Founding Data Lead

MLabs

Founding Data Lead establishing the data and analytics function for a venture-backed digital asset firm. Driving strategic insights to influence product development and growth trajectories.

Posted 5/29/2026full-timeJersey City • New Jersey • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AirflowSparkSQLWeb3

About the role

Key responsibilities & impact

**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.

Requirements

What you’ll need

**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.

Benefits

Comp & perks

- 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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLdata modelingdashboardingdata orchestrationproduct analyticsbig data toolingdata pipelinesdata analyticsdata integrationdata metrics frameworks

Soft Skills

communicationcollaborationstrategic thinkingproblem-solvingexecutive communicationcustomer understandingdata storytellingindependent decision-makingpresentation skillscross-functional teamwork