Data Analyst

Evlo AI; Seattle (WA); Hybrid; USD 70,000 - 90,000; Full time

Job summary

Evlo AI in Seattle is seeking a Data Analyst to turn product, customer, and operational data into reliable reporting and actionable insights. The role works across SQL-based warehouses, BI dashboards, and curated analytical datasets to help teams understand performance and make better decisions.

The analyst will partner with product managers, engineers, finance, and operations in a hybrid Seattle environment, combining exploratory analysis, dashboard development, metric definition, and data

Qualifications

• 0–2 years of experience in data analysis, business intelligence, analytics engineering, or a related internship or academic setting.
• Strong SQL skills, including joins, common table expressions, aggregations, window functions, and data validation techniques.
• Working knowledge of Python for data analysis using tools such as pandas, Jupyter, or comparable libraries.
• Experience building dashboards or reports with Looker, Tableau, Power BI, or a similar business intelligence platform.
• Understanding of relational data modeling, key performance indicators, experiment measurement, and basic statistical concepts.
• Bachelor’s degree in statistics, mathematics, economics, computer science, business analytics, or a related quantitative field, or equivalent practical experience.
• Bonus: Experience with dbt, Git, cloud data warehouses, product analytics tools such as Amplitude or Mixpanel, or automated data quality testing

Responsibilities

• Analyze large datasets using SQL and Python to identify trends, performance drivers, and opportunities across product and business operations
• Build and maintain dashboards and recurring reports in Looker, Tableau, or a comparable BI platform
• Define, document, and validate business metrics in partnership with stakeholders and data engineering teams
• Write tested SQL models in dbt and contribute to curated datasets in a cloud data warehouse such as Snowflake, BigQuery, or Redshift
• Investigate data quality issues, reconcile conflicting sources, and communicate clear findings and recommended actions
• Support product and operational experiments by designing measurement plans, tracking key metrics, and interpreting results
• Present analytical findings to technical and non-technical audiences through concise documentation, visualizations, and stakeholder reviews

Skills

SQL

Python

Data Modeling

Data Validation

BI Dashboarding

Statistics

Pandas

Jupyter

Communication

Git

Education

Bachelor's degree in statistics / mathematics / economics / CS / business analytics

Tools

Looker

Tableau

Power BI

Snowflake

BigQuery

Redshift

dbt

Git

Job description

About The Role

The Data Analyst turns product, customer, and operational data into reliable reporting and actionable insights. The role works across SQL-based data warehouses, BI dashboards, and curated analytical datasets to help teams understand performance, identify trends, and make better decisions.

About The Role

The Data Analyst turns product, customer, and operational data into reliable reporting and actionable insights. The role works across SQL-based data warehouses, BI dashboards, and curated analytical datasets to help teams understand performance, identify trends, and make better decisions. The analyst will partner with product managers, engineers, finance, and operations teams in a hybrid Seattle environment. The work combines exploratory analysis, dashboard development, metric definition, and data quality validation, with a direct impact on product prioritization and business planning.

Key Responsibilities

• Analyze large datasets using SQL and Python to identify trends, performance drivers, and opportunities across product and business operations
• Build and maintain dashboards and recurring reports in Looker, Tableau, or a comparable BI platform
• Define, document, and validate business metrics in partnership with stakeholders and data engineering teams
• Write tested SQL models in dbt and contribute to curated datasets in a cloud data warehouse such as Snowflake, BigQuery, or Redshift
• Investigate data quality issues, reconcile conflicting sources, and communicate clear findings and recommended actions
• Support product and operational experiments by designing measurement plans, tracking key metrics, and interpreting results
• Present analytical findings to technical and non-technical audiences through concise documentation, visualizations, and stakeholder reviews

What We Are Looking For

• 0–2 years of experience in data analysis, business intelligence, analytics engineering, or a related internship or academic setting
• Strong SQL skills, including joins, common table expressions, aggregations, window functions, and data validation techniques
• Working knowledge of Python for data analysis using tools such as pandas, Jupyter, or comparable libraries
• Experience building dashboards or reports with Looker, Tableau, Power BI, or a similar business intelligence platform
• Understanding of relational data modeling, key performance indicators, experiment measurement, and basic statistical concepts
• Bachelor’s degree in statistics, mathematics, economics, computer science, business analytics, or a related quantitative field, or equivalent practical experience
• Bonus: Experience with dbt, Git, cloud data warehouses, product analytics tools such as Amplitude or Mixpanel, or automated data quality testing