Overview
We are renowned for designing and running the best operational teams in the industry. We support some of the biggest brands in the UK across mobile and fixed networks, investing heavily in people and technology to deliver the best customer experience. With the emergence of AI and automation, we are building a specialist Data & AI capability within Network Operations Transformation. The Data Analytics Specialist will be a key part of that capability, turning operational data into trusted insight, clear reporting, and decision support that underpins automation and AI initiatives.
Responsibilities
* Lead the scoping, design, and delivery of analytics across Network Operations initiatives, translating operational questions into clear analytical approaches and ensuring outputs are relevant, trusted, and actionable.
* Work with the Network Operations Transformation team to provide analytical insight and performance visibility required to support automation, optimisation, and change.
* Conduct detailed analysis on complex operational datasets, often spanning multiple systems, to evaluate performance, demand, workflow behaviour, and operational outcomes.
* Develop advanced analytical products using appropriate analytics tooling to support deep-dive investigations, audits, and repeatable insight generation for senior stakeholders.
* Design and build dashboards and visualisations that communicate insight clearly and effectively to both technical and non-technical audiences.
* Improve efficiency through automation and standardisation, reducing manual effort in repeatable data analysis and reporting by establishing reusable patterns, templates, and analytical standards.
* Champion continuous improvement in data analytics, staying current with emerging tools, techniques, and best practices, and actively sharing knowledge to improve insight quality, data confidence, and analytical maturity across Network Operations.
Qualifications
* Strong expertise in data analysis, including identifying trends, patterns, and root causes within complex, multi-source datasets, and applying best practice across the end-to-end analytics lifecycle to deliver successful data and AI initiatives.
* Hands‑on technical expertise using SQL, Python, R (or similar analytical tools) to query, validate, analyse, and automate analytical workflows at scale.
* Solid understanding of data structures, metrics, and performance measures, and how these enable data‑led decision‑making and performance management.
* Strong knowledge of how data is curated, extracted, transformed, and visualised, with the ability to assess data quality, limitations, robustness, and suitability for analysis.
* Experience designing effective dashboards and data visualisations that clearly communicate insight, context, and recommended actions to technical and non‑technical audiences.
* Understanding of how scalable and maintainable analytical data pipelines are built and sustained, with consideration for reuse, quality, and long‑term sustainability.
* Agile and collaborative approach to delivery, able to work effectively through changing priorities and evolving analytical demands.
* Clear, confident communicator, capable of presenting insights and recommendations to diverse stakeholders.
* Ability to adapt quickly to new tools, technologies, and analytical requirements in a fast‑moving environment.
Desirable Skills / Experience
* Proven experience working in large‑scale, complex organisations, applying structured and data‑driven analysis to support operational and transformation decision‑making.
* Strong business acumen, with an understanding of operational performance drivers, KPIs, and how analytics supports prioritisation, optimisation, and transformation outcomes.
* Experience within Network Operations environments, including exposure to service assurance, repair processes, tools, and systems.
* Experience with data visualisation tools such as Grafana, Apache Superset, Qlik, or Streamlit.
* Awareness of modern data platforms and analytics technologies, including distributed data systems, analytical databases, and ETL/ELT tooling, and how these enable scalable analytics and reporting.
* Ability to build and enhance data solutions or products, with a continuous improvement mindset.
* Enthusiastic about learning and applying new technologies, demonstrating a strong growth mindset.
Benefits
* 10% on‑target annual bonus
* Access to an online private GP 24/7 for you and your immediate family
* Market‑leading paid carers leave with up to 2 weeks off
* Equalised maternity, paternity, and adoption leave – 18 weeks' full pay and 8 weeks' half pay
* Discounted EE and BT products, including mobile and broadband
* Market‑leading pension scheme – 5% from you and 10% from us
* Holiday purchase scheme
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