Data Analyst

Evlo AI; Raleigh (NC); On-site; USD 90,000 - 130,000; Full time

Job summary

Evlo AI is seeking a data analytics engineer at the intersection of data engineering and business strategy. You will turn raw product and operational data into analyses that drive roadmap and revenue decisions, owning the analytics layer on top of a modern warehouse stack—dbt models, dashboards, and self-serve reporting used across the company.

You will work with product managers, finance, and leadership, designing dbt models and SQL transformations on Snowflake, and building Looker/Tableau

Qualifications

• 3-6 years of experience in data analytics or analytics engineering at a product-driven tech company.
• Advanced SQL skills including window functions, CTEs, and large dataset optimization.
• Hands-on experience with dbt and a cloud data warehouse (Snowflake, BigQuery, or Redshift).
• Proficiency in Python or R for analysis, with pandas.
• Experience building dashboards in Looker, Tableau, or Power BI, with semantic modeling.
• Bachelor's degree in a quantitative field or equivalent practical experience.
• Bonus: experience with experimentation frameworks, airflow, or event data tooling (Segment, Amplitude).

Responsibilities

• Design, build, and maintain dbt models and SQL transformations on a Snowflake warehouse, ensuring data accuracy and documentation.
• Develop dashboards in Looker (or Tableau) for leadership weekly reviews and product decisions.
• Run deep-dive analyses on activation, retention, and monetization funnels and translate findings into product recommendations.
• Partner with data engineers to improve pipeline reliability and data ingestion quality.
• Define and instrument product metrics and maintain a trusted semantic layer across teams.
• Communicate insights clearly to non-technical stakeholders through analyses and executive summaries.
• Mentor junior analysts and contribute to analytics standards and testing practices.

Skills

Advanced SQL

Data analytics

Dashboards

Stakeholder communication

Education

Bachelor's degree in quantitative field

Tools

dbt

Snowflake

BigQuery

Redshift

Looker

Tableau

Power BI

Job description

About The Role

The role sits at the intersection of data engineering and business strategy, turning raw product and operational data into analyses that drive roadmap and revenue decisions.

About The Role

The role sits at the intersection of data engineering and business strategy, turning raw product and operational data into analyses that drive roadmap and revenue decisions. You will work directly with product managers, finance, and leadership, owning the analytics layer on top of a modern warehouse stack - dbt models, dashboards, and self-serve reporting used across the company.

Key Responsibilities

• Design, build, and maintain dbt models and SQL transformations on a Snowflake warehouse, ensuring data accuracy and clear documentation
• Develop and own dashboards in Looker (or Tableau) used by leadership for weekly business reviews and product decision-making
• Run deep-dive analyses on activation, retention, and monetization funnels, translating findings into concrete product recommendations
• Partner with data engineers to improve pipeline reliability, data contracts, and source system ingestion quality
• Define and instrument product metrics, maintaining a trusted semantic layer shared across teams
• Communicate insights clearly to non-technical stakeholders through written analyses and executive summaries
• Mentor junior analysts and contribute to analytics standards, testing practices, and code review culture

What We Are Looking For

• 3-6 years of experience in data analytics, analytics engineering, or a comparable role at a product-driven tech company
• Advanced SQL skills: window functions, CTEs, query optimization on large datasets
• Hands-on experience with dbt and a cloud data warehouse (Snowflake, BigQuery, or Redshift)
• Proficiency in Python or R for analysis, with comfort using pandas for ad hoc and production workflows
• Experience building dashboards in Looker, Tableau, or Power BI, including semantic modeling
• Bachelor's degree in a quantitative field (statistics, economics, computer science) or equivalent practical experience
• Bonus: experience with experimentation/A-B testing frameworks, airflow, or event data tooling (Segment, Amplitude)