Senior Business Intelligence Analyst

About Anaconda

Be at the center of AI

Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more at https://www.anaconda.com.

Summary

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. The Senior BI Analyst sits at the center of that momentum as a strategic thought partner to the business, not just someone who answers questions well. You will own complex analytical projects end-to-end, bring a point of view on what the data means, and help shape how we measure what matters across the company.

If you go beyond describing what happened and push toward why it matters and what we should do about it, this is the work for you.

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.

Your Impact Will Be Measured Through

• Accuracy and reliability of dashboards and data models in production
• Speed and quality of insight delivery to business stakeholders
• Evidence of analytical work influencing business decisions, not just informing them
• Adoption of dashboards and reporting infrastructure across stakeholder teams
• Quality of documentation and data governance contributions

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

• We're looking for more than technical proficiency. We need someone who shapes how the business thinks, not just someone who answers questions well.
• You can point to specific examples where your analysis shifted how a stakeholder understood a problem, not just gave them a number they asked for. The insight came from you, not from the request.
• 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. This is not about academic statistics. It is about knowing when to reach for a more rigorous tool and what it produced.
• 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.
• You have built dbt models that are still running in production, and you can speak to the tradeoffs you made in the design. You treat data quality as part of your job, not someone else's problem.
• 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.

Why You'll Like Working Here

• You'll thrive in a high-performance environment where results are recognized and rewarded
• Your work directly contributes to shaping the future of data science, machine learning, and AI in the enterprise.
• You'll work alongside a collaborative team that values diverse, thoughtful discussion, clarity and candor.
• You'll be supported by a culture that puts employees first - with flexible hours, a fully remote setup, and a genuine commitment to your wellbeing and growth.

The application deadline for this role is 08/12/2026; applicants will be reviewed on an ongoing basis until the role is filled.

The base salary range for this role is $107,000 - $150,000, along with annual bonus potential, equity participation, and benefits.

Our salary ranges are determined by role, level, and location. Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.

In addition to base salary, we offer a comprehensive benefits package that includes:

• 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

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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Anaconda is an EEO/AA employer M/F/V/D.

Key skills/competency

• Senior Business Intelligence Analyst
• SQL
• dbt
• Snowflake
• BI Tools
• Data Visualization
• Statistical Methods
• Stakeholder Management
• Data Quality
• Analytics Engineering