Junior Data Analyst

Anson McCade; Greater London; On-site; GBP 25,000 - 35,000; Full time

Job summary

A leading technology group is looking for a Junior Data Analyst to support data analytics and AI initiatives. The role involves data preparation, exploratory analysis, and using tools for visualisation. Ideal candidates should have a relevant degree and basic experience in data manipulation and analysis. The position offers practical experience in AI solutions and collaboration within a cross-functional team, ideal for those starting their data career.

Qualifications

• Degree or equivalent experience in a relevant field.
• Basic experience in data analysis and manipulation.
• Understanding of fundamental ML concepts.

Responsibilities

• Prepare and validate data from multiple sources.
• Conduct exploratory analysis for insights.
• Assist with ML pipeline and feature preparation.

Skills

Data analysis and manipulation (Python, pandas, NumPy)

Data visualisation tools (matplotlib, seaborn, Power BI, Tableau)

Analytical thinking

Attention to detail

Education

Degree in Data Science, Computer Science, Engineering, Mathematics, or Statistics

Job description

Our client is part of a globally recognised technology group, named one of Britain’s Most Admired Companies for excellence in innovation, leadership and talent development, consistently ranked at the top of the UK’s corporate reputation studies for major engineering and technology sectors.

As a Junior Data Analyst, you will play a hands‑on role in supporting the delivery of data, analytics and early‑stage AI initiatives that help accelerate digital transformation across a wide range of global technology projects. Operating within a collaborative, agile environment, you will work alongside the AI/Data Science Specialist and Digital Solutions team to contribute to data preparation, analysis, reporting, experimentation, and the responsible exploration of AI tools and methodologies.

This is a learning‑focused role suited to an analytically minded professional who is early in their data career, enjoys working directly with data and insights, and is passionate about developing practical AI and analytics experience in real‑world technical contexts.

You’ll have the opportunity to:

• Support data collection, cleaning, preprocessing and validation from diverse sources
• Perform exploratory data analysis to identify trends, patterns and insights
• Contribute to early‑stage machine learning experiments and feature preparation
• Explore and evaluate off‑the‑shelf AI tools and platforms for defined use cases
• Assist in maintaining reproducible, well‑structured datasets and documentation
• Create clear data visualisations (charts, tables, dashboards) to communicate insights
• Support internal reporting, presentations and technical summariesCollaborate closely with AI/Data Science Specialists and the Digital Solutions team

Your Responsibilities:

• Prepare and validate data from multiple systems, sensors, APIs and files
• Check and support data quality, consistency and completeness
• Conduct exploratory analysis to support insights and experimentation
• Assist with ML pipeline, feature preparation and evaluation under guidance
• Research and document different modelling approaches and tools tested
• Maintain comprehensive, reproducible data and project documentation
• Support adherence to AI/data governance, quality standards and best practice
• Communicate findings clearly to technical and non‑technical stakeholders
• Collaborate within a cross‑functional team on digital projects

Key Requirements:

• Degree (or equivalent experience) in Data Science, Computer Science, Engineering, Mathematics, Statistics or a related field
• Basic experience in data analysis and manipulation (e.g. Python, pandas, NumPy or similar)
• Experience with data visualisation tools (e.g. matplotlib, seaborn, Power BI, Tableau or equivalent)
• Understanding of fundamental ML concepts (e.g. supervised vs unsupervised learning)
• Strong analytical thinking, organisation and attention to detail
• Ability to explain complex information clearly in plain language
• Comfortable working within documentation, data management and governance standards
• Able to manage multiple tasks with well‑structured data and documentation

You will gain exposure with:

• Practical experience of AI & data solutions, ML workflows, or model experimentation
• Handling time series, image, or tabular data
• Exposure to real-world digital and AI initiatives across IoT, cloud, and analytics
• Collaborative agile delivery and cross‑functional teamwork