Company Description
Zaio Limited is a leading IT and telecom solutions provider specializing in data-driven and agile software to empower connectivity and optimize telecommunications. With decades of industry expertise, Zaio supports global operators and enterprises across the network lifecycle, offering bespoke engineering solutions that solve complex challenges.
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 ResponsibilitiesData Engineering & Analytics
- 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 & ExperienceTechnical 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.
Desirable 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.
Job Types: Zero hours contract, Permanent, Full-time
Pay: £50,000.00-£65,000.00 per year
Work Location: Hybrid remote in Reading
