Senior data analyst

Made Tech Limited
Manchester
1 week ago
Applications closed

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As a Senior Data Analyst at Made Tech, you’ll play a pivotal role in helping public sector organisations become truly data-led. You’ll join our data team in its mission to get data knowledge and skills out of silos and embedded into delivery teams. You will provide advanced data modelling, predictive analytics, and data visualisation, allowing us to deliver more sophisticated and customised solutions to our clients.

Key responsibilities

  • Data analysis and reporting: Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects.
  • Data and BI visualisation: Producing BI dashboards using industry-standard tools - Power BI, Tableau, Quicksight etc.
  • Client interaction: Collaborating with clients to understand their needs, translating these into analytical solutions, and presenting findings in a clear, actionable manner.
  • Mentoring and/or line managing: Junior analysts, leading data-focused projects, and setting best practices in data analysis.

Skills, knowledge and expertise

Technical skills:

  • Data Analysis & Insight Generation: Strong analytical skills, including statistical analysis, data mining, and qualitative research, with the ability to synthesise data into actionable insights.
  • Data Management & Governance: Knowledge of data storage, governance policies, and best practices, with experience in advocating for data quality and automating data management processes.
  • Data Modelling & Integration: Expertise in conceptual, logical, and physical data modelling, data cleansing, and integration using ETL tools to ensure accuracy and interoperability.
  • Data Visualisation: Proficiency in tools such as Tableau, Power BI, and Python visualisation libraries, with the ability to create clear, accessible, and engaging data presentations.
  • Quality Assurance & Validation: Experience in ensuring data accuracy through validation, cleansing, linkage, and peer review, while effectively communicating data limitations.
  • Statistical & Analytical Techniques: Knowledge of key statistical methods (e.g., regression, clustering, hypothesis testing) and ability to apply emerging analytical approaches to solve business challenges.

Business & Communication Skills:

  • Stakeholder Engagement: Strong communication and persuasion skills to engage technical and non-technical stakeholders, including sceptical colleagues.
  • Problem-Solving & Decision-Making: Logical and creative thinker, able to break down complex problems and develop innovative solutions.
  • Presentation & Storytelling: Skilled at translating complex data insights into clear, compelling narratives for senior management and diverse audiences.
  • Adaptability & Continuous Learning: A proactive mindset, eager to learn and improve processes, with the flexibility to adapt to evolving business needs.
  • Leadership: Proven track record of leading data projects and mentoring team members.

Support in applying

If you need this job description in another format, or other support in applying, please email .

We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We’re collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us.

When you apply, we’ll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates.

Location:

Any UK Office Hub (Bristol / London / Manchester / Swansea)

Department:

Delivery & Practices > Data & AI Practice

Join us in our mission to use technology to improve society for everyone.


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