Senior Business Data Analyst

Role Description

We are hiring a Senior Business Data Analyst who acts as the connective tissue between our clients' business stakeholders and the data they need to run their companies. You will own client engagements end to end:

• Sitting in the room with operators and executives, translating their messiest business questions into clean analytical problems.
• Delivering data products that change how decisions get made.
• Leading engagements and setting the agenda for client working sessions.
• Pushing back when requirements are vague and proposing better questions than the ones being asked.
• Owning the outcome from discovery through adoption.
• Pairing deep SQL and modeling skills with the instincts of a consultant.
• Leaning hard on AI tools to accelerate work.

What You Will Do

• Lead client-facing discovery sessions to elicit, document, and prioritize business requirements.
• Translate ambiguous business problems into structured analytical work: data models, dashboards, KPI frameworks, and decision-support tools.
• Write production-quality SQL against Snowflake, Databricks, BigQuery, or Redshift, and build trusted models in dbt or the client's modeling layer.
• Build and maintain dashboards and reporting in Looker, Tableau, Power BI, Sigma, or the tool the client lives in.
• Drive proactive analysis: surface trends, anomalies, and opportunities the client did not ask about but needs to see.
• Apply AI tooling to compress timelines and raise the quality bar on every deliverable.
• Set the cadence for client communication: status updates, demos, working sessions, and stakeholder reviews.
• Mentor junior analysts on the engagement and contribute to BOD's analytics playbooks, templates, and internal tooling.

Qualifications

• 5+ years of experience as a business analyst, data analyst, BI analyst, or analytics consultant, with at least 2 years in a client-facing or embedded role.
• Expert SQL: window functions, CTEs, performance tuning, and the ability to sanity-check your own numbers.
• Strong data modeling fundamentals (dimensional modeling, star/snowflake schemas, dbt or equivalent transformation tooling).
• Hands-on experience with at least one cloud data warehouse (Snowflake, Databricks, BigQuery, Redshift) and at least one modern BI tool (Looker, Tableau, Power BI, Sigma, Mode).
• Demonstrated ability to lead client conversations: running requirements workshops, pushing back constructively, and driving alignment across stakeholders.
• Working fluency with AI tools for analytical work (Claude, ChatGPT, Copilot, AI features inside BI and SQL tools).
• Excellent written and verbal communication, with the judgment to scale your message to the audience.
• Bias toward action: You would rather draft a working hypothesis and a v1 dashboard than wait for perfect requirements.

Nice to Haves

• Domain experience in commercial real estate, financial services, healthcare technology, or insurance.
• Python for analytical workflows (pandas, notebooks, light scripting against APIs).
• Experience scoping and pricing analytics work, or contributing to SOWs and statements of work.
• Familiarity with data quality frameworks, observability tools, or governance practices.
• Prior consulting or agency experience and comfort with utilization, billing, and multi-client context switching.
• Experience implementing or evaluating AI-native analytics tools (text-to-SQL platforms, AI BI assistants, semantic layers).

Benefits

• Competitive base compensation with performance bonuses.
• Comprehensive health, dental, and vision benefits.
• 401(k) with company match.
• Work on diverse, high-impact engagements across industries.
• Direct access to leading-edge data and AI stacks (Snowflake, Databricks, AWS, GCP, Azure).
• Builder culture where analysts lead engagements and ship work, not slides.
• Professional development budget and certification support.
• Flexible remote work environment with a collaborative, high-talent team.