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For Companies At a Glance
- Tasks: Analyse data structures and perform data extraction, transformation, and migration activities.
- Company: Join a forward-thinking company focused on data excellence.
- Benefits: Competitive salary, flexible hours, and opportunities for skill development.
- Why this job: Make an impact by ensuring high data quality and solving real-world data challenges.
- Qualifications: Strong experience in data migration, cleansing, and advanced SQL skills required.
- Other info: Dynamic team environment with great potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Key Responsibilities
- Analyse and assess data structures across legacy and target systems.
- Perform data extraction, transformation, and migration activities.
- Conduct data cleansing, enrichment, and validation to ensure high data quality.
- Identify and resolve data inconsistencies, duplicates, and quality issues.
- Develop and maintain data mapping documentation between source and target systems.
Required Skills & Experience
- Strong experience in data migration, data cleansing, and data transformation projects.
- Advanced SQL and database querying skills.
- Experience working with large datasets and relational databases (SQL Server, Oracle, etc.).
- Strong data analysis and data profiling skills.
Data Analyst in Slough employer: Vallum Associates
Contact Detail:
Vallum Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the data analytics field on LinkedIn or at local meetups. You never know who might have a lead on a job that’s perfect for us.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving data migration and cleansing. This will give potential employers a taste of what we can do.
✨Tip Number 3
Prepare for interviews by brushing up on SQL and data analysis techniques. Practice common interview questions related to data profiling and transformation so we can impress them with our knowledge.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing familiar faces in our candidate pool!
We think you need these skills to ace Data Analyst in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data migration, cleansing, and transformation. We want to see how your skills match the key responsibilities listed in the job description.
Showcase Your SQL Skills: Since advanced SQL skills are a must, include specific examples of how you've used SQL in past projects. We love seeing real-world applications of your expertise!
Highlight Data Quality Experience: Emphasise any experience you have with data cleansing and validation. We’re keen on candidates who can ensure high data quality, so share your success stories!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Vallum Associates
✨Know Your Data
Before the interview, brush up on your knowledge of data structures and migration processes. Be ready to discuss specific projects where you've performed data extraction, transformation, or cleansing. This will show that you not only understand the theory but have practical experience too.
✨SQL Skills on Display
Since advanced SQL skills are a must, prepare to demonstrate your querying abilities. You might be asked to solve a problem on the spot, so practice writing queries beforehand. Familiarise yourself with common functions and optimisations to impress your interviewers.
✨Data Quality Matters
Highlight your experience with data quality issues during the interview. Be ready to share examples of how you've identified and resolved inconsistencies or duplicates in datasets. This shows that you value high-quality data and understand its importance in analysis.
✨Documentation is Key
Discuss your approach to maintaining data mapping documentation. Interviewers will appreciate your attention to detail and organisation. Bring examples of documentation you've created in the past, as this can help illustrate your process and commitment to clarity in data management.