Senior Business Data Analyst

Blue Orange Digital is a data and AI consulting firm that helps companies turn complex data into real business outcomes. We partner with organizations across industries to design and deploy scalable data infrastructure, advanced analytics, and AI‑powered solutions. Our team is fully remote, globally distributed, and driven by curiosity, impact, and innovation.

Blue Orange Digital is a data engineering and AI consultancy that builds production‑grade data platforms, ML systems, and analytics solutions for companies that take their data seriously. We are not a staff augmentation shop or a slide‑deck consultancy. We are builders. Our teams embed directly into client engineering and operations organizations, shipping work alongside their teams to accelerate delivery and build lasting capability.

Our clients include Fortune 500 enterprises and high‑growth companies across commercial real‑estate, financial services, healthcare technology, and other data‑intensive industries. We partner with Snowflake, Databricks, AWS, GCP, and Azure to deliver solutions that drive measurable ROI.

Note: Please submit your resume in English, as all application materials must be in English for review and consideration.

Location: Remote (United States)

Level: Senior

Service Line: Analytics & BI / Data Strategy / Embedded Delivery

Employment: Full‑time

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, and delivering data products that change how decisions get made.

This is not a ticket‑taker role. You will lead engagements. You will set the agenda for client working sessions, push back when requirements are vague, propose better questions than the ones being asked, and own the outcome from discovery through adoption. Our best analysts pair deep SQL and modeling skills with the instincts of a consultant: you read the room, manage the room, and ship work the room actually uses.

You will also lean hard on AI. We expect every analyst at BOD to be fluent with the current generation of AI tools and to know where they help, where they hurt, and how to apply them responsibly to client work. Analysts who treat AI as an accelerator move three times faster than analysts who do not, and we are building the practice around that reality.

• Lead client‑facing discovery sessions to elicit, document, and prioritize business requirements with operators, analysts, and executives

• Translate ambiguous business problems into structured analytical work: data models, dashboards, KPI frameworks, and decision‑support tools that get adopted

• Write production‑quality SQL against Snowflake, Databricks, Big Query, 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 (LLM‑based analysis, natural language to SQL, agentic data exploration, AI‑assisted documentation) 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

• 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 before anyone else has to

• 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, Big Query,…