Description

Responsibilities

• Marketing Mix Modeling (MMM) projects execution (data collection, econometric modeling, post-analyses, report creation, presentation delivery)
• Based on various data sources, responsible for the creation of comprehensive analyses in the area of marketing strategy and its optimization
• Development of analytical and consulting products (methodologies) leveraging econometrics and or data science
• Collaboration with a group of fast-paced, extremely dedicated coworkers who are all passionate about analytics & econometrics

What we offer

• Huge learning experience in practical econometrics use in business
• Extremely steep learning curve; first 12-24 months are an investment in employee development & growth targeted at becoming able to independently execute MMM projects
• Becoming a core team member of 20+ econometricians participating in the delivery of local & international MMM projects, cooperating with both external and internal clients
• Having real and tangible impact on marketing strategies of outstanding brands, very often leaders of respective product categories
• Great, collaborative and inspiring work atmosphere with open access to people at all positions
• Various additional benefits like private health care, multisport card and access to learning platforms (DataCamp)

Requirements

• Education: economics & quantitative field (3rd -5th year students are welcome), e.g. econometrics, statistics, market research, economics, mathematics, other scientific or equivalent practical experience
• Practical experience working with R & RStudio (e.g. lm function), familiarity with the Tidyverse (dplyr, tidyr, magrittr etc.) is an advantage, but is not required
• Person full of passion to work at the interface between analytics, data and consulting
• Attentive and error-avoiding person
• Very good command of English
• Readiness to accept challenges
• Willingness to grow and develop in the area of client relationship building
• High priority assigned to constant development of oneself
• Availability of minimum 36h/week (if student, working hours can be flexibly adjusted to university courses)