Upside

Principal Analyst, Marketing Measurement & Effectiveness

Upside

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York

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Salary

💰 $209,000 - $225,000 per year

Job Level

Lead

Tech Stack

PythonSQL

About the role

  • Lead Marketing Measurement Methodology: Architect and own our marketing measurement stack, including multi-touch attribution, media mix modeling (MMM), Bayesian approaches to incrementality testing (geo holdouts, lift studies), and attribution modeling.
  • Turn Analysis Into Influence: Distill complex models into executive-ready presentations with a clear point of view, well-structured narrative, and actionable recommendations.
  • Experimentation & Causal Inference: Partner with marketing teams to design and run statistically rigorous experiments, ensuring minimum detectable effect thresholds and robust test design.
  • Retention & LTV Analytics: Build cohorting and churn risk models that inform CRM strategy and help maximize long-term value from our customer base.
  • Privacy-Resilient Measurement: Adapt frameworks for a privacy-first world, incorporating probabilistic attribution and server-side measurement.
  • Cross-Functional Collaboration: Work with Engineering, Data, and MarTech teams to ensure clean, reliable, and real-time data flows for all marketing and measurement needs.
  • Team Development and Mentorship: Mentor and guide junior data analysts to build team capabilities and foster a culture of analytical rigor and best practices in marketing measurement.

Requirements

  • 8+ years in marketing analytics, measurement, or effectiveness roles, with proven expertise in MMM, attribution, incrementality, time-series forecasting and causal inference
  • Deep understanding of mobile app marketing and privacy regulations with proven ability of designing measurement approaches that remain resilient amid data signal loss (e.g., ATT, cookie deprecation).
  • Expert communicator with an ability to simplify complex findings for diverse audiences, from technical peers to executives, through both oral delivery and compelling written narratives
  • Critical thinker that can evaluate multiple solutions, foresee implications, and connect disparate data points into a cohesive recommendation
  • Meticulous attention to detail — ensures modeling accuracy, data integrity, and presentation quality in every deliverable
  • Growth mindset — embraces new ideas, adapts to changing technology and privacy environments, and actively seeks opportunities to learn and improve
  • Strong statistical modeling skills in Python or R
  • Experience partnering across Growth, Brand, Finance, Product, and Engineering
  • Familiarity with data visualization (Looker, Hex) and expert knowledge in SQL