Marketing Data Analyst

BoldinMill Valley, CA
5h$95,000 - $140,000Remote

About The Position

As a Marketing Data Analyst, you will play a crucial role in measuring and analyzing the performance of our marketing initiatives. You will act as the bridge between raw data and strategic marketing action. This position reports directly to the Head of Growth Marketing, with a dotted-line report to the Manager of Data Engineering and Analytics, ensuring alignment between marketing strategy and data rigor. You will be instrumental in tracking key marketing performance indicators to drive data-informed decisions and optimize our growth efforts.

Requirements

  • 2–4 years of experience in data analysis, specifically within a marketing or product growth function.
  • Strong proficiency in SQL is required for querying databases.
  • Experience with data visualization tools (e.g., Tableau, PowerBI, Looker, or Google Data Studio) to create self-service dashboards.
  • Advanced Excel/Google Sheets skills (Pivot tables, VLOOKUPs, index/match).
  • Familiarity with Web Analytics tools (e.g., Google Analytics 4).
  • Familiarity with Product Analytics tools (e.g., Amplitude)
  • Understanding of statistical concepts (statistical significance, confidence intervals) relevant to testing.
  • Strong "data storytelling" abilities—the capability to explain complex data findings to non-technical stakeholders clearly and concisely.

Responsibilities

  • Track, analyze, and report on various marketing performance metrics, including Customer Acquisition Cost (CAC), New Arrivals, Subscriptions, Cancels, and Churns.
  • Develop and maintain the Lifetime Value (LTV) to CAC ratio models to ensure sustainable growth.
  • Monitor full-funnel conversion rates, identifying leakage points from awareness to conversion.
  • Identify trends and provide actionable insights to marketing and leadership teams to improve campaign efficiency and effectiveness.
  • Design and analyze A/B tests (split testing) for landing pages, ad creatives, and email subject lines to scientifically prove what works.
  • Perform cohort analysis to understand retention behaviors and predict future revenue.
  • Collaborate with the Data and Analytics team to ensure data integrity, maintain reporting dashboards, and support data-driven decision-making across the marketing function.
  • Manage the marketing attribution model to correctly assign value to different marketing channels (Paid Search, Social, Organic, Email).
  • Troubleshoot tracking pixel issues and ensure campaign tagging (UTM parameters) is standardized.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service