Senior Business Intelligence Analyst

What You'll Do

Technical Delivery

• Design, build, and maintain production-grade dbt models and SQL pipelines in Snowflake that serve as the reliable foundation for business-critical reporting.
• Architect dashboards and analytical frameworks in OMNI that go beyond status tracking to surface trends, anomalies, and actionable signals for finance, GTM, and customer success.
• Own data quality end-to-end: design tests, enforce consistent metric definitions, identify upstream issues before they reach stakeholders, and document assumptions clearly.
• Automate recurring reporting workflows and triage ad hoc requests efficiently, keeping delivery time low without sacrificing accuracy.

Insight and Strategy

• Move from reporting to recommending: deliver not just the numbers, but the editorial. Surface what the data means and what the business should do about it.
• Apply statistical methods (regression, cohort analysis, A/B test interpretation, time-series modeling) to uncover insights that descriptive reporting alone would miss.
• Lead ROI analyses and quantitative deep dives on strategic initiatives, connecting data outputs to revenue, retention, or efficiency outcomes with clarity and precision.
• Proactively identify trends, risks, and opportunities in the data and bring them to stakeholders without waiting to be asked.

Stakeholder Partnership

• Partner closely with finance, GTM, customer success, and marketing to understand what they need to measure, translate those needs into analytical requirements, and deliver solutions that stick.
• Help stakeholders ask better questions over time: not just answering requests, but shaping how they think about and use data.
• Contribute to a shared knowledge base by documenting models, data dictionaries, and analytical approaches so the team builds on each other's work.

What You Need

• 5+ years of experience in business intelligence, analytics engineering, or a closely related function
• Advanced SQL proficiency: complex joins, window functions, query optimization, and performance tuning at scale
• Hands-on experience with dbt in a production environment: model design, testing, documentation, and incremental/snapshot strategies
• Experience with a modern cloud data warehouse (Snowflake strongly preferred)
• Demonstrated use of statistical methods in a business context with clear evidence of the outcomes produced
• Strong data visualization skills with the ability to make complex data accessible to non-technical audiences and answering the WHEN, WHO, WHAT, HOW & if possible the WHY
• Track record of partnering with cross-functional stakeholders and influencing how they use and interpret data
• Authorized to work in the United States without sponsorship, now or in the future

What Will Make You Stand Out

• Experience using regression, cohort analysis, A/B test interpretation, causal inference techniques, segmentation modeling, or time-series techniques in a business context
• Ability to surface trends, risks, or opportunities the business was not yet asking about
• Demonstrated experience in using AI to quickly iterate, investigate and determine the "art of the possible"
• Demonstrated ability to use AI to build causal inference to answer the WHY behind a business challenge
• Proven experience developing ongoing analytical partnerships with non-technical business partners
• Experience with OMNI or a comparable semantic-layer BI tool
• Familiarity with Salesforce CRM data structures and GTM reporting
• Exposure to Python or R for analytical work beyond SQL
• Experience working in a lean, fast-moving analytics function without extensive tooling or infrastructure support

Compensation and Benefits

• Base salary range: $107,000 - $150,000, along with annual bonus potential, equity participation, and benefits
• Flexible Vacation Policy
• Medical, Dental, and Vision Insurance
• Short Term and Long Term Disability
• Paid Parental Leave
• Monthly Wellness Stipend
• Employee Assistance Program and Mental Health Resources