Business Analyst

Main objectives

• Measure & Analyze: Monitor commercial and operational performance across all group brands and assets
• Actionable Insights: Empower diverse departments (Marketing, Sales, RCM, Ops, Fleet, etc.) to prioritize actions through data-driven recommendations
• Bridge the Gap: Act as a Central of Insights to transform raw data into high-impact visualizations and decision‑making tools

Major areas of Accountability

1. Performance Analysis & Strategic Opportunities

• Analyze weekly/monthly performance to raise alerts and identify growth or optimization levers
• Conduct advanced ad‑hoc analyses (Fleet utilization, Pricing, Capacity, Conversion, ROI) to support strategic decisions

2. Data Visualization & Dashboarding

• Design and maintain interactive dashboards within Qlik Cloud & Metabase
• Responsible for front‑end logic, UI/UX, and data storytelling

3. Cross‑Functional Collaboration & Multi‑Department Support

• Strategic Business Partner: Primary analytical contact for Marketing, Sales, RCM, Ops, and Fleet to optimize their specific levers (pricing, conversion, capacity, etc.)
• Operational Steering: Contribute to budget definitions and target tracking in coordination with operational leads to ensure data‑driven financial alignment

4. Data Culture Development

• Promote a "data‑driven" culture across the organization by capitalizing whenever suitable on the Insights learnt through specific apps
• Foster a culture of autonomy by guiding non‑technical users to interpret KPIs and leverage Qlik Cloud tools independently

5. Data Governance & Pipeline Optimization

• Data Reliability: Partner with Data Engineers to ensure the accuracy and consistency of business KPIs across all reporting layers (BigQuery, Qlik)
• Process Improvement: Identify gaps in data collection and advocate for new tracking or data structure improvements to support evolving business needs

Required Profile

Education

Master's degree in Engineering, Data Science, or Business School

Previous experience

5 to 7 years of experience as a Business Analyst, Data Analyst, or Consultant with a strong analytical background

Technical Competencies

• Data Viz: Solid experience with Qlik Cloud apps fabrication (preferred), Tableau, or PowerBI
• Data Languages: Proficiency in SQL (Big Query environment) and Python is a significant advantage and very strongly encouraged
• Tools: Mastery of Google Sheets/Excel
• English: Fluent (international environment)

Soft Skills

• Adaptability: Comfortable in a building‑phase environment where you can be a force for proposal
• Communication: Ability to interact with diverse audiences, from operational field teams to senior management
• Business Acumen & statistical reasoning: Strong curiosity for the operational reality (Fleet, Sales, etc.) behind the numbers