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- Tasks: Lead data quality initiatives and resolve complex data issues using SQL and Python.
- Company: Join a cutting-edge company focused on data innovation and AI advancements.
- Benefits: Enjoy flexible work-from-home options and amazing career growth opportunities.
- Why this job: Be at the forefront of data transformation in an exciting, fast-paced environment.
- Qualifications: Strong SQL and Python skills, with experience in data quality frameworks and analysis.
- Other info: Collaborate with AI experts and work with the latest technologies like LLMs.
The predicted salary is between 43200 - 72000 £ per year.
Are you ready to level up your career as a Data Quality Analyst? Join a forward-thinking company investing heavily in data innovation, AI, and large-scale data initiatives. With a flexible work-from-home policy and unparalleled progression opportunities, this is the role to make your mark in an exciting, rapidly evolving space.
What You\’ll Be Doing
As a highly technical Data Quality Analyst, you’ll be at the forefront of our data journey. Your key responsibilities will include:
- Conducting root cause analysis to identify and resolve data quality issues.
- Designing and implementing a robust data quality framework to ensure enterprise-wide consistency and trust.
- Collaborating closely with AI experts, data engineers, and other key stakeholders to deliver high-impact projects.
- Utilizing SQL and Python scripting to manage, analyze, and validate complex data pipelines.
- Getting hands-on with cutting-edge technologies like AI, LLMs (Large Language Models), and data lakes to shape the future of our data landscape.
What We\’re Looking For
We’re seeking an experienced, detail-oriented, and highly technical professional who is passionate about data quality and innovation. Ideally, you’ll have:
- Strong proficiency in SQL and Python scripting.
- Experience conducting root cause analysis and resolving complex data challenges.
- A solid understanding of data quality frameworks, processes and tooling
- Excellent collaboration and communication skills to work closely with cross-functional teams.
Senior Data Quality Analyst employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Quality Analyst
✨Tip Number 1
Familiarize yourself with the latest trends in data quality frameworks and tools. Being able to discuss current methodologies and innovations during your interview will show that you're not just experienced, but also passionate about staying ahead in the field.
✨Tip Number 2
Brush up on your SQL and Python skills by working on real-world projects or contributing to open-source initiatives. This hands-on experience will not only enhance your technical abilities but also provide you with concrete examples to discuss during your interviews.
✨Tip Number 3
Network with professionals in the data quality and AI space. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences. This can give you valuable insights and may even lead to referrals.
✨Tip Number 4
Prepare to discuss specific instances where you've successfully resolved data quality issues. Use the STAR method (Situation, Task, Action, Result) to structure your responses, showcasing your problem-solving skills and technical expertise.
We think you need these skills to ace Senior Data Quality Analyst
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior Data Quality Analyst position. Make sure you understand the key responsibilities and required skills, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with SQL and Python scripting, as well as any previous roles where you conducted root cause analysis or worked on data quality frameworks. Use specific examples to demonstrate your expertise.
Showcase Collaboration Skills: Since the role involves working closely with AI experts and data engineers, highlight any past experiences where you successfully collaborated with cross-functional teams. This can set you apart from other candidates.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for data quality and innovation. Mention how you can contribute to the company's data journey and align with their forward-thinking approach.
How to prepare for a job interview at KDR Talent Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in SQL and Python. Bring examples of how you've used these skills in past projects, especially in conducting root cause analysis and resolving data quality issues.
✨Demonstrate Your Understanding of Data Quality Frameworks
Familiarize yourself with various data quality frameworks and processes. Be ready to explain how you have implemented or improved these frameworks in previous roles.
✨Highlight Collaboration Experience
Since the role involves working closely with AI experts and data engineers, share specific examples of successful collaborations. Discuss how you communicated effectively with cross-functional teams to achieve project goals.
✨Stay Updated on Cutting-Edge Technologies
Research the latest trends in AI, LLMs, and data lakes. Be prepared to discuss how these technologies can impact data quality and how you envision using them in your work.
