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- Tasks: Lead data management initiatives and ensure data accuracy and integrity across systems.
- Company: Join CHANEL, a brand that values personal growth and inclusivity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional development.
- Why this job: Make a real impact in data management while working with innovative teams.
- Qualifications: Strong background in data management and excellent analytical skills required.
- Other info: Collaborative environment with a focus on diversity and personal growth.
The predicted salary is between 43200 - 72000 £ per year.
At CHANEL, our values are grounded in creating the conditions for people to perform at their best and feel fulfilled and confident in their work. We are looking for an experienced Data Management Manager who will help share the data management best practices within the organisation. The role is responsible to advise, manage and maintain the Data Management tools and assets. It involves ensuring data accuracy, integrity, and security, as well as supporting data-related projects and initiatives.
Key Responsibilities
- Advise on Data Management best practices and implement data management tools, processes and required policies working with partner teams.
- Ensure data accuracy, consistency, and integrity across all systems.
- Collaborate with IT and other departments to support data-related projects.
- Conduct data quality assessments and audits.
- Create simple assets, reports to drive onboarding of business stakeholders of all levels of seniority on topics around data management foundations and its importance in AI/BI.
- Provide training and support to staff on data management best practices.
- Stay updated with the latest trends and technologies in data management.
What you will bring
- Strong background in data management, excellent analytical skills, and the ability to work collaboratively with various departments.
- Hands-on experience in data management areas of data quality, master data management and data distribution strategies.
- Knowledge of data warehousing and ETL processes.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and organizational skills.
- Excellent communication and interpersonal skills.
At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity, and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience, and potential you could bring to CHANEL.
Data Management Senior Manager in London employer: Chanel
Contact Detail:
Chanel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Senior Manager in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at CHANEL on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on data management best practices. We should be ready to discuss how we can ensure data accuracy and integrity, as well as share our experiences with data-related projects.
✨Tip Number 3
Showcase our analytical skills! Bring examples of how we've tackled data quality issues or implemented data management tools in previous roles. This will help us stand out as the ideal candidate.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in being part of the CHANEL team.
We think you need these skills to ace Data Management Senior Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Management Senior Manager role. Highlight your experience in data management, especially in areas like data quality and ETL processes. We want to see how your skills align with what CHANEL is looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data management and how you can contribute to CHANEL's goals. We love seeing genuine enthusiasm, so let your personality come through!
Showcase Your Achievements: When detailing your experience, focus on specific achievements that demonstrate your analytical skills and attention to detail. We want to know how you've made an impact in previous roles, so don't hold back on the numbers and results!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining the team at CHANEL!
How to prepare for a job interview at Chanel
✨Know Your Data Management Stuff
Make sure you brush up on your data management knowledge before the interview. Understand key concepts like data quality, master data management, and ETL processes. Being able to discuss these topics confidently will show that you're not just familiar with the basics but can also contribute to best practices.
✨Showcase Your Collaborative Skills
Since the role involves working with various departments, be ready to share examples of how you've successfully collaborated in the past. Think about specific projects where you worked with IT or other teams to achieve a common goal. This will demonstrate your ability to work well with others and support data-related initiatives.
✨Prepare for Data Quality Assessments
Expect questions around data accuracy and integrity. Prepare to discuss how you've conducted data quality assessments or audits in previous roles. Highlight any tools or methodologies you used, as this will show your hands-on experience and attention to detail.
✨Communicate Clearly and Effectively
Excellent communication is key in this role, so practice articulating your thoughts clearly. Be prepared to explain complex data management concepts in simple terms, especially if you're asked about training staff or onboarding stakeholders. This will showcase your interpersonal skills and ability to make data management accessible to everyone.
