Why we are looking for support

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.

Your tasks

Depending on experience level and role, responsibilities may include: 

• 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 

Requirements

• 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 

What We Offer

Nice to Have

What We Value: 

• 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