Senior Analytics Engineer

Skills

About the Role

You will design, build, and maintain reliable data models that transform raw data into business-ready datasets. You will collaborate with analysts, data scientists, and business stakeholders to translate requirements into actionable metrics, KPIs, and dashboards. You will develop and maintain metrics definitions, semantic layers, and documentation to ensure consistency. You will build, optimize, and test dbt models, write efficient SQL queries, and embed data quality, accuracy, and governance into models and pipelines. You will create dashboards, reports, and visualizations to empower business users, partner with data engineers to ensure smooth data ingestion and availability, and continuously improve analytics processes and workflows for scalability and reliability.

Requirements

• 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 such as star schema snowflake schema and dimensional modeling
• Familiarity with BI and dashboarding tools such as 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 such as DataHub Great Expectations
• Understanding of cloud data warehouses such as Snowflake BigQuery Redshift
• Experience with version control and CI/CD practices in analytics workflows such as GitHub Actions

Responsibilities

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

Benefits

• Competitive benefits
• Equity
• Recognized in the blockchain and Web3 ecosystem
• Continuous learning and opportunities through the Consensys Advance Program and Coursera
• Unlimited vacation and holidays
• Flexible working arrangements
• Remote first