Data Analyst

Must be eligible to gain UK Security Clearance

Made Tech wants to positively impact the country's future by using technology to improve society, for everyone. We want to empower the public sector to deliver and continuously improve digital services that are user‑centric, data‑driven and freed from legacy technology. A key component of this is developing modern data systems and platforms that drive informed decision‑making for our clients. You will also work closely with clients to help shape their data strategy.

As a Data Analyst, you may play one or more roles according to our clients' needs. The role is very hands‑on and you'll support as contributor for a project, focusing on:

• Data analysis and reporting
  :
  Conducting in‑depth data analysis, generating reports, and providing actionable insights for client projects.
• Data and BI visualisation
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  Producing BI dashboards using industry‑standard tools – Power BI, Tableau, Quicksight etc.
• Client interaction
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  Collaborating with clients to understand their needs, translating these into analytical solutions, and presenting findings in a clear, actionable manner.

You’ll need to have a drive to deliver outcomes for users. You’ll make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution.

Analysis and synthesis

• Application of analytical techniques
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  Proficiency in applying various analytical methods such as statistical analysis, data mining, and qualitative analysis. Ability to select and apply appropriate techniques based on the context and research data.
• Synthesis of research data
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  Experience in synthesising research data to present actionable insights and solutions. Ability to articulate the impact of their analysis on decision‑making and problem‑solving.
• Engagement with sceptical colleagues
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  Effective communication skills to engage and gain buy‑in from sceptical colleagues.

Data Management

• Good understanding of data sources and storage
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  Familiarity with common data sources and general knowledge of data organisation and storage practices. Willingness to maintain data accuracy and accessibility.
• Awareness of data governance
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  Understanding of data governance standards and a commitment to following data quality practices set by the team.
• Continuous improvement
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  Ability to contribute to improvements in data management practices by supporting documentation, learning from team training, and actively participating in discussions.
• Toolset support
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  Experience with using data management tools, with a willingness to learn more about maintaining efficiency and integration.
• Interest in automation
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  An interest in learning how to automate data management activities to streamline processes and improve accuracy (desirable).
• Compliance with data governance policies
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  Basic understanding of data governance policies, with a focus on following data security and ethical standards.

Data modelling, cleansing, and enrichment

• Data cleansing and standardisation
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  Experience in resolving data quality issues and ensuring data accuracy through cleansing and standardisation techniques.
• Exposure to data integration tools
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  Basic experience with ETL tools for data integration and storage, with a focus on learning how to ensure data interoperability with other datasets.
• Collaboration with data professionals
  :
  Some experience working with other data professionals, with a focus on learning and improving data modelling and integration practices through teamwork.
• Understanding visualisation requirements
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  Ability to understand data visualisation needs and create simple, visually appealing representations suited to the audience.
• Good working knowledge of visualisation tools
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  Experience using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn), with a willingness to learn how to choose the right visualisation type for different data sets.
• Awareness of visualisation standards
  :
  Understanding of design principles to create clear and accurate visualisations, with an interest in learning about accessibility best practices.
• Willingness to learn from…