Senior Business Data Analyst

Blue Orange Digital
Remote

About The Position

Blue Orange Digital is seeking a Senior Business Data Analyst to join their team. This role acts as the connective tissue between US-based clients' business stakeholders and the data they need. The analyst will own client engagements end-to-end, translating business questions into analytical problems and delivering data products. This is a leadership role where the analyst will set agendas, push back on vague requirements, propose better questions, and own the outcome. A strong emphasis is placed on leveraging AI tools to accelerate work and improve quality. The role requires fluency with current AI tools and their responsible application. The analyst will work with US operators and executives, drive proactive analysis, and mentor junior analysts.

Requirements

  • 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 with US or English-speaking clients
  • Professional working proficiency in English, written and spoken, with the comfort to lead workshops, present findings, and push back on stakeholders in real time
  • Ability to work US business hours with significant overlap to Eastern or Pacific Time
  • Expert SQL: window functions, CTEs, performance tuning, and the ability to sanity-check your own numbers before anyone else has to
  • Working fluency with AI tools for analytical work (Claude, ChatGPT, Copilot, AI features inside BI and SQL tools) and a clear point of view on where they speed you up vs. where they introduce risk
  • 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 with different priorities
  • Excellent written and verbal communication, with the judgment to scale your message to the audience in front of you
  • 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)
  • Prior experience working as part of a US-based consulting or agency team
  • Familiarity with data quality frameworks, observability tools, or governance practices
  • Experience implementing or evaluating AI-native analytics tools (text-to-SQL platforms, AI BI assistants, semantic layers)
  • Bilingual in Spanish or Portuguese in addition to English

Responsibilities

  • Lead client-facing discovery sessions in English with US-based operators, analysts, and executives to elicit, document, and prioritize business requirements
  • 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, 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 (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, all conducted in English on US business hours
  • Mentor junior analysts on the engagement and contribute to BOD's analytics playbooks, templates, and internal tooling

Benefits

  • Work on diverse, high-impact engagements with US-based Fortune 500 and high-growth clients
  • 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
  • Fully remote, with the autonomy of contractor work and the team support of a tight-knit consultancy
  • Direct collaboration with US team members and clients, not isolated offshore delivery
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service