Data & Analytics Placement Year (Undergraduate Programme)

Are you a current university student looking for a placement year where you can dive into the world of data and analytics? Join our Data & Analytics team at Moore Kingston Smith and gain hands-on experience in transforming data into actionable insights for decision-making.

We’re not just about solving problems – we’re about finding innovative ways to work smarter, explore new ideas, and collaborate as a team. You’ll be immersed in a culture that values learning, teamwork, and a balanced approach to delivering impactful results. As an accredited training firm, you will be joining a supportive environment where learning from mistakes is encouraged, and where you will receive support and mentorship from a team of experienced data professionals.

You’ll gain exposure to a wide range of data & analytics activities, including experience with tools like Power BI, Python, and Microsoft Fabric. You’ll gain insight into how a data-driven organisation operates, whilst having the opportunity to work on impactful projects with real-world applications.

Key Responsibilities

Your role will vary, but responsibilities may include:

Data Governance

• Supporting the creation and maintenance of data policies and procedures.
• Assisting in monitoring data integrity and compliance with regulations.
• Collaborating on data quality improvement initiatives.

Data Engineering & Architecture

• Working with our team to build and maintain scalable data pipelines.
• Assisting in organising and managing datasets for reporting and analysis.
• Exploring cloud-based data platforms, such as Microsoft Fabric.

Insights & Analysis

• Supporting the team in building Power BI dashboards and reports.
• Conducting exploratory data analysis to uncover trends and patterns.
• Helping to present clear, actionable insights to stakeholders.

Business Analysis

• Engaging directly with the business to understand their data challenges.
• Assisting in designing user-centric data solutions.
• Participating in brainstorming sessions to improve business processes.

Who are we looking for?

If you are a current university student looking to complete a placement year as part of your undergraduate degree, with an interest in data and analytics, this could be the opportunity for you!

Skills this role requires:

• A curiosity for data: You enjoy exploring data and learning how it can solve real-world problems
• Problem solving skills: You’re not afraid to ask questions and think critically about how to improve processes
• Enthusiasm for building solid relationships and collaborating with colleagues
• A proactive, results-driven attitude that ensures excellent client service
• High commitment and reliability to balance varied role responsibilities and training
• A growth mindset and adaptable approach, with a willingness to continuously acquire new skills and knowledge, supported by your manager and dedicated early talent team.

In order to be eligible for the programme, you will also need to:

• Have obtained at least 112 UCAS points from three A-Levels, or equivalent qualifications
• Be on track to achieve a 2:2 or above, from a degree in any discipline
• Be available and permitted to work in the UK, from the start date of the programme

Recruitment Process

The application process is made up of four stages:

1. Application
2. Interactive assessment
3. Virtual interview with one of the Early Talent team
4. Final interview in the office

If your application is progressed, we will reach out by inviting you to complete an interactive assessment online with more information on how to prepare and what to expect.

The Early Talent team are here to support you throughout the recruitment process and on the placement. In confidence, we can discuss the individual support and adjustments you may need. A few examples of the support we can provide include but are not limited to providing extra time in our interactive assessment or sharing interview questions ahead of time. Should you require any accommodations in the recruitment process, you should contact us.