Labelium

Analytics Engineer

• Analyze data access requirements
• Implement data pipelines and data models
• Expose data in BI tools
• Maintain and implement alerts

Lead Analytics Engineer

Data Scientist

• Support our clients in implementing complex models
• Develop tailored data products and approaches for our clients
• Apply data science to marketing
• Support the team's upskilling
• Deploy Marketing Mix Modeling solutions for our clients
• Work on various approaches to measuring marketing performance

Senior Data Science Consultant

Consultant

• Manage a portfolio among our largest clients with varied performance objectives (qualified traffic / leads / CPA / ROAS / Margin / Store Visits / Direct Store Sales…)
• Define SEA strategy across different industry sectors.
• Translate marketing objectives into media KPIs and structured projects.
• Build a detailed, evolving roadmap.
• Implement this roadmap operationally.
• Develop data visualization solutions with the help of Data Analysts: custom reports, automated dashboards (Data Studio, Tableau, ...).
• Monitor the main media platforms (Google Ads, Bing Ads, Search Ads 360, ...).
• Leverage our SmartFeeds technology suite to innovate in media campaign management (HubMetrics, SmartFeeds, AdScale).
• Contribute to discussions aimed at improving our technology suite.
• Participate frequently in SEA tenders.

Senior SEA Consultant

• Design, deliver and lead advanced projects that leverage our clients' proprietary data to achieve their objectives across paid marketing channels and large language models (LLMs).
• Use generative AI to enrich product data (descriptions, images, and new attributes for LLMs).
• Data-driven optimization of advertising algorithms through orchestration of clients' specific data (margins, store visits/revenue, etc.).
• Analyze marketing performance of product catalogs and develop intelligent marketing strategies.
• Provide reliable measurement of optimization and campaign performance (incrementality tests / geographic tests / causal analyses).
• Support Arcane's largest clients on these challenges.
• Represent Arcane's expertise and operational excellence with expert stakeholders.
• Coordinate and mentor junior consultants in project delivery.

Lead Analytics Engineer

Senior Data Science Consultant

Senior SEA Consultant

Lead Consultant, Data