Senior Data Analyst – Marketing

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🔥 4 hours ago

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Supabase

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

☁️ SaaS

🔌 API

🤖 Artificial Intelligence

💰 $80M Series B on 2022-05

SaaS • API • Artificial Intelligence

Supabase is an open source alternative to Firebase, providing a range of backend tools designed to help developers start and scale their applications effectively. It offers features such as a full Postgres database, authentication with Row Level Security, instant APIs, Edge Functions for custom code, real-time data synchronization, and storage for large files. Developers can integrate machine learning models, utilize RESTful APIs, and take advantage of platform-integrated best of breed products. Supabase is designed to be highly portable, extendable, and user-friendly, making it a powerful choice for startups and enterprises looking to innovate quickly and efficiently.

📋 Description

• Own the end-to-end marketing measurement strategy across experimentation, media mix modeling, and attribution for paid and PLG channels • Establish and evolve the attribution framework combining platform data, multi-touch attribution, MMM, and experiments • Translate measurement outputs into investment, budget, pipeline, revenue, and efficiency recommendations • Educate stakeholders on causality, model uncertainty, and platform-reported metric limitations • Design and run user-level and geo-level incrementality tests • Calculate incremental lift, incrementality percentage, and incremental ROAS/CPA • Build experiment analysis templates and playbooks • Partner with paid search, paid social, lifecycle, website, and SEO channel owners on experimentation roadmaps • Build and maintain media mix models to estimate channel contribution, marginal returns, and optimal budget allocation • Incorporate seasonality, adstock, and saturation effects and validate models through backtesting and experiment reconciliation • Turn MMM insights into channel and regional budget scenarios and forecasts • Build metric definitions, model documentation, and reusable self-serve analytics patterns • Use AI tools to accelerate analysis and establish AI-forward marketing practices • Identify and fix marketing data tracking, spend, and platform-export gaps at their source

🎯 Requirements

• 6+ years of experience in marketing analytics, data science, or a related role • Focus on performance marketing and/or PLG growth • Deep understanding of marketing attribution, incrementality testing, and media mix modeling • Advanced SQL skills • Proficiency in Python or R for experiment analysis and modeling • Experience designing, running, and interpreting digital marketing experiments across search, social, display, email, and in-product channels • Experience building or working closely with MMM and/or advanced attribution models • Strong business acumen and fluency in CAC, LTV, payback period, conversion rates, and funnel performance • Ability to build self-service tools and scalable analytics frameworks • Ability to combine technical and strategic context • Habitual use of LLMs and AI tooling, with a clear view of their impact on analyst work • Ability to communicate causal analysis clearly to non-technical stakeholders • Ability to thrive in asynchronous, autonomous environments

🏖️ Benefits

• Fully remote work • WeWork membership or co-working allowance usable anywhere in the world • ESOP/equity ownership for every team member • Tech allowance for laptop, monitor, headphones, or other work equipment • Supabase covers 100% of employee health insurance and 80% for dependents • Annual company off-sites • Flexible, asynchronous work • Annual education/professional development allowance for courses, books, conferences, or other learning