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For Companies At a Glance
- Tasks: As a Data Analyst, maintain and ensure the quality of business data across multiple systems.
- Company: Join a leading manufacturing company focused on innovation and operational excellence.
- Benefits: Enjoy a competitive salary, hybrid working, and a supportive team environment.
- Why this job: Grow your skills in a fast-paced setting while tackling real-world data challenges.
- Qualifications: Previous experience in a data role and proficiency in Excel, Access, and SQL required.
- Other info: Opportunities for learning and exposure to various business functions await you.
Join a leading business committed to innovation, accuracy and operational excellence. We’re looking for a Data Analyst to support the management and quality of critical business data across multiple systems. This is a great opportunity to grow your skills in data analysis, mapping, and reporting within a collaborative and fast-paced environment.
What’s in It for You?
- Competitive salary of £35k – £45k + generous benefits
- Hybrid working available
- Hands-on experience with real-world data challenges
- Supportive team environment with opportunities to learn and grow
- Work for a dynamic, forward-thinking manufacturing company
- Exposure to multiple systems and business functions
The Role
As a Data Analyst you'll play a key role in maintaining the quality, consistency and accuracy of business data. You’ll help ensure that master data is reliable and aligned across systems, working closely with stakeholders to support day-to-day data operations and analysis.
Key Responsibilities:
- Maintain accurate and consistent master data across multiple business systems
- Monitor data quality, validate accuracy and resolve inconsistencies
- Assist in capturing, cleansing, and maintaining standing data
- Develop and follow structured procedures for data collection and recording
- Create and maintain data mapping records between systems
- Use Microsoft Access and SQL to manipulate datasets, run queries and support reporting
- Provide first-line user support for data-related queries and troubleshooting
- Document data issues, system updates, and structural changes
- Support the production of regular data reports and performance insights
- Identify trends and contribute to continuous improvement of data processes
What We’re Looking For:
- Previous experience in a data-focused role (Data Analyst, Data Administrator, or similar)
- Strong numeracy and analytical skills with attention to detail
- Proficiency in Excel, Microsoft Access and SQL for data manipulation and reporting
- Understanding of data quality principles and ability to identify/correct data issues
- Experience working with large datasets and linking data across systems
- Strong communication skills with the ability to explain data concepts clearly
- Self-motivated and able to work independently
- Familiarity with ERP systems or business applications is a plus
- Basic understanding of data integration processes is beneficial
Data Analyst employer: JS Recruitment UK
Contact Detail:
JS Recruitment UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Microsoft Access and SQL. Consider taking online courses or tutorials to sharpen your skills in these areas, as practical knowledge will set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of the company on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
✨Tip Number 3
Prepare to discuss real-world data challenges you've faced in previous roles. Think of specific examples where you identified data issues and how you resolved them, as this demonstrates your problem-solving abilities and understanding of data quality principles.
✨Tip Number 4
Stay updated on industry trends related to data analysis and reporting. Being knowledgeable about the latest tools and methodologies can help you articulate how you can contribute to the company's continuous improvement efforts during your interview.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly any roles where you've worked with large datasets or used tools like SQL and Microsoft Access. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific examples of how your previous experience aligns with the responsibilities listed, such as maintaining data quality or developing structured procedures for data collection.
Showcase Analytical Skills: Provide concrete examples of your analytical skills in your application. Discuss any projects where you identified trends or contributed to data process improvements, as this will demonstrate your ability to add value to the company.
Highlight Communication Skills: Since strong communication skills are essential for this role, include examples of how you've effectively communicated complex data concepts to non-technical stakeholders. This will show that you can bridge the gap between data and business needs.
How to prepare for a job interview at JS Recruitment UK
✨Showcase Your Data Skills
Be prepared to discuss your experience with data manipulation tools like Excel, Microsoft Access, and SQL. Highlight specific projects where you successfully managed large datasets or resolved data quality issues.
✨Understand the Company’s Data Needs
Research the company’s operations and how they utilise data. This will help you tailor your answers to demonstrate how your skills can directly benefit their data management and reporting processes.
✨Prepare for Technical Questions
Expect questions that assess your analytical thinking and problem-solving abilities. Be ready to explain data quality principles and how you would approach common data-related challenges.
✨Communicate Clearly
Strong communication skills are essential for a Data Analyst. Practice explaining complex data concepts in simple terms, as you may need to interact with stakeholders who are not data-savvy.
