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- Tasks: Collect and validate data for migration, ensuring accuracy and quality.
- Company: Join a dynamic team driving critical business transformation.
- Benefits: Gain hands-on experience with potential for career growth.
- Other info: Work closely with operational teams in a fast-paced environment.
- Why this job: Be part of an exciting data migration project and make a real impact.
- Qualifications: A-Level or equivalent preferred; strong Excel skills essential.
The predicted salary is between 25000 - 32000 £ per year.
We are seeking three Junior Data Analysts / Data Collectors to support the IFS Cloud Data Migration workstream. These roles will focus on working closely with operational teams and business stakeholders to collect, validate, and accurately record data using predefined migration templates. This is a hands-on, entry-level data role suited for individuals who are detail-oriented and comfortable working directly with business users in a fast-paced environment.
Key Responsibilities
- Engage with stakeholders across two source businesses to gather required data for migration
- Collect and input data into defined migration templates accurately and consistently
- Work closely with operational teams, including being embedded within business units where required
- Ensure all data collected meets quality and completeness standards
- Identify and flag data inconsistencies, gaps, or issues to the Senior Analyst
- Maintain detailed records of collected data and progress against migration tasks
- Support data cleansing and validation activities ahead of system migration
- Adhere to governance, data standards, and processes defined by the Data Migration workstream
Key Skills & Experience
- Strong proficiency in Microsoft Excel (essential)
- High attention to detail and accuracy in data entry
- Ability to follow structured templates and processes
- Strong communication skills with the ability to interact with operational teams
- Comfortable working on-site and collaborating closely with stakeholders
- Basic understanding of data handling or administrative processes (desirable)
Qualifications
- A-Level or equivalent standard of education (preferred)
- No formal degree required
Personal Attributes
- Reliable and disciplined with a strong work ethic
- Organised and methodical approach to tasks
- Willingness to learn and take direction
- Able to work independently and as part of a team
- Comfortable working in an operational, on-ground environment
Additional Information
This is a junior-level, data entry-focused position supporting a critical business transformation initiative. The role may require individuals to sit alongside operational teams for extended periods to ensure accurate data capture. Immediate availability or short notice preferred.
Junior Data Analyst in Furnace Green employer: GCS Recruitment
Contact Detail:
GCS Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Analyst in Furnace Green
✨Tip Number 1
Get to know the company culture! Before your interview, do a bit of research on the company’s values and work environment. This will help you tailor your responses and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Practice makes perfect! Run through common interview questions with a friend or in front of the mirror. Focus on how your skills, especially in Excel and data handling, can benefit the team. Confidence is key!
✨Tip Number 3
Show off your attention to detail! During the interview, mention specific examples where you’ve successfully managed data or solved problems. This will highlight your ability to meet the quality standards they’re looking for.
✨Tip Number 4
Don’t forget to follow up! After your interview, send a quick thank-you email to express your appreciation for the opportunity. It’s a great way to keep yourself fresh in their minds and show your enthusiasm for the role.
We think you need these skills to ace Junior Data Analyst in Furnace Green
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your attention to detail and proficiency in Microsoft Excel. We want to see how your skills match the Junior Data Analyst role, so don’t be shy about showcasing relevant experiences!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a great fit. We love seeing genuine enthusiasm for data and collaboration with teams.
Follow the Application Instructions: When applying through our website, ensure you follow all instructions carefully. This shows us that you can adhere to structured processes, which is key for this role. Double-check everything before hitting submit!
Proofread Your Application: Before sending off your application, give it a good read-through. Typos or inconsistencies can stand out, and we’re looking for candidates who are organised and methodical. A polished application reflects your attention to detail!
How to prepare for a job interview at GCS Recruitment
✨Know Your Data Tools
Make sure you're familiar with Microsoft Excel, as it's essential for this role. Brush up on your skills, especially in data entry and using templates, so you can confidently discuss your proficiency during the interview.
✨Showcase Your Attention to Detail
Prepare examples that highlight your attention to detail. Think of times when you caught errors or improved processes. This will demonstrate your ability to maintain high standards in data collection and validation.
✨Communicate Effectively
Since you'll be working closely with operational teams, practice how you communicate your ideas clearly. Be ready to discuss how you've successfully collaborated with others in the past, as strong communication skills are key for this position.
✨Demonstrate Your Willingness to Learn
Express your eagerness to learn and adapt. Share instances where you've taken direction well or learned new skills quickly. This shows that you're not just looking for a job, but are genuinely interested in growing within the company.