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- Tasks: Transform and clean document metadata for a new system using Excel.
- Company: Join a dynamic team focused on data migration and transformation.
- Benefits: Enjoy hybrid working in Uxbridge with a flexible contract.
- Why this job: Perfect for detail-oriented individuals who love organizing data and solving problems.
- Qualifications: Experience with large datasets and strong Excel skills are essential.
- Other info: This is a 1-month contract, OUTSIDE IR35.
🚀 Excel Whiz Wanted! Help Us Get Our Data Migration-Ready 🚀
We’re on the hunt for an Excel expert to clean up and transform document metadata for our clients new system. If you love structuring data, fixing inconsistencies, and making sense of messy spreadsheets, this could be the perfect role for you!
Hybrid working in Uxbridge – 1 month contract initially – OUTSIDE IR35
🔹 Key tasks include:
✅ Applying system IDs to ensure correct document mapping
✅ Renaming headers to match platform requirements
✅ Standardizing and transforming data (e.g., converting \”DE\” to \”Germany\”)
✅ Segmenting data into structured files
✅ Identifying and resolving inconsistencies, duplicates, and missing values
✅ Restructuring fields to fit the new format
✅ Running accuracy checks before migration
We need someone detail-oriented, efficient, and experienced with large datasets to ensure a smooth migration.
📩 If this sounds like you (or someone you know), drop us a message or apply today!
#Excel #DataCleanup #DataTransformation #DataMigratio
Microsoft Excel Whiz, Data Analyst employer: C&C Consulting
Contact Detail:
C&C Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Microsoft Excel Whiz, Data Analyst
✨Tip Number 1
Familiarize yourself with common data migration challenges. Understanding issues like data mapping and standardization will help you demonstrate your expertise during the interview.
✨Tip Number 2
Brush up on Excel functions that are crucial for data cleaning, such as VLOOKUP, IFERROR, and TEXT functions. Being able to discuss these in detail will show your proficiency.
✨Tip Number 3
Prepare examples of past projects where you've successfully cleaned and transformed large datasets. Real-life scenarios can illustrate your problem-solving skills effectively.
✨Tip Number 4
Network with professionals in the data analysis field. Engaging with others can provide insights into the role and may even lead to referrals or recommendations.
We think you need these skills to ace Microsoft Excel Whiz, Data Analyst
Some tips for your application 🫡
Highlight Your Excel Skills: Make sure to emphasize your proficiency in Microsoft Excel. Include specific examples of how you've used Excel for data cleaning, transformation, and analysis in previous roles.
Showcase Attention to Detail: Since the role requires a detail-oriented approach, provide examples of past projects where you identified inconsistencies or improved data accuracy. This will demonstrate your capability to handle large datasets effectively.
Tailor Your CV: Customize your CV to align with the job description. Focus on relevant experiences that showcase your ability to structure data, resolve duplicates, and perform accuracy checks.
Craft a Compelling Cover Letter: Write a cover letter that reflects your enthusiasm for the role and the company. Mention your experience with data migration and how you can contribute to a smooth transition for their clients.
How to prepare for a job interview at C&C Consulting
✨Show Your Excel Skills
Be prepared to demonstrate your proficiency in Excel during the interview. Bring examples of previous projects where you cleaned and transformed data, and be ready to discuss specific functions or techniques you used.
✨Understand Data Migration
Familiarize yourself with the data migration process. Be ready to explain how you would approach tasks like applying system IDs and standardizing data formats, as these are key responsibilities for the role.
✨Attention to Detail is Key
Highlight your attention to detail by discussing past experiences where you identified inconsistencies or duplicates in datasets. This will show that you can handle the meticulous nature of the job.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data systems and the specific challenges they face. This demonstrates your interest in the role and helps you understand how you can contribute effectively.
