Marketing Effectiveness Senior Specialist

Job Title: Marketing Effectiveness Senior Specialist

About us: With over 200 brands sold in nearly 180 countries, we're the world's leading premium drinks company. Bring your passion and use your curiosity as you explore, collaborate, and innovate to build brands consumers love. Together with passionate people from all over the world, you'll test new ideas, learn and grow, and unlock a brighter, more exciting future.

Join us to create a career worth celebrating.

About the Function:

Our Sales team love building relationships, connecting with customers to sell our much-loved brands in new and vibrant markets where they can thrive. They help sell our iconic brands across 180 countries every year.

We're operating across different markets, channels, and areas of expertise. Using your curiosity and passion, you'll make the most of consumer insight and digital platforms, reaching new customers, markets, and celebrations to help us achieve our growth potential. We'll support your learning and growth as you develop your career with us and work with people across our business to realise your fullest potential.

About the team:

About the role: (TE)

Role Purpose

Own the end-to-end data and insight flow that powers Business Drivers Modelling. This role coordinate markets, Data Ops, and our modelling partner (Gain Theory) to deliver timely, high-quality inputs, translate model outputs into clear, business-ready insights and support smarter marketing investment decisions at speed.

Key Responsibilities

• Data orchestration & quality. Partner with Data Ops to extract, validate, and deliver all required datasets to the modelling partner, meeting Data Quality standards and timelines. Maintain data dictionaries, lineage, and audit trails, proactively resolve gaps, anomalies, and late submissions.
• Market coordination & governance. Coordinate with each market to validate inputs and secure sign-off on datasets used for modelling. Standardize templates and SLAs, drive adherence to data readiness checkpoints.
• Partner/agency collaboration. Serve as day-to-day contact for the modelling partner on delivered data, assumptions, and queries-triaging with Data Ops, markets, and stakeholders as needed. Track requests/issues to closure document decisions and changes.
• Insight generation & storytelling. Convert model outputs into clear, decision-ready insights (top edits, performance drivers, budget reallocation guidance). Build concise summaries and visualizations, support ME leads during readouts and capture next steps.
• Stakeholder management. Work closely with ME leads and cross-functional stakeholders (Global/Regional/Market teams, Finance, Media) to surface questions, align on hypotheses, and prioritize analysis. Act as a resource for team members and contribute to small projects with limited risk and resource needs.
• Continuous improvement. Identify opportunities to streamline data pipelines, documentation, DQ checks, and standard reports/dashboards. Champion best practices in measurement and knowledge management.

Required Skills (Core)

• Marketing measurement: Understanding of MMM/business driver modelling concepts (e.g., base vs. incremental, diminishing returns, channel synergy, budget reallocation).
• Data fluency: Ability to combine data from multiple sources, diagnose trends/outliers, and reconcile conflicting signals into a simple narrative.
• Communication: Crisp written and verbal storytelling, able to explain complex topics to non-technical audiences and build alignment.
• Project management: Multi-stakeholder coordination, delivery planning, RAID/issue logs, and on-time delivery.

Tool Proficiency

Must-have

• Excel (advanced): PivotTables, Power Query, data transformation & quality checklists.
• SQL: Querying large tables, joins, aggregations, window functions for QC and extracts.
• Power BI: Data modeling, DAX basics, visuals, and publishing.
• PowerPoint: Executive-ready insight packs and top edits.

Nice-to-have / Advantage

• Python for ad-hoc wrangling and model-output processing.
• Databricks /BigQuery or equivalent cloud data platforms.
• Familiarity with MMM vendors and media/platform data

Qualifications & Experience

• 7+ years in analytics/marketing effectiveness, marketing science, or related data roles.
• Bachelor's in Statistics, Economics, Marketing Analytics, or similar (Master's a plus).
• Hands-on experience coordinating data for modelling and translating model outputs into business recommendations.

Ways of Working / Stakeholders

• Primary: Data Ops, ME leads, Modelling Partner Agency.
• Secondary: Markets/Brands, Media/COE, Finance, Insights.
• Operates as an individual contributor who can mentor peers, lead small workstreams, and impact adjacent teams through best-practice sharing.

Experience / skills required: (TE)

Flexible Working Statement: Flexibility is key to our success. From part-time and compressed hours to different locations, our people work flexibly in ways to suit them. Talk to us about what flexibility means to you so that you're supported from day one.

Rewards & Benefits Statement: (TE)

Diversity statement: Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this.

We embrace diversity in the broadest possible sense. This means that you'll be welcomed and celebrated for who you are just by being you. You'll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, mindsets, and more.

Ourambitionistocreatethebestperforming,mosttrustedandrespectedconsumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world.

Feel inspired Then this may be the opportunity for you.