Analytics & AI Consultant (m/f/d)

We are looking for an Analytics & AI Consultant or Manager to join our Consumer Goods Analytics Practice in Greece. 

The role focuses on helping clients improve commercial decision-making by connecting retail sell-out data, CRM and field sales data, trade promotion data, and operational data into usable analytical solutions and business insights.

This is not a pure data science role. Candidates are expected to understand how analytics supports commercial business processes and be comfortable working directly with business stakeholders.

• Building dashboards and analytical reporting solutions 
• Developing and maintaining ETL/ELT pipelines
• Harmonizing fragmented commercial and retail datasets 
• Conducting pricing, promotion, and forecasting analysis 
• Designing KPI frameworks and commercial analytics models 
• Supporting TPM, RGM, and Retail Execution analytics initiatives
• Translating business requirements into analytical solutions
• Supporting AI and GenAI proof-of-concepts and implementations 
• Leading workstreams and coordinating delivery activities 
• Facilitating client workshops and stakeholder discussions 
• Supporting proposals and analytics solution scoping 
• Advising clients on analytics and AI transformation opportunities 

• Client communication 
• Workstream leadership 
• Solution architecture 
• Proposal development
• Team coordination 
• Commercial advisory activities 

• 3-5 year of experience in analytics, BI, engineering, or consulting
• Strong SQL and Excel skills
• Strong analytical and modeling capabilities using Python or R 
• Experience with visualization tools such as Power BI or Tableau 
• Exposure to FMCG, retails, CRM, or sales data environments is beneficial 
• Ability to independently manage workstreams and communicate with business stakeholders 
• Ability to connect analytics initiatives to measureable business outcomes 
• A plus would be an understanding of Consumer Goods commercial processes 

• Structured problem solving 
• Practical mindset
• Strong communication skills
• Commercial awareness 
• Ability to work independently 
• Ability to operate in imperfect and changing client environments 
• Interest in Consumer Goods business processes and transformation 
• Ability to bridge business and technology discussions 

Experience working with some of the following data domains is expected:

• NielsenIQ/ Circana / Kantar data
• Retailer direct data sources and portals 
• ERP data (SAP, Oracle, Dynamics) 
• CRM and field sales data
• TPM/ TPO data
• Pricing and promotion data
• Customer and product master data