Business Data Analyst

Evlo AI; Minneapolis (MN); On-site; USD 65,000 - 90,000; Full time

Job summary

Evlo AI in Minneapolis seeks a Business Data Analyst to turn operational and product data into reliable reporting and actionable insights. You will work across SQL-based warehouses, dbt models, and BI tools to define metrics and monitor health.

Collaborate with product, operations, finance, and engineering to translate questions into structured analyses and dashboards, delivering executive-ready summaries and influencing prioritization and forecasting.

Qualifications

• 1–3 years of experience in business analytics, data analysis, product analytics, operations analytics, or a related role.
• Strong SQL skills, including joins, CTEs, window functions, aggregations, and query optimization against large datasets.
• Hands-on experience with at least one BI platform such as Looker, Tableau, or Power BI, including dashboard development and semantic metric design.
• Working knowledge of modern data transformation practices and tools such as dbt, version control, data testing, and dimensional modeling.
• Experience using Python or a comparable scripting language for analysis, data validation, or workflow automation.
• Bachelor’s degree in analytics, statistics, economics, computer science, business, or a related quantitative field, or equivalent practical experience.
• Bonus: Experience with Snowflake, BigQuery, Redshift, Amplitude, Segment, experimentation analysis, forecasting, or product-led technology environments.

Responsibilities

• Build and maintain analytical datasets and reporting models using SQL, dbt, and a cloud data warehouse such as Snowflake, BigQuery, or Redshift
• Create and manage dashboards in Looker, Tableau, or Power BI, including metric definitions, drill-downs, alerts, and documentation
• Analyze product, customer, and operational data to identify trends, anomalies, drivers of performance, and opportunities for improvement
• Partner with stakeholders to define business requirements, establish trusted KPIs, and deliver recurring reporting with clear recommendations
• Validate data quality across source systems and transformation layers; investigate discrepancies and coordinate fixes with data engineering
• Automate recurring analyses and reporting workflows using Python, SQL, spreadsheets, or BI platform capabilities
• Present findings to technical and non-technical audiences through concise written analysis, visualizations, and executive-ready summaries

Skills

SQL

Dashboard development

Data analysis

Python

Data validation

Forecasting

Education

Bachelor's degree in analytics, statistics, economics, computer science, business, or a related quantitative field

Tools

dbt

Looker

Tableau

Power BI

Snowflake

BigQuery

Redshift

Job description

About The Role

The Business Data Analyst turns operational and product data into reliable reporting, actionable insights, and decision-ready analysis. The role works across SQL-based data warehouses, dbt models, and BI tools to define metrics, investigate performance changes, and improve visibility into business health.

The analyst partners with product, operations, finance, and engineering teams to translate ambiguous questions into structured analyses and repeatable dashboards. This work matters because accurate definitions, trusted pipelines, and clear reporting directly influence prioritization, forecasting, and customer outcomes.

Key Responsibilities

• Build and maintain analytical datasets and reporting models using SQL, dbt, and a cloud data warehouse such as Snowflake, BigQuery, or Redshift
• Create and manage dashboards in Looker, Tableau, or Power BI, including metric definitions, drill-downs, alerts, and documentation
• Analyze product, customer, and operational data to identify trends, anomalies, drivers of performance, and opportunities for improvement
• Partner with stakeholders to define business requirements, establish trusted KPIs, and deliver recurring reporting with clear recommendations
• Validate data quality across source systems and transformation layers; investigate discrepancies and coordinate fixes with data engineering
• Automate recurring analyses and reporting workflows using Python, SQL, spreadsheets, or BI platform capabilities
• Present findings to technical and non-technical audiences through concise written analysis, visualizations, and executive-ready summaries

What We Are Looking For

• 1–3 years of experience in business analytics, data analysis, product analytics, operations analytics, or a related role
• Strong SQL skills, including joins, CTEs, window functions, aggregations, and query optimization against large datasets
• Hands‑on experience with at least one BI platform such as Looker, Tableau, or Power BI, including dashboard development and semantic metric design
• Working knowledge of modern data transformation practices and tools such as dbt, version control, data testing, and dimensional modeling
• Experience using Python or a comparable scripting language for analysis, data validation, or workflow automation
• Bachelor’s degree in analytics, statistics, economics, computer science, business, or a related quantitative field, or equivalent practical experience
• Bonus: Experience with Snowflake, BigQuery, Redshift, Amplitude, Segment, experimentation analysis, forecasting, or product-led technology environments