Build and maintain a promotional effectiveness tracking model — measuring actual ROI vs planned
Collaborate with countries to conduct pre
and post-promo analysis to identify what works, at what cost, and for which products
Own and continuously maintain a structured competitive landscape view across Emma's core categories
Track competitor pricing, product launches, positioning changes, and promotional activity across key markets
Serve as the analytical partner to Global and Regional Category Managers — providing the data backbone for strategic decisions
Build and validate business cases for new product investments, portfolio changes, and category expansion
Develop self-service analytics tools and templates that help the broader category team make faster, better decisions
Requirements
5–8 years in pricing, strategy, business analytics, revenue management, or category performance in a consumer goods, DTC, e-commerce, or retail context
Proven experience designing or operating pricing frameworks and governance processes
Experience working with BI tools and building performance dashboards (Tableau, Power BI, Looker, or equivalent)
Experience using statistics and data science to inform business and commercial decisions
Experience with competitive intelligence and market analysis methodologies
Background in building business cases and financial models for portfolio or pricing decisions
Highly analytical and data-literate: you are comfortable in Excel and BI tools, and can build models independently
Solid foundation in statistics (hypothesis testing, regression basics, distributions, interpreting outputs) and clear understanding of clustering methods (e.g., k-means) and their practical limitations
Working knowledge of Python for data analysis (e.g., pandas, basic scripting, data cleaning, exploratory analysis)
Track record of translating complex data into clear, decision-ready business recommendations
Pricing-first thinker: you understand the interplay between pricing, perceived value, volume, and margin
Structured and rigorous: you build frameworks that hold up under scrutiny and can be used repeatedly
Business-oriented: you translate insights into decisions, not just reports
Strong communicator: able to present complex analytical findings clearly to non-analytical audiences including leadership
Collaborative: you work as a service partner to category managers — empowering their decisions, not replacing them
Proactive: you spot issues and opportunities before being asked, and you come with solutions
Tech Stack
Pandas
Python
Tableau
Benefits
Pet-friendly environment, where you can bring your furry desk buddy;
Discounts on our top-notch products;
Health insurance including dentist;
24 days holidays/year +1 day/year at Emma (máx. 29 days);
The opportunity to collaborate with multinational teams;
Exciting events that aren't just team-building exercises but opportunities to create epic memories.