Senior Analyst, Marketing Analytics
Remote · California, United States or Arizona, United States
Job Summary
Senior Analyst, Marketing Analytics to support the Growth Marketing analytics team. You will work with channel owners to support measurement across paid media channels (SEM, Paid Social, Display, and CTV), building and maintaining dashboards, writing SQL queries, and keeping measurement infrastructure accurate. Responsibilities include dashboard development and maintenance in Sigma, SQL/dbt model maintenance, martech/measurement operations (pixel configuration, conversion uploads via Hightouch), channel reporting and root-cause analysis, and supporting experimentation (A/B tests and geo-experiments). About you: 3-5 years in marketing analytics, strong SQL, dbt/GitHub, dashboarding in Sigma/Tableau, knowledge of CPC/CPA/ROAS/CAC, familiarity with GTM and Hightouch, attribution concepts, self-directed, and comfortable using AI tools. Benefits include extensive remote flexibility, health benefits, unlimited PTO, parental leave, equity, and other wellness perks. Location requirement: remote with residency in one of Point’s states of operation.
Required Qualifications
- 3-5 years of experience in marketing or media analytics, in a direct-to-consumer performance marketing environment with multi-million dollar monthly budgets
- Strong SQL skills. Comfortable writing and debugging queries independently. Exposure to dbt and GitHub is a must
- Experience building and maintaining dashboards in Sigma, Tableau, or a comparable BI tool
- Solid understanding of paid media channels and the metrics that drive them: CPC, CPA, ROAS, CAC
- Familiarity with martech and measurement tooling: pixel configuration, conversion tracking, and troubleshooting. Experience with Google Tag Manager and/or Hightouch
- Familiarity with attribution concepts; exposure to incrementality testing or Media Mix Modeling is a plus
- Self-directed: comfortable picking up a project and moving it forward with minimal guidance
- Comfortable using AI tools as part of your day-to-day workflow
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