee the analytical framework for budget allocation, channel performance assessment, and growth forecasting.

• Design, develop, and continuously enhance multi-touch attribution models that encompass the entire customer journey.

• Create and sustain media mix models to quantify the incremental impact of channels, assess saturation curves, and guide budget distribution.

• Manage marketing performance predictions across paid search, paid social, organic, connected TV (CTV), display, affiliate, and emerging channels.

• Execute scenario planning and perform monthly/quarterly re-forecasts.

• Construct and refine lifetime value (LTV) and customer acquisition cost (CAC) models by channel, segment, and cohort.

• Set payback benchmarks and advise on investment decisions based on unit economics.

• Present insights, trade-offs, and recommendations to executive leadership.

• Collaborate with channel managers, finance, product, and data engineering teams on measurement standards, data infrastructure, and go-to-market strategies.

• Work alongside channel owners and data engineering on new launches, reporting requirements, data feeds, and timely performance reporting.

• Conduct cohort and retention analysis to identify channels that generate lasting subscribers.

• Achieve objectives related to first-90-day onboarding, coaching, quality assurance calibration, team trust, and process insight.

⛳️ Requirements

• A minimum of 5 years of experience in marketing analytics, data science, or a related quantitative discipline.

• Strong understanding of digital marketing metrics, attribution models, and experimental methodologies.

• Proven experience in building and interpreting multi-touch attribution models and media mix models in live environments.

• A successful history of forecasting marketing performance across a varied channel mix, including paid search, paid social, organic, CTV, and other channels.

• Extensive background in LTV/CAC modeling, cohort analysis, and unit economics, preferably in subscription, direct-to-consumer (DTC), or performance-driven businesses.

• Advanced SQL skills are required.

• Proficiency in Python or R for statistical modeling is highly preferred.

• Experience with data warehouses such as Snowflake, BigQuery, or Redshift.

• Familiarity with business intelligence tools such as Looker, Tableau, or equivalent.

• Knowledge of attribution and measurement platforms like Google Analytics 4, Adobe Analytics, Mixpanel, Siege, Northbeam, Rockerbox, or similar.

• Ability to translate complex technical analyses into succinct narratives suitable for executive audiences.

• Strong business acumen and capacity to utilize models for decision-making.

• Excellent written and verbal communication skills.

• Willingness to learn new platforms, channels, tools, data structures, and reporting environments.

• Capacity to thrive in a fast-paced, ambiguous environment with changing priorities.

• Commitment to regular, predictable attendance and adherence to standard work schedule requirements.

• Ability to communicate effectively via phone, video, and in-person interactions.

• Capability to lift or move items weighing up to 10-15 pounds.

• Ability to focus on computer screens and perform detailed work for extended periods.

🏝️ Benefits

• Medical, dental, and vision insurance coverage.

• Company-funded short-term disability insurance.

• Company-funded basic life and accidental death & dismemberment (AD&D) insurance.

• 401(k) retirement plan with company matching contributions.

• Paid time off.

• Paid holidays.

• Paid sick leave.

• Paid parental leave.

• Membership plans for LegalShield and IDShield.

• Annual or quarterly bonuses based on both company and individual performance (discretionary and not guaranteed).