At a Glance
- Tasks: Review and cleanse product data using AI tools to ensure accuracy and completeness.
- Company: Join Deloitte, a leader in consulting with a focus on innovation.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for professional growth.
- Other info: Be part of a collaborative team driving data excellence.
- Why this job: Make a real impact by enhancing product data quality in a dynamic environment.
- Qualifications: Experience in data analysis and a keen eye for detail.
The predicted salary is between 42750 - 52250 £ per year.
Deloitte is seeking an experienced Product Data Quality Analyst to support a data cleansing and standardisation project.
You will review, cleanse and standardise a product catalogue, ensuring each SKU has complete, accurate attributes.
You will use AI-assisted tools to accelerate enrichment with human review where required.
You will audit data across attributes, apply taxonomy rules, map products to categories, and develop validation rules to improve accuracy.
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AI-Driven Product Data Quality Analyst (Remote) in London employer: Deloitte - Recruitment
Join a leading financial services organisation in Basildon, where we prioritise compliance and regulatory assurance in a supportive hybrid work environment. Our culture fosters professional growth through continuous training and development opportunities, ensuring you can thrive in your role as a Remediation Compliance Specialist. With a commitment to employee well-being and a collaborative atmosphere, we offer a unique chance to make a meaningful impact while enjoying the flexibility of working from home.
StudySmarter Expert Advice🤫
We think this is how you could land AI-Driven Product Data Quality Analyst (Remote) in London
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We think you need these skills to ace AI-Driven Product Data Quality Analyst (Remote) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Deloitte - Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Deloitte - Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Deloitte - Recruitment
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Deloitte - Recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
