Staff Data Analyst, GTM

About Supabase: Supabase is the premier, open-source Postgres development platform and cloud infrastructure pioneer built by developers for developers to streamline global software delivery. Providing a deeply integrated, production-scale backend suite that encompasses enterprise relational databases, authentication modules, file storage networks, edge functions, and advanced vector search capabilities, Supabase eliminates application friction to support hyper-growth phases. Born-remote and open-source-first, the collective commands over $500M in venture funding and supports a vibrant community of more than 500,000 developers across 55+ countries, building in public and using what they ship to empower digital creators globally.

Position Overview

We are seeking a highly sophisticated, systems-minded Staff Data Analyst, GTM to join our core Data Intelligence team in a full-time, Global Remote capacity. In this high-trust technical leadership seat, you will claim end-to-end operational ownership over the analytical foundation powering Supabase’s rapidly scaling sales organization. Moving completely past passive checklist reporting, you will connect the dots between fragmented commercial systems, multi-tenant billing logs, and real-time product usage data to turn raw operational signals into canonical data products. This role demands a self-directed full-stack analyst who excels natively within asynchronous frameworks, thinks with an AI-forward deployment mindset, and can independently build scalable business intelligence layers to guide territory design and expansion strategies safely.

Key Responsibilities

• Canonical Data Product Architecture: Build, scale, and maintain the underlying data models and canonical data products that Go-To-Market (GTM) leadership relies on, tracking ARR, pipeline depth, and account health signals.
• Metric Standardization & Documentation: Define, govern, and document enterprise-grade GTM metric standards to guarantee consistent reporting definitions across distributed Sales, Customer Success, and Revenue Operations divisions.
• Ecosystem Data Connectivity: Harmonize unstructured data streams between CRM applications, granular product telemetry logs, and financial billing engines to construct a coherent, 360-degree visualization of client lifecycles.
• Self-Service BI Engineering: Design and deploy automated self-service analytical dashboards and semantic data layers, empowering commercial teams to answer technical questions independently without creating operational bottlenecks.
• AI-Forward Analytical Workflows: Leverage advanced large language models and machine learning workflows habitually to accelerate script performance, automate diagnostic queries, and go deeper than traditional analyst limits.
• Strategic Stakeholder Liaison: Translate vague commercial inquiries into clean analytical specifications, delivering decision-ready insights and presenting technical data frameworks smoothly to non-technical executive teams.
• Data Discrepancy Remediation: Proactively isolate gaps, missing tracking attributes, and structural contradictions across distributed software databases, collaborating cross-functionally to drive permanent backend resolutions.

Required Skills & Qualifications

• 6+ years of verified professional history running advanced data analytics, backend data modeling, database query writing, or business intelligence architecture.
• Meaningful, demonstrated career history directly supporting Sales enablement, Customer Success monitoring, or revenue-driven GTM Operations.
• Proven background building robust data models and full-stack BI layers completely from scratch (from raw schema sourcing straight to final business-facing output components).
• Hands-on operational literacy handling data intersections across enterprise CRMs, metered product usage software logs, and scalable cloud billing networks.
• Direct professional background operating within Product-Led Growth (PLG) setups or high-volume usage-based billing software models.
• Authoritative proficiency writing advanced analytical operations natively using enterprise relational engines, data manipulation workflows, and SQL scripts.
• Strong alignment with AI-driven ways of working, highlighting an active personal habit of utilizing LLMs to accelerate coding throughput.
• Location Context: Full-time remote parameters open to qualified data engineers residing anywhere globally, offering an entirely asynchronous workplace setup with no physical office constraints.

Preferred Strategic Indicators (Nice to Have)

• Prior experience operating data pipelines for open-source software providers, enterprise developer platforms, or cloud storage systems.
• Practical familiarity writing custom data mining or validation scripts natively within Python data tools.
• Familiarity with modern business intelligence platforms, looker studio dashboards, Power BI, or Tableau frameworks.
• Familiarity navigating cloud data warehouses, specifically Google Cloud BigQuery or Snowflake architecture models.

What We Offer

• Global Equity Ownership: Receive integrated Employee Stock Options (ESOP) to directly share in the long-term financial upside of a category-defining infrastructure platform.
• The exceptional professional canvas to own and code the GTM analytics function end-to-end for a premier global tech collective backed by $500M in funding.
• Profound work-from-home remote parameters providing an active WeWork membership or global co-working venue allowance of your choice.
• 100% Employer-Paid Healthcare: Complete medical, dental, and vision insurance premiums covered at 100% for the employee, and at 80% for your eligible dependents globally.
• A dedicated personal tech allowance budget to purchase your ideal work environment peripherals, including enterprise laptops, monitors, or ergonomics headphones.
• An annual educational development allowance to fund your choice of technical books, advanced analytics courses, and global technology conferences.
• Memorable annual team offsites hosting the entire globally distributed community in a new international city for a week of collaboration and connection.