What are the responsibilities and job description for the Data Analyst position at Evlo AI?
About The Role
The role is responsible for transforming raw operational and product data into actionable business intelligence. Operating within a modern data stack, this analyst will partner closely with product, engineering, and finance teams to define key performance metrics, build reliable dashboards, and deliver deep-dive analyses that guide strategic decisions.
The ideal candidate brings a blend of technical expertise in SQL and data modeling with strong business acumen. This position will contribute directly to democratization of data by developing self-service BI assets and ensuring data trust and reliability across the organization.
Key Responsibilities
The role is responsible for transforming raw operational and product data into actionable business intelligence. Operating within a modern data stack, this analyst will partner closely with product, engineering, and finance teams to define key performance metrics, build reliable dashboards, and deliver deep-dive analyses that guide strategic decisions.
The ideal candidate brings a blend of technical expertise in SQL and data modeling with strong business acumen. This position will contribute directly to democratization of data by developing self-service BI assets and ensuring data trust and reliability across the organization.
Key Responsibilities
- Write complex, optimized SQL queries to extract, transform, and analyze datasets from Snowflake and BigQuery data warehouses
- Design, build, and maintain production-grade dashboards in Tableau, Looker, or PowerBI to track company-wide KPIs and product adoption
- Partner with analytics engineers to define requirements for dbt models, ensuring clean and well-structured tables for downstream reporting
- Perform exploratory data analysis to identify trends, diagnose anomalies in product performance, and uncover growth opportunities
- Conduct rigorous A/B testing analysis, defining sample sizes, tracking experiment health, and presenting statistical results to stakeholders
- Document data definitions, metric logic, and dashboard schemas to maintain a reliable single source of truth
- 2–4 years of experience as a Data Analyst, Business Intelligence Analyst, or in a similar quantitative analytics role
- Advanced proficiency in writing structured, high-performing SQL queries (joins, window functions, CTEs) on large-scale datasets
- Hands-on experience building enterprise-level dashboards and semantic layers using Looker (LookML), Tableau, or Sigma
- Familiarity with modern data stack architectures, particularly cloud data warehouses (Snowflake, BigQuery) and dbt
- Solid understanding of basic statistical concepts, including experimental design, hypothesis testing, and regression analysis
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field
- Bonus: Experience with Python or R for data analysis, or prior exposure to product analytics tools like Amplitude or Mixpanel