Senior Data Analyst - Marketing
New
S
SupabaseSoftware Development
We hire globally. We believe you can do your best work from anywhere.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 6+ years in marketing analytics, data science, or a related role
- Required Skills
- PythonSQLR
Requirements
- 6+ years in marketing analytics, data science, or a related role.
- Advanced proficiency in SQL and at least one statistical programming language (Python or R).
- Deep understanding of marketing attribution, incrementality testing, and media mix modeling.
- Hands-on experience designing, running, and interpreting experiments across digital marketing channels.
- Experience building or working closely with MMM and/or advanced attribution models.
- Strong business acumen and fluency in growth metrics like CAC, LTV, and payback periods.
- Ability to communicate causal nuance and complex technical models to non-technical stakeholders.
- Demonstrated experience using LLMs and AI tooling in an analytical workflow.
- Experience thriving in async, autonomous, and fast-paced environments.
- Experience in BaaS, DevRel, or open source dev tool companies is a plus.
- Familiarity with applied econometrics, time-series modeling, or Bayesian methods is a plus.
Responsibilities
- Own the end-to-end marketing measurement strategy across experimentation, media mix modeling, and attribution for paid and PLG channels.
- Design and run always-on incrementality tests to quantify the causal impact of key channels, campaigns, and tactics.
- Build and maintain media mix models to estimate channel contribution, marginal returns, and optimal budget allocation.
- Translate complex measurement outputs into clear recommendations for pipeline, revenue, and efficiency targets.
- Develop repeatable analysis templates and playbooks to ensure consistent experiment design and readouts.
- Create self-serve analytics tools and metric definitions to enable marketing teams to perform independent analysis.
- Utilize AI tools to accelerate analysis and establish AI-forward practices across the marketing organization.
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