Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: Analyze large datasets and create impactful Power BI reports for various departments.
- Arbeitgeber: Join a dynamic team focused on Data, Business Intelligence, and AI to drive business success.
- Mitarbeitervorteile: Enjoy a collaborative work environment with opportunities for professional growth and skill development.
- Warum dieser Job: Be a key player in transforming data into actionable insights that influence company strategy.
- Gewünschte Qualifikationen: Master’s degree in a relevant field and 5+ years of experience in Business Intelligence required.
- Andere Informationen: Fluency in French and English is mandatory; knowledge of Italian is a plus.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
In order to strengthen our Data, Business Intelligence, and AI team, we are recruiting our next :
As a key member of our Data and BI team, you will play a pivotal role in maintaining ongoing Power BI reports and projects while developing new insights that directly impact the business. Your strong analytical skills, combined with a passion for transforming business requirements into actionable insights, will support multiple departments and contribute to the company’s success.
You will ensure a seamless transition of projects from the previous Senior Data Analyst, while continuously evolving our data reporting landscape. You will collaborate closely with various stakeholders across departments, from High Management to Operations, ensuring the accuracy and efficiency of our data processes.
Job responsibilities
- Collect, analyze, and interpret large datasets to provide business insights using Power BI.
- Ensure the smooth transition of current reports and projects from the existing Senior Data Analyst.
- Develop and maintain Power BI reports for departments including High Management, Marketing, Operations, and AFSS.
- Create dataflows and semantic models within Power BI to enhance reporting capabilities.
- Collaborate with cross-functional teams to understand business objectives and translate them into clear, actionable reporting metrics.
- Train and support internal teams in the effective use of Power BI and establish a Power BI users‘ community.
- Work closely with the Data Engineering team to optimize ETL pipelines and data transformation processes within the Microsoft Azure environment.
- Stay updated on data analysis tools, techniques, and industry trends to continuously improve the data strategy.
Profile
With a Master’s degree in computer science, data science, business intelligence, or a related field, you possess a strong analytical mindset and a proactive approach to solving complex problems. You excel in communicating technical insights to non-technical stakeholders, helping drive performance across the business.
You bring a wealth of experience with a minimum of 5 years in Business Intelligence, specifically focusing on Power BI. Your expertise in data transformation processes within Power BI (Dataflows, Semantic Models, and access management) is essential to this role. Proficiency in SQL and familiarity with Data Engineering practices, particularly in ETL and pipeline management within the Microsoft Azure ecosystem, are key requirements.
As a Senior Data Analyst, your role is crucial in providing the tools and insights necessary to enhance business performance while contributing to the ongoing evolution of our data-driven strategies.
Fluency in both French and English is mandatory; knowledge of Italian is a plus.
#J-18808-Ljbffr
Senior Data Analyst Arbeitgeber: Pouly Tradition
Kontaktperson:
Pouly Tradition HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Analyst
✨Tip Number 1
Familiarize yourself with the specific Power BI projects and reports currently in use at StudySmarter. Understanding the existing landscape will help you identify areas for improvement and demonstrate your proactive approach during discussions.
✨Tip Number 2
Network with current employees in the Data and BI team through LinkedIn or other professional platforms. Engaging with them can provide you with insights into the team dynamics and expectations, which can be beneficial during the interview process.
✨Tip Number 3
Prepare to discuss specific examples of how you've transformed business requirements into actionable insights in your previous roles. Highlighting your analytical mindset and problem-solving skills will resonate well with our team's objectives.
✨Tip Number 4
Stay updated on the latest trends in data analysis and Power BI features. Being knowledgeable about new tools and techniques will not only impress us but also show your commitment to continuous improvement in the field.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Analyst
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI, SQL, and data transformation processes. Emphasize your analytical skills and any relevant projects that demonstrate your ability to provide actionable insights.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how your background aligns with the company's needs. Mention specific experiences where you successfully collaborated with cross-functional teams and translated business requirements into reporting metrics.
Showcase Your Technical Skills: Clearly outline your proficiency in Power BI, SQL, and any other relevant tools or technologies. If you have experience with ETL processes or data engineering practices, be sure to include that as well.
Highlight Language Proficiency: Since fluency in both French and English is mandatory, make sure to mention your language skills prominently in your application. If you know Italian, don't forget to include that as an additional asset.
Wie du dich auf ein Vorstellungsgespräch bei Pouly Tradition vorbereitest
✨Showcase Your Power BI Expertise
Be prepared to discuss your experience with Power BI in detail. Highlight specific projects where you've developed reports, created dataflows, or built semantic models. This will demonstrate your hands-on skills and understanding of the tool.
✨Communicate Clearly with Non-Technical Stakeholders
Since you'll be working with various departments, practice explaining complex data concepts in simple terms. Prepare examples of how you've successfully communicated insights to non-technical audiences in the past.
✨Demonstrate Your Analytical Mindset
Prepare to discuss how you approach problem-solving and data analysis. Share examples of how you've transformed business requirements into actionable insights, showcasing your analytical skills and proactive approach.
✨Stay Updated on Industry Trends
Research the latest trends in data analysis and business intelligence. Be ready to discuss how these trends could impact the company and how you can contribute to evolving their data strategy.
