Senior Data Analyst

About This Opportunity

We are representing a leading European data and AI consulting firm with a strong presence across multiple continents. Our client is seeking a Senior Data Analyst to join their Paris team and work with major corporations across retail, luxury, consumer goods, healthcare, finance, and industrial sectors.

This role sits within a thriving analytics team of 60+ professionals, part of a broader technical community of 160+ specialists. You'll work on high-impact client engagements while contributing to a collaborative culture of knowledge sharing and continuous learning.

Responsibilities

• Frame analytics use cases with business stakeholders, validate data availability, and define implementation approaches
• Design and build dashboards, data products, and pipelines that enable business decision-making
• Translate business requirements into scalable analytics architectures and data models
• Apply modern analytics engineering practices including proper data modeling, testing, and version control
• Leverage generative AI capabilities to maximize value delivery for clients
• Extract actionable insights from complex datasets and communicate findings clearly to stakeholders
• Serve as a trusted technical advisor, building strong relationships with client teams
• Mentor junior analysts and contribute to team knowledge through workshops and documentation
• Participate in internal technical communities and maintain awareness of emerging technologies

What We're Looking For

Required:

• 3+ years of hands-on experience in data-driven environments
• Deep expertise in at least one of these domains:
  • Dashboarding & Visualization: Power BI, Looker, Tableau, or Superset
  • Analytics Engineering: dbt with BigQuery, Snowflake, or Databricks
  • Marketing Analytics: CDP platforms (Treasure Data, Hightouch, Tealium), MMM, attribution, clean rooms
  • Low-Code Data Science: Dataiku, Copilot Studio, or similar platforms
• Strong SQL and Python skills
• Experience with Git and software engineering fundamentals (versioning, testing, code quality)
• Hands-on experience working in cloud environments (GCP, Azure, or AWS)
• Intellectual curiosity and pragmatic problem-solving approach
• Ability to bridge business and technical teams effectively
• Strong communication skills to build client trust and credibility
• Autonomy and reliability in project delivery

Nice to Have:

• Experience applying generative AI to analytics workflows (conversational interfaces, AI-assisted BI)
• Breadth across multiple analytics domains listed above
• Understanding of statistics and machine learning fundamentals

How We Work With You

When you apply through Get A Job.ai, our recruiting team will review your profile and conduct an initial screen. If there's a strong match, we'll guide you through the client's selection process, which includes technical, business, and cultural fit interviews. We act as your advocate throughout—please do not contact the client directly, as all communication is managed through our talent team.

Pay

Compensation details will be discussed during the screening process based on your experience and the client's budget.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We evaluate all candidates based on qualifications and merit, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.