Senior Business Data Analyst

🕒 il y a 1 mois

🗣️🇺🇸🇬🇧 Anglais requis

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Blue Orange Digital

51 - 200 employés

Fondée en 2015

🤖 Intelligence artificielle

🤝 B2B

🏢 Entreprise

💰 €700 000 Corporate round en 2022-05

Artificial Intelligence • B2B • Enterprise

Blue Orange Digital est un cabinet de conseil spécialisé en données et en intelligence artificielle qui aide les entreprises à transformer des données complexes en résultats commerciaux concrets. Il s'associe à des organisations de divers secteurs pour concevoir et déployer des infrastructures de données évolutives, des analyses avancées et des solutions alimentées par l'IA, tout en opérant en tant qu'équipe entièrement à distance et distribuée à l'échelle mondiale, focalisée sur la construction de systèmes pratiques et prêts pour la production.

Description

• 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, 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 • Mentor junior analysts on the engagement and contribute to BOD's analytics playbooks, templates, and internal tooling

🎯 Exigences

• 5+ years of experience as a business analyst, data analyst, BI analyst, or analytics consultant • 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, 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 • 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 • 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

🏖️ Avantages

• Comprehensive health, dental, and vision benefits • 401(k) with company match • Professional development budget and certification support • Flexible remote work environment with a collaborative, high-talent team

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