Data Analyst

Job Description Overview AtkinsRéalis is growing its Digital Insights & Experience (DI&E) consulting capability and is looking for Data Analysts who are curious, analytically minded, and motivated to help organisations make better decisions through data‑driven insight. DI&E brings together data analytics, insight generation and experience‑informed decision‑making to enable confident transformation in secure and regulated environments. Our Data Analysts work at the intersection of data, technology and business context—helping clients understand performance, identify opportunities, and translate analysis into clear, actionable insight. We are building a multi‑disciplinary team of people from diverse backgrounds. You might be a data analyst, reporting specialist, BI developer, or an analytically‑minded consultant looking to deepen your technical capability while working in a consulting environment. We welcome adaptable problem‑solvers who want to apply analytics to real‑world challenges and continue to grow their careers. When it comes to living your life, we want your role at AtkinsRéalis to be a meaningful part of your personal journey. You’ll join a collaborative, inclusive team culture where people support, mentor and challenge one another. We succeed together, and our flexible and hybrid working practices are designed to support different priorities and ways of working. Your role As a Data Analyst within our Digital Insights & Experience and Secure Government business, you will help clients understand, improve and optimise their performance through data‑driven insight. You will work on a wide variety of analytics and transformation programmes across public and private sector environments, often within secure, regulated or complex organisational contexts. Opportunities may include overseas working where appropriate. AtkinsRéalis provides significant investment in training and development. We want to help you grow as a data professional, strengthen your consulting capability, and build a sustainable and rewarding career. The role as a Data Analyst will involve: • Working alongside AtkinsRéalis Technical Directors, Principals and multi‑disciplinary delivery teams to design and deliver data analytics and visualisation solutions for our clients. • Working with clients to integrate data analytics best practices into their processes and decision‑making. • Working with stakeholders to identify, define and deliver self‑service analytics solutions, dashboards and actionable reports that support decision‑making. • Handling, merging, cleaning and transforming multi‑source data to enable robust analysis and insight generation. • Effectively applying statistical investigation, data analysis and visualisation techniques to bring business problems to life and clearly communicate the ‘so what’ in data. • Designing and implementing intuitive, consistent and user‑focused data visualisations across environments and formats. • Working in agile delivery environments, including requirements gathering, user stories, prototyping, demonstrations and iterative feedback with end users. • Working on projects end‑to‑end, from requirements definition through implementation, testing, documentation, end‑user training and handover to client teams. • Collaborating effectively with technical and non‑technical stakeholders across a range of experience and seniority levels. • Contributing to decision‑making that supports successful project delivery and measurable client outcomes. • Working with peers to develop new analytics capabilities, solutions and methodologies to deliver to clients. • Communicating and ‘selling’ analytical insight and solutions to peers and clients to drive understanding and adoption. • Supporting the development of junior colleagues through mentoring and being open to line management responsibilities where appropriate. • Continuously developing your data analysis and visualisation skills through formal training, mentoring and hands‑on delivery experience. • Participating in external and internal activities related to your specialism, including client engagement, conferences, research and thought leadership. About you • Professional experience working in a data analytics or related role, with opportunities available across a range of experience levels. • Strong analytical thinking, attention to detail and the ability to translate complex data into clear, actionable insight. • Strong communication skills, with the ability to build trust, collaborate widely, and communicate effectively with both technical and non‑technical audiences. • Experience working in a project environment, including requirements gathering with business users and involvement in testing cycles such as unit testing, system testing and integration testing. • A consultative mindset and strong commercial acumen, with the ability to articulate the value of analytics, the services we offer and the outcomes we can deliver. • Experience using data visualisation tools, preferably Microsoft Power BI (or alternatives such as Tableau, Qlik or Looker). • Experience with data transformation and modelling tools such as SQL, Python, DAX, Power Query, NoSQL, Azure Data Factory or similar technologies. • Proven experience owning or contributing to end‑to‑end analytics solutions, including roadmap definition, documentation, training and handover. • Confidence working in agile or iterative delivery environments. • Excellent verbal and written communication skills, including report writing and presentation of insights. • Experience contributing to bids, proposals, value propositions or analytics solution development is desirable. • Experience working with a range of data types (e.g. operational, security, network, AI or large‑scale data) is desirable. • Experience creating or adapting data visualisations for different audiences and contexts is desirable. • Experience mentoring or line managing junior colleagues is desirable. • Experience i