Auf einen Blick
- Aufgaben: Analyze data assets and develop quality frameworks to ensure data integrity.
- Arbeitgeber: Join a leading IT consultancy known for innovation and excellence.
- Mitarbeitervorteile: Enjoy a temporary role with potential for extension and valuable experience.
- Warum dieser Job: Elevate your career while working on impactful data governance projects.
- Gewünschte Qualifikationen: Experience in data analysis, SQL, Python, and familiarity with cloud environments required.
- Andere Informationen: This role is perfect for detail-oriented individuals passionate about data management.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Social network you want to login/join with: Client: Experis Location: Job Category: Other Job Reference: 203cc0f632a2 Job Views: 4 Posted: 06.03.2025 Expiry Date: 20.04.2025 Job Description: Data Governance & Business Analyst Experis IT is on the search for a Data Governance & Business Analyst to join one of their clients, a well-known IT Consultancy company. This exciting temporary opportunity is only open to candidates with relevant experience. If you\’re looking to take your career to the next level, please read on! Start Date: preferably ASAP Duration: 6 months + extension Your responsibilities: Analyze and document data assets, flows, and key attributes across different business domains. Develop and implement data quality frameworks, including KPIs and reporting structures. Conduct root cause analysis for data inconsistencies and recommend corrective actions. Define retention and deletion policies to align with regulatory and operational requirements. Assess and refine data confidentiality, access controls, and security policies. Provide guidance on data governance best practices to both business and technical teams. Support training initiatives to enhance awareness of data classification, security, and access management. Experience in data analysis and business analysis . Understanding of data governance frameworks and industry best practices. Proficiency in SQL, Python, Power BI, and Informatica (or similar tools). Ability to communicate effectively with both technical and business stakeholders. Detail-oriented with excellent documentation and reporting . Familiarity with cloud-based data environments is a plus. Exposure to AI-driven data management solutions is an advantage. #J-18808-Ljbffr
Data Governance & Business Analyst, Zürich District Arbeitgeber: Whatjobs

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StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Governance & Business Analyst, Zürich District
✨Tip Number 1
Make sure to familiarize yourself with the specific data governance frameworks and best practices mentioned in the job description. This will not only help you understand the role better but also allow you to speak confidently about your knowledge during the interview.
✨Tip Number 2
Brush up on your SQL, Python, and Power BI skills. Consider working on a small project or case study that showcases your ability to analyze data and implement quality frameworks, as this will give you concrete examples to discuss in your interview.
✨Tip Number 3
Prepare to discuss your experience with data confidentiality and access controls. Think of specific instances where you've implemented or improved these policies, as this will demonstrate your practical knowledge and problem-solving abilities.
✨Tip Number 4
Since the role involves communication with both technical and business stakeholders, practice articulating complex data concepts in simple terms. This will help you convey your ideas clearly and effectively during the interview process.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Governance & Business Analyst, Zürich District
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Governance & Business Analyst position. Highlight the key responsibilities and required skills, such as data analysis, SQL proficiency, and understanding of data governance frameworks.
Tailor Your CV: Customize your CV to reflect your relevant experience in data governance and business analysis. Use specific examples that demonstrate your ability to analyze data assets, develop quality frameworks, and communicate with stakeholders.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the job requirements. Emphasize your experience with tools like Python and Power BI, and your understanding of data confidentiality and security policies.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no grammatical errors and that all information is clear and concise. A well-presented application reflects your attention to detail, which is crucial for this role.
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✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, Python, Power BI, and Informatica during the interview. Prepare examples of how you've used these tools in past projects to demonstrate your technical expertise.
✨Understand Data Governance Frameworks
Familiarize yourself with various data governance frameworks and industry best practices. Be ready to discuss how you have applied these concepts in previous roles or how you would implement them in this position.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills, especially regarding data inconsistencies and governance challenges. Practice articulating your thought process and the steps you would take to resolve such issues.
✨Communicate Effectively with Stakeholders
Since the role requires interaction with both technical and business teams, practice explaining complex data concepts in simple terms. This will show your ability to bridge the gap between different stakeholders.