Data Analyst

About The Company

We are Nestlé, the world’s leading food and beverage company. More than 308,000 employees are committed to our mission: to improve the quality of life and contribute to a healthier future.

Our values ​​are rooted in respect: respect for ourselves, respect for others, respect for diversity, and respect for our future. We are present in more than 85 countries with more than 413 factories.

We believe that our employees are our most important asset, and we are committed to offering you an inclusive and dynamic international work environment with many opportunities throughout our different businesses, functions, and geographies, working with diverse teams and cultures.

The Vacancy – Data Analyst

We are Nespresso, and we are proud to be one of the fastest-growing Nestlé operating units. Our passionate, entrepreneurial-minded team has transformed Nespresso into a benchmark in the capsule coffee category and one of the most credible brands in the world.

The cause of our growth comes from our commitment to research and development. We guarantee the quality of our product, being very careful throughout the production process, from the supply of our ingredients and production to the marketing of our premium coffee products.

The headquarters of our corporate headquarters is in Lausanne, Switzerland, and we are present in more than 60 countries, with more than 12,000 collaborators worldwide. To learn more, visit www.nespresso.com.

Position Snapshot Nespresso Location: Barcelona, Spain Permanent Contract

Position Summary

Providing insights to improve the consumer experience and business results by collecting, combining, and translating data on customers (behavior), consumers, prospects, market, and competition. A day in the life of…

• Collect, combine and analyze insights
• Define indicators to ensure the measurement of results
• Collect and combine external data (e.g., market trends, consumers, and competitors) and internal data (e.g., channels, key campaigns, and ongoing programs)
• Update the database with all internal and external data and clean, maintain and enrich the database to optimize data quality
• Perform (Adhoc) analyses (deep dives) based on data on e.g. segmentation for B2C and B2B channels, regions, and sales channels, both reactively and proactively
• Develop forecasting & predictive models to generate long-term insights

Provide insights

• Translate data from analyses requested by all departments into actionable recommendations for all business initiatives, e.g., the consumer journey strategy, campaign management
• Assist channels in their forecasting activities

Standard reporting

• Provide periodic reporting on key KPIs and expected developments to MT stakeholders, sales channels, and HQ, e.g., data on active base, average consumption, and channel preference
• Complement reports with bottom-up channel views
• Monitor and report relevant trends within the database and communicate them within the organization on a regular basis
• Provide evaluation reports of consumer experience campaigns and marketing activities
• Build Business Cases for future promotional activities
• Work hand to hand with two other analysts in order to avoid duplicating and complement each other on the tasks
• Work close to the other teammates to complement the knowledge of both analytical and strategic skills
• Approach to other departments, in one hand, retail, to help with the customer behavior related to retail sales, and in the other hand, sales, to have the best approach in the market and NN sales forecasts
• Have a close relationship with Nestlé Market Intelligence to be aware of all the new tools and studies of interest for us

What will make you successful Education:

• University degree in Mathematics/Statistics/Econometrics

Professional experience:

• Experience in data mining/ CRM/ Direct Marketing
• Proven competency in project management
• Knowledge of SPSS/SAS or similar statistics package and of Cognos / SQL or other data query tool
• Analytical experience using software tools in a business-oriented environment

Preferably also:

• Experience with geoanalytical software (Regiograph, Mapinfo, etc.)
• Experience in retention activities and churn risk modeling
• Experience with campaign management tools

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