MLabs
Founding Data Lead
Jersey City, New Jersey, United States
No sponsorshipDetected 23 days ago
SQLDatabricksSparkAirflowdbtData AnalysisData EngineeringData VisualizationLeadershipCommunicationPublic Speaking
About the role
- This role offers high visibility and immense autonomy, with ownership over how data is defined, structured, and utilized across every facet of the business.
- Cross-Stack Data Mapping: Integrate disparate data sources across onchain activities, product usage, financial transactions, and operations into a cohesive, centralized data model.
- Executive Communication: Synthesize complex data findings into clear, high-impact recommendations for the executive leadership team.
Responsibilities
- Build from Scratch: Establish, scale, and own the data analytics function, infrastructure, and metrics frameworks across the entire organization.
- 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.
- 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 organization's data and analytics function from the ground up.
- Establish, scale, and own the data analytics function, infrastructure, and metrics frameworks across the entire organization.
- 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.
- Collaborating closely with the engineering team to optimize data pipelines, implement product analytics tracking, and elevate the capabilities of the data stack.
Requirements
- Advanced SQL: Exceptional mastery of SQL, with the ability to seamlessly construct complex queries utilizing advanced joins, window functions, CTEs, and subqueries.
- Data Modeling: Demonstrated ability to translate highly ambiguous, messy business contexts into clean, structured, and scalable data models.
- 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.
- 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.
- Exceptional mastery of SQL, with the ability to seamlessly construct complex queries utilizing advanced joins, window functions, CTEs, and subqueries.
- Demonstrated ability to translate highly ambiguous, messy business contexts into clean, structured, and scalable data models.
- Working knowledge of data orchestration tools (e.g., dbt, Airflow, Dagster, Prefect) and proficiency with product analytics platforms (e.g., Amplitude, Mixpanel, PostHog, Heap).
Nice to have
- 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.
- 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.
- We ensure no discrimination, accessible job adverts, and providing information in accessible formats.
Skills
- Familiarity working with high-volume event data and processing tools such as Spark, Databricks, ClickHouse, or equivalent technologies.
Company info
- At MLabs, we are committed to offer equal opportunities to all candidates.
- If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
- Your data may be shared only with clients and trusted partners where necessary for recruitment purposes.
- You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
- 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.
This listing is sourced directly from MLabs's careers page and normalized into a canonical job model.