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- Aufgaben: Dive into data analytics and master Marketing Mix Modelling with large datasets.
- Arbeitgeber: Join Red Bull's Global Brand Marketing Team at our HQ in Salzburg, Austria.
- Mitarbeitervorteile: Enjoy a competitive salary, diverse work culture, and opportunities for personal growth.
- Warum dieser Job: Gain hands-on experience in a dynamic international environment while driving impactful insights.
- Gewünschte Qualifikationen: Master's degree in relevant fields and 2+ years of Data Science experience required.
- Andere Informationen: We celebrate diversity and welcome applications from all backgrounds.
Are you ready to dive into data analytics and master Marketing Mix Modelling?
If yes, this role is for you! Join our Global Brand Marketing Team at our Red Bull HQ in Salzburg, Austria and drive actionable insights in a collaborative international environment!
All the responsibilities we\’ll trust you with:
SUPPORT THE DATA ANALYTICS INITIATIVES FOCUSSED ON MARKETING MIX MODELLING
You\’ll be mining large datasets using tools such as R or Python to uncover patterns and insights. You\’ll also manage specific aspects of projects, including preparing data and analyzing components of a comprehensive Marketing Mix Model. Additionally, you\’ll be supporting the development of tools and capabilities to improve the understanding, extraction, cleaning, and integration of data from various systems.
ENSURE ACTIONABLE & DATA-DRIVEN INSIGHTS
You\’ll be creating impactful, insight-driven presentations designed to empower markets and departments to make well-informed decisions. You\’ll thrive in a dynamic, international environment, working collaboratively across different functions and teams. You’ll also contribute to a variety of ad-hoc projects based on the organization’s evolving needs.
GET EXPERTISE ACROSS THE ELEMENTS OF THE MARKETING MIX
In this role, you\’ll immerse yourself in every aspect of the modeling process, gaining hands-on experience and building the skills needed to take charge of complete modeling projects in the future.
Your areas of knowledge and expertise that matter most for this role:
- University Masters degree, such as Mathematics, Econometrics, Statistics, Physics, Computer Science, Engineering etc.
- Minimum of 2 years experience, ideally with Data Science experience in the field of Retail /consumer goods data and Marketing Mix Modeling
- Experience in using commercial statistical software packages, e.g. R, Python etc.
- Experience in econometric modelling (systems and analysis)
- Excellent analytical skills, communication and active listening skills
- Good understanding of marketing principles, as well as Consumer/Shopping behavior
Due to legal reasons we are obliged to disclose the minimum salary according to the collective agreement for this position, which is EUR 2.303,00 gross per month. However, our attractive compensation package is based on market-oriented salaries and is therefore significantly above the stated minimum salary.
As an employer, we value diversity and support people in developing their potential and strengths, realizing their ideas and seizing opportunities. We believe passionately that employing a diverse workforce is central to our success. We welcome applications from all members of society irrespective of age, skin colour, religion, gender, sexual orientation or origin.
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Marketing Data Science Specialist Arbeitgeber: Red Bull
Kontaktperson:
Red Bull HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Marketing Data Science Specialist
✨Tip Number 1
Familiarize yourself with Marketing Mix Modelling concepts and techniques. Understanding the fundamentals will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your skills in R and Python, as these are essential tools for the position. Consider working on personal projects or contributing to open-source projects to showcase your proficiency.
✨Tip Number 3
Network with professionals in the data science and marketing fields. Attend relevant meetups or webinars to connect with others who can provide insights into the industry and potentially refer you to opportunities.
✨Tip Number 4
Prepare to discuss real-world applications of data analytics in marketing during your interview. Think of examples where data-driven decisions have led to successful outcomes, as this will highlight your understanding of the role's impact.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Marketing Data Science Specialist
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Marketing Data Science Specialist position. Highlight your experience with data analytics, Marketing Mix Modeling, and relevant software like R or Python in your application.
Tailor Your CV: Customize your CV to emphasize your analytical skills and experience in data science, particularly in retail or consumer goods. Include specific examples of projects where you've used econometric modeling or created impactful presentations.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and marketing. Discuss how your background aligns with the company's goals and how you can contribute to their data-driven decision-making process.
Highlight Soft Skills: In addition to technical skills, emphasize your communication and active listening abilities. Mention any experiences where you've collaborated with diverse teams or contributed to ad-hoc projects, as this is important for the role.
Wie du dich auf ein Vorstellungsgespräch bei Red Bull vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data analytics tools like R and Python. Highlight specific projects where you've successfully mined large datasets and uncovered actionable insights.
✨Understand Marketing Mix Modeling
Familiarize yourself with the principles of Marketing Mix Modeling. Be ready to explain how you would approach building a comprehensive model and the importance of each component in driving marketing decisions.
✨Communicate Effectively
Since you'll be creating presentations for various teams, practice explaining complex data insights in a clear and engaging manner. Use examples from your past experiences to demonstrate your communication skills.
✨Demonstrate Collaborative Spirit
This role requires working across different functions and teams. Share examples of how you've successfully collaborated in previous roles, emphasizing your ability to thrive in a dynamic, international environment.
