Business Data Analyst

Evlo AI; Austin (TX); On-site; USD 85,000 - 120,000; Full time

Job summary

Evlo AI is seeking a Business Data Analyst to turn operational and product data into actionable insights. You’ll work across SQL warehouses and BI platforms, building dashboards and repeatable reporting that scale across teams.

You will partner with stakeholders to translate questions into KPIs, define metrics, and deliver timely analyses with clear data sources.

Qualifications

• 2-4 years in business/data analysis or related quantitative role.
• Advanced SQL with joins, CTEs, window functions, and performance basics.
• Experience building production dashboards in Looker, Tableau, or Power BI.
• Knowledge of data modeling concepts, dimensional schemas, metrics, and dbt.
• Strong communication to explain findings to business and technical audiences.
• Bachelor's degree in analytics, statistics, econ, CS, or related field; bonus: Python, A/B testing, Amplitude, Mixpanel.

Responsibilities

• Analyze product, customer, revenue, and operational data using SQL to identify trends and drivers of business performance.
• Build and maintain dashboards and recurring reports in Looker, Tableau, or Power BI, with clear metric definitions and data sources.
• Translate stakeholder questions into analytical requirements, measurable KPIs, and scoped deliverables with timelines.
• Partner with analytics engineers to improve dbt models, data transformations, and downstream reporting reliability.
• Validate datasets and reporting outputs through reconciliation checks and quality-control processes.
• Present findings and recommendations to technical and non-technical stakeholders using clear narratives and visuals.
• Automate recurring analysis and reporting workflows with Python, scripting, or scheduled warehouse queries.

Skills

Advanced SQL

BI Dashboards

Looker/Tableau/Power BI

Data Modeling

Communication

dbt

Education

Bachelor's degree in analytics, statistics, econ, CS, or related quantitative field

Tools

Snowflake

BigQuery

Redshift

Databricks SQL

Job description

About The Role

The Business Data Analyst turns operational and product data into clear analysis that supports decisions across growth, finance, customer operations, and product teams. The role works across SQL-based data warehouses, BI tools, and curated reporting models to define metrics, investigate performance changes, and deliver trusted insights. The analyst will partner with stakeholders to translate ambiguous business questions into structured analysis and repeatable reporting. Success means improving data visibility, identifying meaningful trends, and building dashboards and datasets that teams can use without manual intervention.

Key Responsibilities

• Analyze product, customer, revenue, and operational data using SQL to identify trends, anomalies, and drivers of business performance
• Build and maintain dashboards and recurring reports in Looker, Tableau, or Power BI, with clear metric definitions and documented data sources
• Translate stakeholder questions into analytical requirements, measurable KPIs, and scoped deliverables with clear timelines
• Partner with analytics engineers to improve dbt models, data transformations, and the reliability of downstream reporting
• Validate datasets and reporting outputs through reconciliation checks, anomaly detection, and documented quality-control processes
• Present findings and recommendations to technical and non-technical stakeholders using concise narratives, visualizations, and supporting analysis
• Automate recurring analysis and reporting workflows with Python, spreadsheet scripting, or scheduled warehouse queries

What We Are Looking For

• 2-4 years of experience in business analysis, data analysis, product analytics, operations analytics, or a related quantitative role
• Advanced SQL skills, including complex joins, CTEs, window functions, aggregations, and query-performance fundamentals
• Hands-on experience with a modern data warehouse such as Snowflake, BigQuery, Redshift, or Databricks SQL
• Experience building production dashboards and self-service reporting in Looker, Tableau, Power BI, or a comparable BI platform
• Working knowledge of data modeling concepts, dimensional schemas, metric definitions, and transformation frameworks such as dbt
• Strong communication skills, with the ability to explain analytical findings, assumptions, and limitations to business and technical audiences
• Bachelor's degree in analytics, statistics, economics, computer science, business, or a related quantitative discipline; Bonus: experience with Python, experimentation or A/B testing, dbt, Amplitude, Mixpanel, or SaaS business metrics