Senior Data Analyst
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-03-15
Listing for:
Made Tech
Full Time
position Listed on 2026-03-15
Job specializations:
-
IT/Tech
Data Analyst, Data Engineer, Data Science Manager, Data Warehousing
Job Description & How to Apply Below
Overview
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.
The role is very hands-on and you'll support as a senior contributor role 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
:
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 junior analysts, leading data-focused projects, and setting best practices in data analysis
- Analysis and synthesis
- Application of analytical techniques
:
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
:
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
:
Effective communication and persuasion skills to engage and gain buy-in from sceptical colleagues. Ability to foster collaboration and address concerns to ensure adherence to best practices. - Advisory and critique skills
:
Capability to advise on the choice and application of analytical techniques and critique colleagues' findings to ensure high standards in data analysis.
- Data Management
- Understanding of data sources and storage
:
Knowledge of various data sources, data organisation, and storage practices. Commitment to maintaining data integrity and accessibility. - Advocacy for data governance
:
Experience in advocating for data governance standards and influencing team adherence to data quality practices. - Continuous improvement
:
Ability to communicate and implement continuous improvements in data management practices through documentation, training, and regular team engagement. - Toolset management
:
Proficiency in defining and supporting common toolsets for data management, ensuring efficiency and seamless integration. - Automation of data management
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Experience in automating data management activities to streamline processes and increase accuracy. (desirable) - Compliance with data governance policies
:
Understanding and ensuring compliance with data governance policies, maintaining data security and ethical standards.
- Data modelling, cleansing, and enrichment
- Data modelling expertise
:
Proficient in conceptual, logical, and physical data modelling. Ability to adhere to data modelling standards and best practices. - Data cleansing and standardisation
:
Experience in resolving data quality issues and ensuring data accuracy through cleansing and standardisation techniques. - Use of data integration tools
:
Skilled in using ETL tools for data integration and storage. Ensures data interoperability with other datasets. - Collaboration with data professionals
:
Experience collaborating with other data professionals to improve modelling and integration standards and patterns. - Interpretation of requirements
:
Ability to interpret data visualisation requirements and create meaningful, visually appealing representations tailored to the audience. - Proficiency in visualisation tools
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Experience with tools such as Tableau, Power BI, and Python libraries like Matplotlib and Seaborn. Knowledge of selecting appropriate visualisation types. - Application of visualisation standards
:
Application of design principles to create clear, accurate, and accessible visualisations. Awareness of accessibility considerations. - Mentorship in visualisation
:
Experience in reviewing and advising junior…
Position Requirements
10+ Years
work experience
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