[Hiring] Senior Business Data Analyst @Blue Orange Digital

Role Description

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

• Sitting in the (virtual) 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.
• 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 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.

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 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.

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.

Salary

$5,833 - $7,500 USD monthly

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equal-opportunity employer.