Darum lohnt es sich
Create scenarios and budget simulations and, together with the team, derive concrete optimization and action recommendations. Responsibilities Support the design, data preparation and documentation of Marketing Mix Models (MMM) for branding and/or performance objectives.
Analyze heterogeneous data sources (e.g., media spend, campaign KPIs, sales/leads, promotion, pricing and seasonal data) and check data quality and plausibility. Contribute to modeling (e.g., regression, time‑series approaches, adstock/saturation functions) and assist in validating and interpreting results.
Prepare results for different audiences (charts/slides, brief executive summaries) and present insights and recommendations in meetings/workshops – internally and to clients. Work closely with colleagues from Data Science, Consulting, Engineering and Marketing and develop your methods and tools on the job.
Requirements Completed degree (or near completion) with a quantitative focus, e.g. (Business) Informatics, Statistics, Mathematics, Economics, Data Science or a comparable field. Initial practical experience with data analysis (e.g. internship, working student role, thesis) and the motivation to get up to speed in Marketing Mix Modeling.
Strong knowledge of statistics/econometrics (e.g., multiple regression, multivariate methods, time series analysis, hypothesis testing) and enjoymen
