Data Analyst

Evlo AI; Seattle (WA); On-site; USD 90,000 - 125,000; Full time

Job summary

Evlo AI in Seattle is seeking a Data Analyst to turn product, customer, and operational data into reliable analysis that informs product decisions, growth planning, and performance tracking. The role collaborates across SQL-based warehouses (Snowflake, BigQuery), dbt models, and BI tools to define metrics, investigate trends, and deliver rigorous insights for decision-makers.

The analyst partners with product managers, engineers, and business leaders to build trusted reporting and answer

Qualifications

• 1-3 years of experience in data analysis, BI, product analytics, or related quantitative role.
• Advanced SQL skills including joins, CTEs, window functions, and query optimization.
• Experience with cloud warehouses (Snowflake/BigQuery/Redshift/Databricks SQL).
• Experience building production dashboards and self-service reporting (Looker/Tableau/Mode/Power BI).
• Knowledge of data modeling and transformations (dbt, dimensional modeling, data quality testing).
• Strong analytical communication; able to explain methods, limitations, and recommendations.

Responsibilities

• Query and analyze large datasets to identify trends and answer business questions.
• Build and maintain dashboards and reporting in Looker, Tableau, or Mode.
• Define and monitor core metrics with product, finance, marketing, and ops teams.
• Develop reusable data models and transformations in dbt with testing/docs.
• Investigate data quality issues across source systems and pipelines.
• Design analyses for experiments, funnels, cohorts, retention, and segmentation.

Skills

Advanced SQL

Data modeling

Analytical communication

Python

R

Experimentation analysis

Education

Bachelor's degree in statistics/economics/mathematics/computer science/business analytics

Tools

Snowflake

BigQuery

Redshift

Databricks SQL

dbt

Looker

Tableau

Mode

Power BI

Job description

About The Role

The Data Analyst turns product, customer, and operational data into reliable analysis that supports product decisions, growth planning, and business performance. The role works across SQL-based warehouses such as Snowflake or BigQuery, dbt models, and BI tools to define metrics, investigate trends, and make complex data accessible to decision-makers.

The analyst partners with product managers, engineers, and business leaders to build trusted reporting and answer high-priority questions with rigor. This role matters because consistent metric definitions, well-designed dashboards, and clear analysis directly influence how teams allocate resources and measure outcomes.

Key Responsibilities

• Query and analyze large datasets using SQL to identify trends, explain performance changes, and answer recurring and ad hoc business questions
• Build and maintain dashboards and reporting in Looker, Tableau, or Mode, ensuring stakeholders have timely access to accurate metrics
• Define, document, and monitor core business and product metrics in partnership with product, finance, marketing, and operations teams
• Develop reusable data models and transformations in dbt, applying testing and documentation standards to improve reporting reliability
• Investigate data quality issues by tracing discrepancies across source systems, warehouse tables, pipelines, and downstream dashboards
• Design analyses for experiments, funnels, cohorts, retention, and segmentation; communicate findings with clear recommendations and appropriate caveats
• Present concise written and visual analyses to technical and non-technical audiences, translating ambiguous questions into measurable decisions

What We Are Looking For

• 1-3 years of experience in data analysis, business intelligence, product analytics, or a related quantitative role
• Advanced SQL skills, including joins, CTEs, window functions, aggregations, and query optimization on analytical datasets
• Hands-on experience with a cloud data warehouse such as Snowflake, BigQuery, Redshift, or Databricks SQL
• Experience building production dashboards and self-service reporting in Looker, Tableau, Mode, Power BI, or an equivalent BI platform
• Working knowledge of data modeling and transformation practices, including dbt, dimensional modeling, metric definitions, and data quality testing
• Strong analytical communication skills, with the ability to explain methodology, limitations, and recommendations to varied stakeholders
• Bachelor’s degree in statistics, economics, mathematics, computer science, business analytics, or a related quantitative field; equivalent practical experience considered. Bonus: Python or R, experimentation analysis, Amplitude or Mixpanel, Airflow, and experience working with product or marketplace data