Senior Analytics Engineer

About Consensys

Consensys is a leading blockchain and web3 software company founded by Joe Lubin, CEO of Consensys and Co-Founder of Ethereum. Since 2014, Consensys has been at the forefront of innovation, pioneering technological developments within the web3 ecosystem.

Through our product suite, including the MetaMask platform, Infura, Linea, Diligence, and our NFT toolkit Phosphor, we have become the trusted collaborator for users, creators, and developers on their path to build and belong in the world they want to see.

Whether building a dapp, an NFT collection, a portfolio, or a better future, the instinct to build is universal. Consensys inspires and champions the builder instinct in everyone by making web3 universally easy to use and develop on.

Our mission is to unlock the collaborative power of communities by making the decentralized web universally easy to access, use, and build on.

You’ll get to work on the tools, infrastructure, and apps that scale these platforms to onboard one billion participants and 5 million developers. You’ll be constantly exposed to new concepts, ideas, and frameworks from your peers, and as you work on different projects — challenging you to stay at the top of your game. You’ll join a network of builders that reaches the edge of our ecosystem. Consensys alumni have moved on to become tech entrepreneurs, CEOs, and team leads at tech companies.

About The Data Team

The Data team sits within the Office of the COO and builds the models and frameworks that translate raw data into company-wide KPIs. We sit at the intersection of engineering and analytics, ensuring that data is transformed into the metrics Finance, Product, and Leadership need to operate — and to file for IPO with confidence.

What You’ll Do as a Senior Analytics Engineer

• Design, build, and maintain reliable data models that transform raw data into business-ready datasets.
• Collaborate closely with analysts, data scientists, and business stakeholders to understand requirements and translate them into actionable metrics, KPIs, and dashboards.
• Develop and maintain metrics definitions, semantic layers, and data documentation to ensure consistency across teams.
• Build, optimize, and test dbt models to deliver clean, reliable, and trusted data.
• Ensure data quality, accuracy, and governance are embedded in all models and pipelines.
• Create dashboards, reports, and visualizations that empower business users to make data-driven decisions.
• Work with SQL and transformation frameworks to write efficient queries and maintain performant models.
• Partner with data engineers to ensure smooth data ingestion and availability for analytics.
• Continuously improve processes and workflows to increase efficiency, reliability, and scalability.

Would be great if you brought this to the Senior Analytics Engineer role

• Over 6 years of experience as an Analytics Engineer.
• Previous experience developing and tracking KPIs for public companies.
• Expert-level SQL skills with experience writing complex queries and optimizing performance.
• Hands-on experience with dbt for data transformation and modeling.
• Strong understanding of data modeling concepts (e.g., star schema, snowflake schema, dimensional modeling).
• Familiarity with BI and dashboarding tools (e.g., Looker, Superset, Tableau, Power BI).
• Experience defining KPIs and metrics for business stakeholders.
• Comfort with Python or other scripting languages for lightweight data transformations and automation.
• Knowledge of data governance, lineage, and documentation tools (e.g., DataHub, Great Expectations).
• Understanding of cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Collaborative mindset and ability to work closely with both technical and non-technical stakeholders.
• Experience with version control and CI/CD practices in analytics workflows (e.g., GitHub Actions).

Key skills/competency

• Data Modeling
• SQL
• dbt
• KPI Tracking
• Data Quality
• Business Intelligence
• Cloud Data Warehousing
• Python
• Data Governance
• CI/CD in Analytics