At a Glance
- Tasks: Lead a dynamic Data & Analytics team, driving strategy and best practices.
- Company: Join a well-established organisation investing in data capabilities.
- Benefits: Enjoy a supportive environment with opportunities for personal and professional growth.
- Other info: Collaborative culture focused on innovation and continuous improvement.
- Why this job: Influence data strategy and drive meaningful improvements across the organisation.
- Qualifications: Proven leadership in Data, BI, or Analytics with strong technical skills.
An exciting opportunity has arisen for an experienced Data & Analytics leader to join a well-established, multi-site organisation undergoing continued investment in its data capability. This role is ideally suited to someone who enjoys leading technical teams, driving best practice, and shaping data strategy rather than being solely hands-on. Approximately 70% of the position is focused on leadership, governance, stakeholder engagement, documentation management, and continuous improvement, with the remainder providing technical oversight and direction across data and analytics initiatives.
Working closely with senior leadership, you'll be responsible for building scalable, reliable, and business-focused data solutions while developing the processes, standards, and methodologies that underpin a high-performing data function.
The Role
You'll act as the technical and operational lead for the Data & Analytics team, overseeing the delivery of reporting, data engineering, automation, and analytics projects that support strategic business decision-making.
- Leading, mentoring, and developing a team of analysts and technical specialists.
- Owning and maintaining documentation, governance frameworks, technical standards, and best practices.
- Driving continuous improvement initiatives, identifying opportunities to optimise processes, automate manual activities, and enhance operational efficiency.
- Establishing and refining methodologies, development frameworks, and ways of working across the data function.
- Leading technical decision-making and solution design while ensuring scalability, security, and maintainability.
- Collaborating with stakeholders across the organisation to translate business requirements into effective data-driven solutions.
- Overseeing data architecture, integration processes, and enterprise data modelling.
- Ensuring data quality, governance, compliance, and reporting standards are consistently maintained.
- Managing the roadmap for data and analytics platforms and evaluating emerging technologies and innovation opportunities.
- Supporting project planning, delivery oversight, resource prioritisation, and technical governance.
About You
We're looking for an experienced data professional who has successfully moved into leadership and is passionate about developing teams, improving processes, and driving organisational data maturity.
You'll likely bring:
Essential Experience
- Proven experience leading Data, BI, Analytics, or Data Engineering teams.
- Strong background in Business Intelligence and analytics solution delivery.
- Advanced experience with Power BI and reporting platforms.
- Strong SQL and database expertise.
- Experience designing and maintaining enterprise data models and data solutions.
- Knowledge of ETL/ELT processes, data integration, and governance principles.
- Experience delivering technical projects and managing stakeholders across varying levels of seniority.
- Strong communication, leadership, and organisational skills.
Desirable Experience
- Exposure to Microsoft Fabric, Azure Data Services, or similar cloud-based data platforms.
- Experience with automation, Python, or advanced analytics environments.
- Knowledge of AI-enabled analytics and modern data practices.
- Microsoft certifications or equivalent professional qualifications.
Why Apply?
This is an opportunity to take ownership of a growing data function where you can genuinely influence strategy, shape technical standards, and drive meaningful improvements across people, processes, and technology. You'll join an organisation that values innovation, collaboration, and continuous improvement while offering a supportive environment for personal and professional growth.
Data Lead in Slough employer: Akkodis
Join a leading defence and technology organisation in Stevenage as a Principal Commercial Officer, where you will thrive in a collaborative work culture that values your contributions and supports your professional growth. With competitive salaries, excellent benefits, and hybrid working arrangements, this role offers the unique opportunity to engage with nationally significant programmes while developing your career in a complex and regulated environment. Experience a workplace that prioritises continuous improvement and fosters strong stakeholder relationships, making it an ideal setting for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Lead in Slough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Akkodis!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Lead at Akkodis.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Akkodis.
✨Apply Directly through Our Website
When you find a suitable opening like Data Lead at Akkodis, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Lead in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Akkodis, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Akkodis. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Akkodis
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Akkodis!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
