Business Analyst Nestle

A Day in the Life

• Collect, combine, and analyze insights from internal and external data sources.
• Define key indicators to measure performance and track results effectively.
• Gather and integrate external data, including market trends, consumer behavior, and competitor insights, with internal data such as channel performance, key campaigns, and ongoing programs.
• Update, clean, maintain, and enrich databases to ensure optimal data quality.
• Conduct ad hoc deep dive analyses on topics such as segmentation across B2C and B2B channels, regions, and sales channels, both reactively and proactively.
• Develop forecasting and predictive models to provide long term insights.
• Translate analytical findings into actionable recommendations to support business initiatives, including consumer journey strategies and campaign management.
• Support channels and product/activation teams in their forecasting activities.
• Deliver periodic reporting on key KPIs and expected developments to stakeholders, sales channels, and HQ.
• Complement standard reports with bottom up channel views based on ad hoc requests, in coordination with above market services.
• Monitor and report on relevant trends within the database and communicate insights regularly across the organization.
• Provide evaluation reports on consumer experience campaigns and marketing activities.

What Will Make You Successful

• University degree in Mathematics, Statistics, Econometrics, or Quantitative Marketing.
• Minimum of 3 5 years of experience in data mining, CRM, or direct marketing.
• Proven experience in project management.
• Proficient in SPSS, SAS, or similar statistical software.
• Skilled in Cognos, SQL, or other data querying tools.
• Strong analytical experience using software tools in a business oriented environment.
• Experience with geo analytical software (e.g., Regiograph, MapInfo) is a plus.
• Experience in retention activities and churn risk modeling is preferred.
• Familiarity with campaign management tools is an advantage.
• Experience working with Power BI is preferred.
• Experience with Snowflake or similar cloud based data platforms is beneficial.
• Experience in data quality management, including data cleansing, validation, and governance, is an added asset.