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- Tasks: Ensure data quality and accuracy for product launches across multiple regions.
- Company: Join Smartdesc, a dynamic IT service provider focused on non-profit organisations.
- Benefits: Competitive pay up to £425 per day, remote work, and impactful projects.
- Why this job: Make a real difference in data management for an international beauty company.
- Qualifications: 5+ years in data management, strong Excel skills, and analytical mindset.
- Other info: Be part of a growing team with opportunities to work on meaningful projects.
The predicted salary is between 42000 - 84000 £ per year.
We're setting up a new role to support the improvement and quality of our client's data in the EMEA Region, as part of a wider migration programme. In this hands-on role, you will be the key person responsible for ensuring the completeness, quality, and accuracy of data from multiple sources, supporting the timely launch of new products across multiple regions. You'll play a critical role in QA, validating and cross-checking data across various systems, ensuring it meets the necessary standards for product launches.
Key Responsibilities
- Data Validation: Ensure that all mandatory product data across core systems is complete, accurate, and up to date. Ensuring QA process is followed across ecommerce platforms.
- Data Stewardship: Coordinate with data owners to correct discrepancies in data and ensure consistency across systems.
- Problem-Solving: Identify areas where data quality can be improved and work with various teams to implement solutions.
- Stakeholder Collaboration: Communicate with stakeholders to clarify data requests and address any data-related issues, ensuring alignment with launch schedules.
- Data Tracking & Reporting: Create and manage detailed reports on product data status and product launch progress.
Skills & Experience
- Data Management Expertise: Minimum of 5 years of experience working with data management principles and data integrity concepts.
- Tool Proficiency: Advanced skills in Excel, and other data tools to maintain and manage data inputs and outputs. This includes dashboard creation.
- Data Systems Knowledge: Familiarity with a range of data management systems.
- Data Lifecycle Understanding: Ability to manage and understand the complete lifecycle of product data from creation to launch.
- Analytical & Detail-Oriented: Strong analytical mindset with keen attention to detail and the ability to spot discrepancies or gaps in data.
- Communication Skills: Effective communication with both business and technical stakeholders, ensuring clarity in data-related discussions.
- Ecommerce or Retail Experience: Experience working in an ecommerce or retail environment, especially with platforms that serve multiple countries and markets.
About Smartdesc: Smartdesc (part of the Academia Group) is an IT Service Provider and Microsoft Gold Partner whose focus is not-for-profit organisations, which includes charities, social enterprises, and the public sector in the UK. This project is with an untypical client of ours who is an international beauty company we have worked with for many years. We provide IT services including IT strategy, cyber security, helpdesk support, project and programme management. You will be part of a dynamic and growing company; you will not be a small cog in the machine, but instead be able to spread your wings and work with some amazing nonprofit organisations who are engaged and want to improve their technology.
Data Steward in London employer: Academia the Technology Group
Contact Detail:
Academia the Technology Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Steward in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and don’t be shy about letting people know you’re on the hunt for a Data Steward role. You never know who might have the inside scoop on an opportunity!
✨Tip Number 2
Prepare for interviews by brushing up on your data management skills. Be ready to discuss your experience with data validation and quality assurance, as these are key in this role. Practice common interview questions and think of examples that showcase your analytical mindset.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and expertise. We recommend checking out our website for openings that match your skills. Tailor your approach to each company to show you’re genuinely interested!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Use this opportunity to reiterate your enthusiasm for the role and highlight how your skills can contribute to their data quality goals.
We think you need these skills to ace Data Steward in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Steward role. Highlight your data management experience and any relevant skills that match the job description. We want to see how your background aligns with what we're 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 quality and how your experience can help us improve our client's data. Keep it engaging and relevant to the role.
Showcase Your Skills: Don’t forget to mention your proficiency in tools like Excel and any other data management systems you’ve worked with. We love seeing candidates who can demonstrate their analytical mindset and attention to detail!
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 Academia the Technology Group
✨Know Your Data Inside Out
As a Data Steward, you'll need to demonstrate your expertise in data management principles. Brush up on your knowledge of data integrity concepts and be ready to discuss how you've ensured data quality in previous roles. Prepare examples that showcase your analytical skills and attention to detail.
✨Familiarise Yourself with Tools
Since advanced skills in Excel and other data tools are crucial for this role, make sure you're comfortable discussing your experience with these tools. Consider preparing a mini portfolio of dashboards or reports you've created in the past to illustrate your proficiency.
✨Highlight Your Problem-Solving Skills
The role involves identifying areas for data quality improvement, so be prepared to share specific instances where you've successfully tackled data discrepancies. Think about the strategies you used and the outcomes achieved, as this will show your potential employer that you're proactive and solution-oriented.
✨Communicate Effectively
Effective communication is key when collaborating with stakeholders. Practice articulating complex data-related concepts in simple terms. You might even want to role-play common scenarios with a friend to ensure you're ready to clarify data requests and address issues during the interview.
