Data Analyst
Role details
Job location
Tech stack
Job description
- Specific business area: Call out the area of the business this role is working in.
- Impact of the role: How does this position contribute to business success, customer experience, or innovation?
- Link to strategy: Show how the role supports organisational priorities.
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 both mobile and fixed networks, and we invest heavily in our people and technology to make sure our customers get the best experience. It's in our culture to evolve and become better and with the emergence of AI and automation, we are keen to embrace the technology and understand the art of the possible. We are building a specialist Data & AI capability within Network Operations Transformation to accelerate our shift toward smarter, more proactive operations. 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. This role sits at the heart of how we measure progress and prove value. You'll help create consistent views of performance, demand, and workflow visibility, enabling teams to identify issues earlier, prioritise better, and optimise business outcomes. This includes partnering with stakeholders and tooling teams to ensure insight is scalable and reliable not just bespoke reporting. As part of the transformation team, you will bring curiosity, transparency, and continuous improvement building strong stakeholder relationships and raising data confidence through clear definitions, quality checks, and repeatable analysis. This role offers opportunities to explore modern analytics approaches, build your skills in operational data, and play a visible part in shaping the next generation of Network Operations. What you'll be doing
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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.
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Working with the Network Operations Transformation team, providing the analytical insight and performance visibility required to support automation, optimisation, and change.
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Conduct detailed analysis on complex operational datasets, often spanning multiple systems, to evaluate performance, demand, workflow behaviour, and operational outcomes.
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Develop advanced analytical products using appropriate analytics tooling to support deep-dive investigations, audits, and repeatable insight generation for senior stakeholders.
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Design and build dashboards and visualisations that communicate insight clearly and effectively to both technical and non-technical audiences.
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Improve efficiency through automation and standardisation, reducing manual effort in repeatable data analysis, and reporting by establishing reusable patterns, templates, and analytical standards.
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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., When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. Required Cookies These cookies are required to use this website and can't be turned off. Show More Details Required Cookies Provider Description Enabled SAP as service provider We use the following session cookies, which are all required to enable the website to function:
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Requirements
- 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 are used to 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 & conditions
Our Package Tailored benefits make a real difference. That's why we offer a comprehensive range to support your growth, wellbeing, and everyday life. You can design the package to suit you and your lifestyle. Your core benefits include:
- 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
- Equalized 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