Senior Business Intelligence Analyst

About the role

The Data Analytics team at Anaconda turns data into direction, translating CRM, product, and financial data into the insights that help our go-to-market, finance, and customer success teams make better decisions, faster. Our analytics engineering and data science functions are now unified under one roof, and we're building on strong existing infrastructure.

Responsibilities

• 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.
• 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.
• 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.

Requirements

• 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, and you can speak to the business outcome that resulted.
• Ability to surface trends, risks, or opportunities the business was not yet asking about. You do not wait for the ticket. You see something in the data and bring it forward.
• Demonstrated experience in using AI to quickly iterate, investigate and determine the “art of the possible” and go build it. 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, not just transactional relationships. They come to you before they know what they need because you help them figure that out.
• Experience with OMNI or a comparable semantic-layer BI tool.
• Familiarity with Salesforce CRM data structures and GTM reporting.
• Experience working in a lean, fast-moving analytics function without extensive tooling or infrastructure support.

Pay

$107,000 - $150,000 base salary, along with annual bonus potential, equity participation, and benefits.

Schedule

Flexible hours, fully remote setup, and a genuine commitment to your wellbeing and growth.

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

Equal Opportunity Employer

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