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- 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 innovation.
- Mitarbeitervorteile: Enjoy a collaborative work environment with opportunities for professional growth and development.
- Warum dieser Job: Be a key player in transforming business insights and driving success across the company.
- 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.
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Senior Data Analyst Arbeitgeber: Bulgari Horlogerie SA
Kontaktperson:
Bulgari Horlogerie SA HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Analyst
✨Tip Number 1
Familiarize yourself with the specific Power BI reports and projects 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 or related departments. Engaging with them can provide valuable insights into the team's dynamics and expectations, which can be beneficial during your interviews.
✨Tip Number 3
Showcase your ability to communicate complex data insights to non-technical stakeholders. Prepare examples from your past experiences where you've successfully translated technical information into actionable business strategies.
✨Tip Number 4
Stay updated on the latest trends in data analysis and Power BI features. Being knowledgeable about recent advancements can set you apart and demonstrate your commitment to continuous learning and improvement.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Analyst
Tipps für deine Bewerbung 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior Data Analyst position. Understand the key responsibilities and required skills, especially focusing on Power BI, SQL, and data transformation processes.
Tailor Your CV: Customize your CV to highlight your experience with Power BI and Business Intelligence. Include specific examples of projects where you collected, analyzed, and interpreted large datasets to provide actionable insights.
Craft a Compelling Cover Letter: Write a cover letter that showcases your analytical mindset and proactive problem-solving approach. Mention your ability to communicate technical insights to non-technical stakeholders and your experience in collaborating with cross-functional teams.
Highlight Language Proficiency: Since fluency in both French and English is mandatory, make sure to clearly state your language skills in your application. If you have knowledge of Italian, mention that as well to strengthen your application.
Wie du dich auf ein Vorstellungsgespräch bei Bulgari Horlogerie SA 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 the role involves translating technical insights for non-technical teams, practice explaining complex data concepts in simple terms. Use examples from your past experiences to illustrate how you’ve successfully communicated insights to various stakeholders.
✨Demonstrate Your Analytical Mindset
Prepare to discuss how you approach problem-solving and data analysis. Share specific instances where your analytical skills led to actionable business insights, and be ready to explain your thought process.
✨Stay Updated on Industry Trends
Show your passion for continuous learning by discussing recent trends in data analysis and business intelligence. Mention any new tools or techniques you’ve explored and how they could benefit the company’s data strategy.
