At a Glance
- Tasks: Transform data into actionable insights and manage reporting for key projects.
- Company: Join MBNL, a joint venture revolutionising the UK's mobile network with innovation and heart.
- Benefits: Enjoy flexible working options and the chance to work on impactful projects.
- Other info: Ideal for those who thrive in fast-paced, collaborative settings.
- Why this job: Be at the core of data operations, driving clarity and progress in a dynamic environment.
- Qualifications: Experience with Sitetracker or Salesforce; detail-oriented and strong communicator.
The predicted salary is between 36000 - 60000 € per year.
Data Analyst - Sitetracker/Salesforce
Permanent
Reading/Home
At MBNL, a joint venture owned equally by EE and Three, we’re not just building the UK\'s best mobile network—we’re revolutionising it. Our shareholders are also our customers, and we’re committed to delivering programmes and projects with precision, innovation and heart.
Are you passionate about transforming data into actionable intelligence? We\'re on the hunt for a highly analytical, self-motivated reporting specialist to lead data development and ensure integrity across one of our major projects.
Responsibilities of the Data Analyst include
- Shape and refine reporting requirements that drive smarter decisions
- Own the daily & weekly data management streams for internal and external stakeholders
- Deliver timely, accurate reporting to fuel programme performance
- Partner across teams to uphold data quality, improve processes, and challenge the status quo
- Use Excel, SharePoint (VBA & Power Query), workflow tools—and ideally, Power BI—to elevate insights
- Collaborate with deployment and supplier teams to deliver excellence, every step of the way
This role sits at the heart of our data operations—without it, our deployment visibility vanishes and data quality falters. You’ll be instrumental in driving clarity, accountability, and progress across our programmes.
The successful Data Analyst will have:
- Experience using sitetracker or salesforce
- Detail-obsessed and insight-driven
- A confident communicator with a knack for cross-functional teamwork
- Capable of juggling multiple projects and unlocking value from complex datasets
To apply for the Data Analyst please send your CV to
Data Analyst - Sitetracker/Salesforce in Glasgow employer: Project People
At MBNL, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. As a Data Analyst, you will not only have the opportunity to work with cutting-edge tools like Sitetracker and Salesforce but also benefit from a supportive environment that encourages professional growth and development. Located in Reading, our team is dedicated to transforming data into actionable insights, making this an exciting place for those looking to make a meaningful impact in the telecommunications sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Sitetracker/Salesforce in Glasgow
✨Tip Number 1
Familiarise yourself with Sitetracker and Salesforce, as these are crucial tools for the role. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to mastering these platforms.
✨Tip Number 2
Network with current or former employees of MBNL or similar companies. Engaging in conversations can provide you with valuable insights into the company culture and expectations, which can help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss specific examples of how you've transformed data into actionable insights in previous roles. Highlighting your analytical skills and problem-solving abilities will show that you're a perfect fit for the position.
✨Tip Number 4
Stay updated on industry trends related to data analytics and mobile networks. Being knowledgeable about the latest developments can help you engage in meaningful discussions during interviews and showcase your passion for the field.
We think you need these skills to ace Data Analyst - Sitetracker/Salesforce in Glasgow
Some tips for your application 🫡
Understand the Role:Read the job description thoroughly to grasp the responsibilities and required skills for the Data Analyst position. Highlight how your experience with Sitetracker or Salesforce aligns with their needs.
Tailor Your CV:Customise your CV to reflect relevant experiences and skills that match the job requirements. Emphasise your analytical abilities, data management experience, and any tools like Excel, Power BI, or SharePoint you are proficient in.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for data analysis and your ability to transform data into actionable insights. Mention specific examples of past projects where you improved processes or upheld data quality.
Proofread and Edit:Before submitting your application, carefully proofread your CV and cover letter for any errors or inconsistencies. A polished application reflects attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at Project People
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've transformed data into actionable insights in previous roles. Highlight your experience with tools like Excel, Power BI, and any relevant software, such as Sitetracker or Salesforce.
✨Demonstrate Attention to Detail
Since the role requires a detail-obsessed mindset, be ready to explain how you ensure data integrity and accuracy in your work. Share instances where your attention to detail made a significant impact on project outcomes.
✨Communicate Effectively
As a confident communicator, practice articulating complex data findings in a clear and concise manner. Be prepared to discuss how you collaborate with cross-functional teams and how you handle feedback or challenges in communication.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you manage multiple projects. Think of scenarios where you've had to juggle competing priorities and how you unlocked value from complex datasets.
