Salary: £50,000 - 65,000 per year Requirements: 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 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. 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. 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. 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. 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. 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. 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. Technologies: AI BigQuery Cloud ETL Support Looker Network Python SQL Tableau GCP More: We are Zaio Limited, a leading IT and telecom solutions provider specializing in data-driven and agile software that empowers connectivity and optimizes telecommunications. With decades of industry expertise, we support global operators and enterprises across the network lifecycle through bespoke engineering solutions that solve complex challenges. We are hiring a hands-on Data & Analytics Lead for a hybrid remote role in Reading, on a zero hours contract, permanent, full-time basis, with a salary of £50,000 to £65,000 per year. This role suits an experienced technical specialist who can work independently, take ownership of delivery, and support analytics delivery across operational and customer-focused use cases in a telecommunications environment. last updated 23 week of 2026