Business Intelligence Analyst

What You'll Do

• Build and maintain dashboards, reports, and ad hoc analyses in OMNI and Snowflake that give finance, GTM, and customer success teams clear visibility into performance.
• Write and optimize SQL queries and dbt models to transform raw CRM and product data into reliable, analysis-ready datasets.
• Partner with business stakeholders to understand what they need to measure, translate those needs into analytical requirements, and deliver solutions that stick.
• Conduct ROI analyses and quantitative deep dives on strategic initiatives, connecting data outputs to business outcomes with clarity.
• Ensure data quality and integrity across reporting systems by identifying discrepancies, documenting assumptions, and maintaining consistent definitions.
• Support data accessibility by managing routine report distribution, automating recurring reporting, and triaging ad hoc data requests efficiently.
• Contribute to a shared knowledge base - documenting models, data dictionaries, and analytical approaches so the team builds on each other's work.

What You Need

• 3+ years of experience in business intelligence, data analytics, or a closely related role, with demonstrated ownership of analytics projects in organizations with multiple stakeholders.
• Proficiency in SQL for data extraction, transformation, and analysis across complex, multi-table data environments.
• Experience with dbt for data modeling and transforming raw data into clean, reusable datasets.
• Experience working with a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
• Experience building dashboards and reports in a BI visualization tool (e.g., OMNI, Tableau, Looker, or equivalent).
• Experience analyzing CRM data in Salesforce or a comparable platform to support revenue and GTM reporting.
• Demonstrated ability to translate complex data into clear, actionable insights for non-technical business audiences.

What Will Make You Stand Out

• Hands-on experience with OMNI - a portfolio of dashboards or analyses is a plus.
• Experience applying statistical methodologies or explainable AI techniques to solve a real business problem, with the ability to explain findings to a non-technical audience.
• Experience working in an open-source, AI, or data science company where data is core to the product and go-to-market.
• Experience working in a fast-paced, smaller-scale organization where you've had to prioritize competing analytical needs with limited resources.

Compensation

Base salary range: $84,500 - $124,500, along with annual bonus potential, equity participation, and benefits including flexible vacation policy, medical/dental/vision insurance, short/long term disability, paid parental leave, monthly wellness stipend, employee assistance program, and mental health resources.