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- Aufgaben: Analyze web data to improve traffic, conversion, and customer engagement.
- Arbeitgeber: Join a dynamic team focused on innovative online analytics solutions.
- Mitarbeitervorteile: Enjoy an agile work environment with opportunities for personal impact.
- Warum dieser Job: Tackle exciting business challenges while collaborating with a diverse, international team.
- Gewünschte Qualifikationen: Experience in digital analytics tools like Google Analytics is preferred.
- Andere Informationen: Leadership experience is a plus; bring your creativity and ideas!
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
Your responsibilities
- Improvements to web traffic, conversion, engagement, and retention.
- Deliver on web goals and targets by leveraging a vast array of web data, analyzing customer behavior, and developing new and innovative online analytics methods.
- Advanced targeting, gain insights around the customer journey, and model propensity to buy.
- Significant technical and analytical work experience in online marketing data and tools for digital analytics (Google Analytics preferred).
- Organic/paid search analysis, social listening, testing, and customer relationship management.
- Leadership experience would be desirable.
- Exciting business challenges to be solved.
- A space to develop ideas and create personal impact.
- An agile and hands-on environment.
- You will work with an international, interdisciplinary, and digitally thinking team.
We’re looking forward to your CV and project list. Get in touch: / +49 89 69396173
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/ Data Scientist Online Analytics Arbeitgeber: Digitaltreiber UG
Kontaktperson:
Digitaltreiber UG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: / Data Scientist Online Analytics
✨Tip Number 1
Familiarize yourself with the latest trends in online analytics and digital marketing. Being able to discuss recent developments or tools like Google Analytics during your interview can show that you're proactive and knowledgeable.
✨Tip Number 2
Prepare specific examples of how you've improved web traffic or conversion rates in previous roles. Use metrics to quantify your impact, as this will demonstrate your analytical skills and ability to drive results.
✨Tip Number 3
Network with professionals in the field of data science and online analytics. Engaging with others can provide insights into the company culture and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 4
Showcase your leadership experience, even if it's informal. Discuss any projects where you took the initiative or led a team, as this aligns with the desirable qualifications mentioned in the job description.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: / Data Scientist Online Analytics
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities of a Data Scientist in Online Analytics. Familiarize yourself with web traffic, conversion metrics, and customer behavior analysis to tailor your application accordingly.
Highlight Relevant Experience: Emphasize your technical and analytical experience in online marketing data and tools, especially Google Analytics. Provide specific examples of how you've improved web goals and targets in previous roles.
Showcase Leadership Skills: If you have any leadership experience, make sure to highlight it. Discuss instances where you led projects or teams, particularly in an agile environment, to demonstrate your ability to drive results.
Prepare Your CV and Project List: Craft a concise and impactful CV that outlines your skills and experiences relevant to the job. Include a project list that showcases your work in online analytics, customer journey modeling, and any innovative methods you've developed.
Wie du dich auf ein Vorstellungsgespräch bei Digitaltreiber UG vorbereitest
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data to drive improvements in web traffic, conversion, and engagement. Highlight any innovative online analytics methods you've developed.
✨Familiarize Yourself with Tools
Since experience with digital analytics tools like Google Analytics is preferred, make sure you can speak confidently about your proficiency with these tools and any relevant projects you've completed.
✨Understand the Customer Journey
Demonstrate your understanding of the customer journey and how you can gain insights from it. Be ready to discuss how you've modeled propensity to buy in past roles.
✨Emphasize Leadership Experience
If you have leadership experience, be sure to highlight it. Discuss how you've led teams or projects, especially in an agile environment, and how that experience can contribute to solving business challenges.
