Founding Data Lead

We are hiring on behalf of our client an elite venture-backed digital asset infrastructure firm who is seeking a strategic and highly autonomous Founding Data Lead. Backed by top-tier Web3 investors including Paradigm and Dragonfly the client is building foundational institutional-grade stablecoin infrastructure and full-service platforms to transform how global value moves.

As the Founding Data Lead the successful candidate will build the organizations data and analytics function from the ground up. This role offers high visibility and immense autonomy with ownership over how data is defined structured and utilized across every facet of the business. By mapping data across the entire stackencompassing onchain product financial and operational datathis individual will translate raw behavioral and transactional metrics into actionable insights that directly shape product development investment strategies and growth trajectories.

Key Responsibilities

• Build from Scratch: Establish scale and own the data analytics function infrastructure and metrics frameworks across the entire organization.
• Cross-Stack Data Mapping: Integrate disparate data sources across onchain activities product usage financial transactions and operations into a cohesive centralized data model.
• Drive Business Insights: Deepen customer understanding by transforming raw behavioral data into strategic insights that influence product roadmaps and business growth.
• Enable Self-Service Analytics: Design deploy and maintain intuitive dashboards and reporting structures (e.g. Metabase Looker) to empower cross-functional teams to make rapid independent data-driven decisions.
• Engineering Partnership: Collaborating closely with the engineering team to optimize data pipelines implement product analytics tracking and elevate the capabilities of the data stack.
• Executive Communication: Synthesize complex data findings into clear high-impact recommendations for the executive leadership team.

Basic Qualifications

• Experience: 5 years of professional experience in analytics business intelligence or data engineering with a strong preference for individuals who have served as an early data hire within a high-growth startup environment.
• Advanced SQL: Exceptional mastery of SQL with the ability to seamlessly construct complex queries utilizing advanced joins window functions CTEs and subqueries.
• BI & Dashboarding: Proven experience building and scaling dashboards and metrics frameworks within platforms like Metabase Looker or similar tooling.
• Data Modeling: Demonstrated ability to translate highly ambiguous messy business contexts into clean structured and scalable data models.
• Big Data Tooling: Familiarity working with high-volume event data and processing tools such as Spark Databricks ClickHouse or equivalent technologies.
• Orchestration & Product Analytics: Working knowledge of data orchestration tools (e.g. dbt Airflow Dagster Prefect) and proficiency with product analytics platforms (e.g. Amplitude Mixpanel PostHog Heap).
• Communication: Outstanding communication skills with a track record of presenting clear data stories and driving strategic recommendations at the executive level.

Preferred Qualifications

• Web3/Blockchain Expertise: Direct experience handling blockchain data including onchain indexing subgraphs multi-chain analytics or DeFi protocols.
• Domain Knowledge: A professional background within fintech digital payments or institutional financial services.

• Competitive compensation package.
• Opportunity to shape the foundational data culture and infrastructure of a high-growth well-funded startup.
• Collaborative environment working alongside a high-performance team of finance and crypto-native pioneers.
  

Due to the high volume of applications we anticipate we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

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