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- Tasks: Lead data quality initiatives and engage with senior stakeholders to enhance data governance.
- Company: Global logistics and supply chain firm with a focus on innovation.
- Benefits: Competitive salary up to £70,000, hybrid work, and additional perks.
- Why this job: Make a significant impact on data quality in a dynamic industry.
- Qualifications: Proficient in SQL and experienced with data quality tools like Purview and Snowflake.
- Other info: Exciting opportunity for career growth in a collaborative environment.
The predicted salary is between 42000 - 84000 £ per year.
A global logistics and supply chain firm is looking for a Data Quality & Governance Manager to lead the data quality agenda. This hybrid role in Leeds offers a competitive salary of up to £70,000 plus benefits.
The successful candidate will undertake high-impact responsibilities, such as:
- Embedding data quality into processes
- Building monitoring frameworks
- Engaging directly with senior stakeholders
Ideal candidates are SQL proficient, capable of diagnosing data issues, and experienced with DQ tools like Purview and Snowflake.
Data Quality & Governance Lead in Leeds employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality & Governance Lead in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the logistics and supply chain industry, especially those who work with data quality. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your SQL skills! During interviews, be ready to discuss specific examples of how you've used SQL to solve data issues. We want to hear about your hands-on experience with DQ tools like Purview and Snowflake too!
✨Tip Number 3
Prepare for stakeholder engagement! Brush up on your communication skills because you'll need to explain complex data concepts to senior stakeholders. Practice makes perfect, so consider mock interviews with friends.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Don’t miss out on this opportunity!
We think you need these skills to ace Data Quality & Governance Lead in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your SQL skills and experience with DQ tools like Purview and Snowflake. We want to see how your background aligns with the responsibilities of the Data Quality & Governance Lead role.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data quality and governance. Share specific examples of how you've embedded data quality into processes in previous roles, as this will resonate with us.
Showcase Your Stakeholder Engagement Skills: Since this role involves engaging with senior stakeholders, make sure to highlight any relevant experience you have in this area. We love candidates who can demonstrate their ability to communicate effectively and build relationships across teams.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at KDR Talent Solutions
✨Know Your Data Inside Out
Make sure you brush up on your SQL skills and be ready to discuss how you've used it in past roles. Be prepared to diagnose potential data issues during the interview, as this will showcase your problem-solving abilities.
✨Familiarise Yourself with DQ Tools
Since the role involves tools like Purview and Snowflake, take some time to understand their functionalities. You might be asked about your experience with these tools, so having specific examples of how you've used them will give you an edge.
✨Engage with Stakeholders
This role requires direct engagement with senior stakeholders, so practice articulating your ideas clearly and confidently. Think of examples where you've successfully communicated complex data concepts to non-technical audiences.
✨Showcase Your Strategic Thinking
Prepare to discuss how you would embed data quality into existing processes. Think strategically about how to build monitoring frameworks and be ready to share your vision for improving data governance within the company.