Senior Business Data Analyst

Role overview This Senior Business Data Analyst role sits at the intersection of business stakeholders and the data products they depend on. The analyst leads client-facing engagements end to end, running discovery with operators and executives, reframing messy questions into structured analytical problems, and delivering dashboards, KPI frameworks, and decision-support tools that actually get adopted. The work is delivered within a builder-led culture that pairs deep SQL and modeling skills with consultant instincts and fluency in modern AI tooling.

Responsibilities - Lead client-facing discovery sessions to elicit, document, and prioritize requirements across operators, analysts, and executives. - Translate ambiguous business problems into data models, dashboards, KPI frameworks, and decision-support tools, plus drive proactive analysis that surfaces trends and opportunities clients did not ask about. - 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 in Looker, Tableau, Power BI, Sigma, or whichever tool the client uses. - Apply AI tooling, including LLM-based analysis, text-to-SQL, agentic data exploration, and AI-assisted documentation, to compress timelines while raising quality. - Run client communication cadence through status updates, demos, working sessions, and stakeholder reviews, and mentor junior analysts on the engagement.

Requirements - 5+ years as a business, data, BI, or analytics consultant, with at least 2 years client-facing or embedded. - Expert SQL including window functions, CTEs, and performance tuning, with the judgment to sanity-check numbers before anyone else does. - Strong data modeling fundamentals (dimensional modeling, star/snowflake schemas) and experience with dbt or equivalent transformation tooling. - Hands-on experience with at least one cloud data warehouse (Snowflake, Databricks, BigQuery, or Redshift) and at least one modern BI tool (Looker, Tableau, Power BI, Sigma, or Mode). - Demonstrated ability to lead client conversations, run requirements workshops, push back constructively, and align stakeholders with competing priorities. - Working fluency with AI tools for analytical work and a clear view on where they help versus where they introduce risk.

Nice to have - Domain experience in commercial real estate, financial services, healthcare technology, or insurance. - Python for analytical workflows, experience scoping or pricing analytics work, familiarity with data quality or observability tooling, and exposure to AI-native analytics platforms such as text-to-SQL or semantic layers.

Benefits and work setup - Base salary of $130,000 to $160,000 plus performance bonuses, comprehensive health, dental, and vision benefits, and a 401(k) with company match. - Professional development budget and certification support, plus direct access to Snowflake, Databricks, AWS, GCP, and Azure. - Flexible remote work environment with a collaborative, high-talent team.