Jobtailor Frankfurt am Main vor 4 Tagen

Junior Data Analyst

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Das ist der Job

Programming/analysis skills in Python and/or R as well as confident use of Excel; SQL is an advantage.

Darum lohnt es sich

Create scenarios and budget simulations and, together with the team, derive concrete optimization and action recommendations.

Team player, high willingness to learn and very good written and spoken German and English. #J-18808-Ljbffr 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 enjoyment in questioning models and validating them rigorously; knowledge of marketing/media KPIs is a plus.

You enjoy collaborating with clients and external service providers/partners and are willing to gather requirements, coordinate alignments and represent results convincingly. Structured, careful working style, strong analytical thinking and the ability to explain complex relationships clearly.

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