Data Analyst (Intern)

We are seeking a motivated and enthusiastic Data Analyst Intern to join our team. The ideal candidate will have a foundational understanding of data analysis principles, a passion for working with data, and a desire to learn and grow in a professional setting. As a Data Analyst Intern, you will have the opportunity to work on real-world projects, gain hands-on experience, and develop your skills under the guidance of experienced professionals.


  • Data Collection and Preparation: Collect, clean, and prepare data from various sources, including EPOS systems, databases, and external sources, for analysis and reporting purposes.
  • Data Analysis: Conduct exploratory data analysis to identify trends, patterns, and correlations in EPOS transaction data, customer behavior data, and other business data sets.
  • Data Visualization: Create clear and informative data visualizations, such as charts, graphs, and dashboards, to communicate insights and findings to stakeholders.
  • Statistical Analysis: Perform statistical analysis and hypothesis testing to derive actionable insights and support decision-making processes.
  • Reporting: Generate regular and ad-hoc reports summarizing key performance indicators (KPIs), trends, and insights to support business operations and strategic initiatives.
  • Predictive Modeling: Assist in the development and implementation of predictive models and machine learning algorithms to forecast sales, identify customer segments, and optimize business processes.
  • Data Quality Assurance: Ensure the accuracy, completeness, and integrity of data through data validation, quality checks, and error detection.
  • Collaboration: Collaborate with cross-functional teams including product managers, business analysts, and software developers to understand data requirements and deliver data-driven solutions.
  • Documentation: Document data analysis processes, methodologies, and findings to facilitate knowledge sharing and replication of analysis.
  • Continuous Learning: Stay up-to-date with the latest trends, tools, and techniques in data analysis and data science, and apply new knowledge to improve analysis capabilities and outcomes.


  • Currently enrolled in a Bachelor’s degree program in Data Science, Statistics, Computer Science, or related field.
  • Strong analytical skills and ability to analyze and interpret complex data sets.
  • Proficiency in data manipulation and analysis using tools such as Excel, SQL, Python, or R.
  • Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn.
  • Knowledge of statistical analysis techniques and methodologies.
  • Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.
  • Detail-oriented with strong organizational skills and ability to manage multiple tasks simultaneously.
  • Previous experience with data analysis projects or coursework is a plus, but not required.
  • Passion for learning and a proactive attitude towards problem-solving and self-improvement.

Duration: 6- 8 months

Job Type: Hybrid
Job Location: Slough United Kingdom
Application Deadline: 31st July 2024

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