Who you are

• Over 6 years of experience as a 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)
• Don't meet all the requirements? Don't sweat it. We’re passionate about building a diverse team of humans and as such, if you think you've got what it takes for our chaotic-but-fun, remote-friendly, start-up environment—apply anyway, detailing your relevant transferable skills in your cover letter

What the job involves

• 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
• 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
• 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

Benefits

• Equity - We believe in ownership and want everyone to have a stake in our future success, that’s why you’ll receive equity when you join us
• Recognized in the blockchain and Web3 ecosystem - Working at ConsenSys is a tremendous reference for your career. You’ll join a network of entrepreneurs and technologists that extends across the global crypto ecosystem
• Continuous learning & opportunities - We provide ongoing growth and development through on-the-job learning, and the ConsenSys Advance Program which includes full access to Coursera, bespoke and technical learning programs and ConsenSys Academy our world-class blockchain and Ethereum program
• Unlimited vacation holidays - We value downtime to recharge and reset, ensuring everyone at ConsenSys has work/life balance. In addition, company-wide we participate in “zero productivity” days to take a break from work, shut down, and sit back and relax
• Flexible working arrangements - With our global workforce we have fine-tuned asynchronous working which means we have a lot of flexibility in the structure of when we work and how we work together
• Remote first - You’ll be joining a team based all over the world. Providing the unique opportunity to work with people from across 6 continents