At a Glance
- Tasks: Build and maintain analytics solutions in a dynamic telecom environment.
- Company: ZAIO Limited, a leader in data-driven telecom innovations.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Fast-paced environment with excellent career advancement potential.
- Why this job: Join a cutting-edge team and make an impact in telecommunications analytics.
- Qualifications: Experience with Python, SQL, and cloud analytics platforms required.
The predicted salary is between 55000 - 70000 £ per year.
At ZAIO Limited, we empower the future of telecommunications through data-driven innovations and agile software solutions. As a global IT and telecom solutions provider, we seamlessly integrate complex network infrastructure with high-performance digital operations. With decades of industry expertise, we support operators and enterprises throughout the entire network lifecycle by providing strategic consulting, advanced diagnostics, and tailored software tools.
Role Purpose
We are looking for a hands‑on Data & Analytics Lead to support the development and delivery of analytics and data engineering solutions within a telecommunications environment. This role is suited to an experienced technical specialist who is comfortable working independently, building practical solutions, and supporting analytics delivery across operational and customer‑focused use cases. The successful candidate will have strong experience with cloud analytics platforms, Python development, SQL, and large‑scale data processing, with a proactive mindset and willingness to take ownership of delivery.
Key Responsibilities
- Build and maintain analytics datasets, pipelines, and reporting solutions.
- Develop scalable ETL/ELT processes using cloud-native technologies.
- Support analysis of large datasets to generate operational and business insight.
- Work with structured and semi‑structured data from multiple sources.
- Develop automated reporting and monitoring solutions.
GCP Platform Development
- Work within the Google Cloud ecosystem, including BigQuery, Cloud Storage, Vertex AI, Cloud Functions, and Dataflow.
- Support optimisation and maintenance of cloud‑based analytics environments.
- Contribute to scalable and efficient data architecture design.
Cost & Performance Optimisation
- Help optimise BigQuery queries and cloud platform costs.
- Improve performance of data pipelines and analytics processes.
- Support implementation of efficient data processing approaches for large datasets.
Solution Delivery
- Translate business requirements into practical analytics solutions.
- Support rapid prototyping and development of analytics MVPs.
- Work closely with stakeholders across operational and technical teams.
- Produce clear documentation and maintain reusable code frameworks.
Telecommunications Analytics
- Support analytics use cases related to telecom networks, customer experience, and operational performance.
- Work with network KPIs, usage data, service quality metrics, and customer datasets.
- Assist in identifying trends, issues, and improvement opportunities from large-scale telecom data.
Required Skills & Experience
Technical Skills
- Strong experience with Python, SQL, BigQuery, and cloud-based analytics and data engineering.
- Good understanding of data pipelines, data modelling, query optimisation, and data transformation frameworks.
- Experience with data visualisation tools such as Tableau or Looker.
- Experience handling large datasets and automated workflows.
Experience
- Experience in data analytics, analytics engineering, or data engineering roles.
- Experience building solutions independently with limited supervision.
- Experience working in cloud analytics environments.
- Telecommunications or network analytics experience preferred.
Personal Attributes
- Self-motivated and proactive.
- Strong problem‑solving mindset.
- Comfortable working in fast‑paced environments.
- Able to independently manage and deliver technical tasks.
- Good communication and collaboration skills.
- Experience with AI/ML workflows.
- Exposure to customer experience or network analytics.
- Experience with operational analytics or monitoring solutions.
- Familiarity with Agile delivery environments.
Experienced Data and Analytics Engineer in Reading employer: ZAIO Limited
At ZAIO Limited, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our hybrid work model allows for flexibility, enabling our employees to balance their professional and personal lives while contributing to cutting-edge telecommunications solutions. With a strong emphasis on employee growth, we offer continuous learning opportunities and the chance to work with advanced technologies in a supportive environment, making us an exceptional employer for those seeking meaningful and rewarding careers in data and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Experienced Data and Analytics Engineer in Reading
✨Tip Number 1
Network like a pro! Reach out to folks in the telecom and data analytics space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and cloud analytics. This is your chance to demonstrate your hands-on experience and problem-solving abilities. Make sure to include any cool visualisations or reports you've built!
✨Tip Number 3
Tailor your approach! When you find a role that excites you, customise your pitch to highlight how your experience aligns with their needs. Use keywords from the job description to show you’re the perfect fit. We want to see that you understand what they’re looking for!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at ZAIO Limited. Don’t miss out on the chance to be part of something great!
We think you need these skills to ace Experienced Data and Analytics Engineer in Reading
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and cloud analytics. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and analytics in telecommunications. Let us know how your proactive mindset and problem-solving skills make you the perfect fit for our team.
Showcase Your Projects:If you've worked on any cool data engineering projects, make sure to mention them! We love seeing practical examples of your work, especially if they involve large datasets or cloud technologies. It helps us understand your hands-on experience.
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’re considered for the role. Plus, it shows you’re keen on joining our team at ZAIO Limited!
How to prepare for a job interview at ZAIO Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and cloud analytics skills. Be ready to discuss specific projects where you've built data pipelines or worked with BigQuery. The more you can demonstrate your hands-on experience, the better!
✨Understand the Telecom Landscape
Familiarise yourself with telecommunications analytics and the key performance indicators (KPIs) that matter in this field. Being able to talk about how you've used data to improve customer experience or operational performance will set you apart.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in previous roles and how you tackled them. ZAIO Limited is looking for someone with a strong problem-solving mindset, so be ready to share your thought process and the outcomes of your solutions.
✨Communicate Clearly and Collaboratively
Since you'll be working closely with various stakeholders, practice articulating your ideas clearly. Think about how you can convey complex technical concepts in a way that's easy to understand. Good communication is key in fast-paced environments!
