Founding Data Lead
Mlabs Ltd
Jersey City, United States of America
3 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Jersey City, United States of America
Tech stack
Adaptable Database Systems
Airflow
Business Analytics Applications
Big Data
Information Engineering
Data Mapping
Database Queries
Payment Systems
Mixpanel
Blockchain
SQL Databases
Usage Analysis
Sql Optimization
Spark
Indexer
Data Analytics
Web3.js
Vertica
Heap (Data Structure)
Looker Analytics
Data Pipelines
Databricks
Job description
- 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
Do you have experience in Tooling?, * 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 & conditions
- 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.