Business Intelligence Analyst

Division / Department: Business Operations / FP&A (Biz Ops / Rev Ops)
Reports to (position): Manager, Financial Planning & Analysis (Biz Ops / Rev Ops)
Level / Grade: Analyst
Location: Remote (US)
Employment Type: Full Time, Exempt
Work Conditions: Remote Office Environment
Travel: Minimal
Telecommute: Yes
Minimum Education al Req: Bachelor's degree in a quantitative, business, or related field, or equivalent practical experience.
Years of

Experience:

2-4 years of experience in a data, analytics, BI, or FP&A support role; strong internships or academic projects count.

The Business Intelligence Analyst sits on the FP&A team but serves the entire organization. You will query data from our data lake, turn it into clean and trustworthy reports and dashboards, analyze the data and deliver insight that helps leaders across the business make better decisions. This is a hands-on, data-focused/FP&A role built for someone who is fluent with modern tools, including AI, and eager to grow into a broader analytics or finance career.

This is a high-visibility seat: your work will inform decisions made by department leaders, the executive team, and our board and investors. You will not be expected to know everything on day one, but you will be expected to be curious, precise, and quick to learn.

• Query our cloud data lake using SQL and AI-assisted tooling to answer business questions and produce the inputs behind recurring reporting.
• Build and maintain recurring reports and dashboards, KPI trackers, operational metrics, and finance and business performance views, in the company's business intelligence platform.
• Embed AI into our reporting processes, using tools such as Claude and Copilot to automate data preparation, accelerate analysis, and build AI-assisted outputs into how reports are produced and delivered.
• Own data integrity across your reporting: reconcile figures to source systems, validate them against defined business rules, and proactively surface and resolve discrepancies before anything reaches a stakeholder.
• Deliver business insight and data clarity, translating stakeholder questions across departments into well-scoped analysis, and presenting results in a way that makes the story in the data clear and actionable.
• Establish and maintain documentation for data definitions, report logic, and reporting processes, ensuring consistency, transparency, and continuity across the analytics function.
• Help build a scalable reporting and data infrastructure, standardizing datasets, automating manual steps, and extending the company's unified data layer so reporting can grow without adding headcount.
• Partner with leaders across the business to understand their reporting needs and turn them into dashboards and reports they use.
• Collaborate with data engineering on schema changes, new data sources, and pipeline issues that affect downstream reporting.

• Rigor: Strong commitment to data integrity, careful, detail-oriented, and skeptical of your own numbers until they tie out to source.
• Communication: Able to explain findings clearly to non-technical stakeholders (ELT and Board level) in writing and in conversation.
• Curiosity & Ownership: Digs into why a number looks off instead of taking it at face value, and proactively flags or fixes reporting gaps, inefficiencies, and stale processes rather than waiting to be asked.
• Adaptability: Picks up new tools quickly without getting attached to a specific platform, juggles multiple stakeholder requests at once, and favors the simplest report that answers the question over the most complex one.

• Reporting: Hands…