Data Expert – Marketing Mix Modelling (MROI)

Position Snapshot 

Location: Braga/Lisbon (Portugal)

Company: Nestlé Business Solutions (NBS)

Full-time/Hybrid Work: 2 days per week at the office (aligned with our current Policy)

Languages: Fluent in English 

About us

Nestlé Business Solutions (NBS) is at the heart of the Nestlé Group. We provide Supply Chain, Financial, HR, Digital & Social Media, CRM and Consumer Engagement services to enable Nestlé to engage with millions of consumers worldwide. We are a multicultural and diverse team of professionals. We are passionate about digital innovation and driving continuous improvement processes with colleagues across the world.

We are looking for talents who are eager to learn, team player, digitally-savvy, with an entrepreneurial mindset, and who can flourish in a fast-paced, dynamic environment.

If this describes you and you are looking to join a business where you can really add value, it is time to consider joining NBS!

At Nestlé Business Solutions (NBS), diversity and inclusion are core values. If you have any special needs, count on us to adapt your position.

Position Summary

The Data Expert supports Nespresso’s global Marketing Mix Modelling (MMM) and Marketing Return on Investment (MROI) programme by ensuring that all data inputs used in modelling are accurate, consistent, and fit for purpose.

The role focuses on collecting, structuring, validating, and maintaining marketing and commercial datasets required for MMM. While the current setup is manual and semi‑automated, this role is critical to ensuring data reliability as the programme scales across markets.

The Data Expert acts as the Single Point of Contact (SPOC) for markets on all data‑related topics linked to MROI and works closely with local market teams, global stakeholders, and the Marketing Mix Modelling Manager.

A day in the life of...

1. Data Collection & Management

• Collect and consolidate data from multiple global and local sources to support MMM/MROI models
• Manage primarily first‑party data, including:
• Media investment and activity data
• Marketing Mix Modelling inputs
• Promotional and offer data
• Owned and CRM‑related data
• Trade and sales data
• Ensure data is delivered according to MMM model requirements, formats, and timelines
• Maintain clear documentation of data definitions, sources, ownership, and refresh cycles

2. Data Quality & Readiness

• Perform basic data analysis to understand how data is used within MMM models
• Identify inconsistencies, gaps, anomalies, or errors in data submissions
• Proactively flag risks and data limitations before modelling cycles
• Apply repeatable quality checks to ensure accuracy, consistency, and completeness
• Contribute to improving data reliability and scalability over time

3. Market Coordination (SPOC Role)

• Act as the main contact for markets on all MMM/MROI data topics
• Guide markets on data submission requirements, definitions, and quality expectations
• Coordinate data delivery across pilot and rollout markets
• Facilitate issue resolution between markets, data owners, and modelling teams

A successful Data Expert supporting a Marketing Mix Modelling Manager:

• Ensures high‑quality, model‑ready data, recognised externally as the most critical success factor for MMM
• Understands marketing data in business terms, not just technical formats
• Detects data risks early, protecting model credibility and stakeholder trust
• Acts as a trusted bridge between markets, analytics teams, and marketing leadership
• Enables MMM to deliver reliable ROI insights and investment recommendations

What will make you successful

Experience

• Experience in data collection, consolidation, and validation across multiple sources
• Exposure to marketing, commercial, or performance data (media, promotions, sales, trade)
• Experience working with multiple stakeholders and market contacts

Skills

• Strong data structuring and quality‑checking skills
• Ability to run basic analyses to validate datasets
• High attention to detail and structured documentation mindset
• Clear communication skills with technical and non‑technical stakeholders

Nice to have

• Exposure to Marketing Mix Modelling, MROI, or marketing effectiveness analytics
• Experience in multi‑market or global environments