Auf einen Blick
- Aufgaben: Design reports with Power BI, analyze data patterns, and communicate insights.
- Arbeitgeber: Join dentsu international, a global team of 60,000 dedicated to innovation.
- Mitarbeitervorteile: Enjoy health insurance, competitive salary, and opportunities for growth in an international team.
- Warum dieser Job: Be part of a supportive culture that values diversity and creativity in problem-solving.
- Gewünschte Qualifikationen: Strong analytical skills, experience in R, Python, SQL, and a degree in relevant fields required.
- Andere Informationen: Flexible working options available; we value individuality and equal opportunities.
Key responsibilities:
- Design and build reports with Power BI.
- Work with client teams to define KPIs and reporting structure.
- Handle daily maintenance and troubleshoot issues.
- Identify, interpret, and analyze patterns.
- Communicate findings and insights.
- Optimize dashboards with new data points and improved functionality.
Requirements:
- Good analytical skills ideally coupled with creative approaches to problem solving.
- Strong attention to detail.
- Understanding of digital data sources and data design.
- Orientation towards client's business KPIs.
- Experience in R and Python, SQL programming languages.
- Higher education (in economics, econometrics, data science or other exact sciences).
- High level of ownership.
What we offer in return:
- Opportunities to grow in an international team.
- Global know-how and advice from colleagues all around the world.
- A friendly, supportive, and experienced team that is eager to share knowledge.
- Opportunity to take our products and services to next level.
- Health insurance package.
- Competitive salary 1900-2800 EUR gross/month.
Please send us your CV, short description of your key expectations including salary range. All applications will be treated confidentially. If you have any questions regarding the position, please contact Talent Acquisition Partner agne.kvikaite@dentsu.com.
Inclusion and Diversity
We're proud to be different and that starts with our people. We believe in equal opportunities for everyone. We won't define people by their race, gender, sexual-orientation, age or disability. Individuality is what makes us great, we want everyone to bring their full self to work and create something amazing. That's what we care about. So, whether you're joining us, or looking to move to a different part of the business, we work hard to make sure we create equal opportunities for everyone. We are happy to discuss flexible and agile approaches to working for all our roles - we can't promise we will be able to offer you everything you want or need but we do promise to discuss it with you openly and honestly. If you have any reasonable adjustment needs arising from a disability or medical condition to fully participate in the recruitment process, please discuss this with our recruitment teams.
Data Analyst Arbeitgeber: Dentsu
Kontaktperson:
Dentsu HR Team
agne.kvikaite@dentsu.com
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Analyst
✨Tip Number 1
Familiarize yourself with Power BI and its reporting capabilities. Consider creating a sample dashboard that showcases your ability to design and build reports, as this will demonstrate your practical skills during the interview.
✨Tip Number 2
Brush up on your SQL, R, and Python skills. Being able to discuss specific projects where you've used these programming languages to analyze data or solve problems will set you apart from other candidates.
✨Tip Number 3
Prepare to discuss how you've previously defined KPIs and structured reports in collaboration with clients. Real-life examples will help illustrate your understanding of client needs and your analytical approach.
✨Tip Number 4
Showcase your attention to detail by being ready to talk about a time when you identified and resolved a data issue. This will highlight your problem-solving skills and your commitment to delivering high-quality work.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Analyst
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and experience with data sources, R, Python, and SQL. Emphasize any relevant projects or roles that demonstrate your ability to design reports and optimize dashboards.
Craft a Compelling Description: In your short description of key expectations, clearly outline your career goals and how they align with the role of Data Analyst. Be specific about your salary expectations, ensuring they fall within the provided range.
Showcase Problem-Solving Skills: Use examples in your application to illustrate your creative approaches to problem-solving. Highlight instances where you identified patterns and communicated insights effectively.
Highlight Team Collaboration: Mention any experiences working with client teams or in collaborative environments. This will demonstrate your ability to work well within a team and your orientation towards business KPIs.
Wie du dich auf ein Vorstellungsgespräch bei Dentsu vorbereitest
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used your analytical skills in previous roles. Highlight any creative problem-solving approaches you've taken, especially when dealing with data.
✨Demonstrate Technical Proficiency
Make sure to mention your experience with R, Python, and SQL during the interview. Be ready to discuss how you've utilized these programming languages to analyze data or build reports.
✨Understand Client KPIs
Research the company and its clients beforehand. Show that you understand the importance of aligning your work with client business KPIs and be ready to discuss how you would approach this in your role.
✨Prepare for Problem-Solving Scenarios
Expect questions that assess your troubleshooting abilities. Prepare to explain how you would handle common issues related to data reporting and dashboard optimization.
