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- Tasks: Clean and improve complex datasets while collaborating with engineering teams.
- Company: Major telecoms organisation leading a UK-wide fibre transformation programme.
- Benefits: Competitive daily rate, hybrid work model, and potential for long-term contract extensions.
- Other info: Dynamic role with opportunities for professional growth and collaboration.
- Why this job: Join a growing team and make a real impact on critical data challenges.
- Qualifications: Deep understanding of data analysis and problem-solving skills.
The predicted salary is between 70000 - 80000 £ per year.
A fantastic opportunity has arisen to join a major telecoms organisation at the heart of a UK-wide fibre transformation programme. This is a large-scale, high-impact initiative involving new technologies, mergers & acquisitions, and the modernisation of critical network infrastructure. This role offers the chance to work on complex, business-critical data challenges, helping shape a single source of truth across the organisation. With multiple new projects underway and long-term investment secured, this is an excellent opportunity to join a growing team where your work will have real, lasting impact - with strong potential for long-term contract extensions.
Working within the Fixed Access Engineering Team, you'll use your existing deep understanding of data to identify underlying data challenges and uncover anomalies across complex systems. This role is focused on improving data quality and consistency across the programme. You'll be responsible for cleaning and improving complex datasets, carrying out deep-dive analysis, and integrating and tracking data across multiple systems. You will investigate anomalies, interrogate data and tools in detail, and work closely with engineering and network teams to ensure issues are understood and resolved. A key part of the role will involve feeding corrected data back into core systems and productionalising data processes to drive long-term improvements.
This is a highly collaborative position where you'll:
- Work closely with design teams
- Engage with network knowledge experts
- Partner with data and engineering teams
Data Analyst - Data Cleanse employer: HAYS Specialist Recruitment
Contact Detail:
HAYS Specialist Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Data Cleanse
✨Tip Number 1
Network like a pro! Reach out to people in the telecoms industry, especially those working on data projects. Use LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Prepare for interviews by brushing up on your data cleansing skills. Be ready to discuss specific examples of how you've tackled data challenges in the past. Show us your analytical prowess and how you can contribute to our fibre transformation programme!
✨Tip Number 3
Don’t just apply anywhere—apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with complex datasets and data quality improvements.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in the interviewer's mind. Plus, it’s a great chance to reiterate why you’re the perfect fit for the team!
We think you need these skills to ace Data Analyst - Data Cleanse
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data cleansing and any relevant projects you've worked on. We want to see how your skills align with our needs!
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 you can contribute to our fibre transformation programme. Keep it engaging and personal.
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical skills. Mention specific tools or methodologies you’ve used in the past to tackle data challenges. We love seeing real examples of your work!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity with us!
How to prepare for a job interview at HAYS Specialist Recruitment
✨Know Your Data Inside Out
Make sure you brush up on your data analysis skills and understand the specific data challenges in the telecoms sector. Familiarise yourself with common data cleansing techniques and be ready to discuss how you've tackled similar issues in the past.
✨Showcase Your Collaboration Skills
This role is all about teamwork, so be prepared to share examples of how you've successfully worked with cross-functional teams. Highlight any experiences where you've partnered with engineering or design teams to solve data-related problems.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Review key concepts related to data quality, anomaly detection, and data integration. Be ready to explain your thought process when analysing complex datasets and how you would approach cleaning them.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about the current data challenges they face or how the team collaborates on projects. This not only shows your enthusiasm but also helps you gauge if the role is the right fit for you.