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Data Analyst SC cleared
Job Location:
Yearly Salary:
Posted:
29 September 2026 (Yesterday)
Posted:
Application Deadline:
27 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
About Made Tech
Our aim at Made Tech is to use human-centred technology to improve our society. We believe putting people at the heart of designing building and delivering public services leads to better outcomes 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
About the role
As a Data Analyst you may play one or more roles according to our clients needs. The role is very hands-on and youll support as contributor for a project focusing on:
Our aim at Made Tech is to use human-centred technology to improve our society. We believe putting people at the heart of designing building and delivering public services leads to better outcomes 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
About the role
As a Data Analyst you may play one or more roles according to our clients needs. The role is very hands-on and youll 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: 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.
Youll need to have a drive to deliver outcomes for users. Youll make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution.
Key Responsibilities
Analysis & Synthesis
- Apply statistical qualitative and data mining techniques tailored to research contexts.
- Synthesize data to deliver actionable insights and articulate impacts on decision-making.
- Engage effectively with skeptical colleagues to build consensus and buy-in.
Data Management
- Maintain data accuracy accessibility and storage using common data sources.
- Adhere to team data governance security and ethical standards.
- Support continuous improvement documentation and process automation (desirable).
- Utilize and learn data management tools to maintain integration and efficiency.
Data Modeling Cleansing & Enrichment
- Design conceptual logical and physical data models using best practices.
- Perform data cleansing and standardization to resolve quality issues.
- Gain exposure to ETL tools to ensure data interoperability across datasets.
- Collaborate with data professionals to refine modeling and integration practices.
Data Visualization
- Create visually appealing representations tailored to audience requirements.
- Apply visualization tools (e.g. Tableau Power BI Matplotlib Seaborn).
- Follow core design and accessibility principles to produce clear accurate visuals.
- Incorporate peer feedback to refine visualization quality.
Quality Assurance Validation & Linkage
- Conduct data profiling validation checks and multi-source data linkage.
- Prepare datasets by managing missing values duplicates and advanced cleansing.
- Communicate data limitations to assist stakeholders in informed decision-making.
- Participate in peer reviews to uphold data accuracy standards.
Statistical Methods & Data Analysis
- Execute statistical techniques including hypothesis testing regression analysis and clustering.
- Analyze data via programming languages/software to share insights with technical and non-technical audiences.
- Explore and apply emerging statistical methodologies to real-world problems.
Business Skills
- Manage expectations and interact across technical and business stakeholder groups.
- Maintain active updates respond to inquiries and foster collaborative environments.
- Translate basic business requirements into technical solutions.
- Simplify complex data insights into clear presentations for various audiences.
Logical & Creative Thinking
- Break down problems logically and generate structured solutions.
- Make informed decisions prioritize tasks and resolve issues efficiently.
- Demonstrate adaptability curiosity and a strong continuous learning orientation.
Skills Knowledge & Expertise
- Proficiency in applying various analytical methods such as statistical analysis data mining and qualitative analysis.
- 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.
- Effective communication skills to engage and gain buy-in from sceptical colleagues.
- Familiarity with common data sources and general knowledge of data organisation and storage practices.
- Understanding of data governance standards and a commitment to following data quality practices set by the team.
- Ability to contribute to improvements in data management practices by supporting documentation learning from team training and actively participating in discussions
- Experience with using data management tools with a willingness to learn more about maintaining efficiency and integration.
- Basic understanding of data governance policies with a focus on following data security and ethical standards.
- An interest in learning how to automate data management activities to streamline processes and improve accuracy (desirable).
- Experience with conceptual logical and physical data modelling. Ability to adhere to data modelling standards and best practices.
- Experience in resolving data quality issues and ensuring data accuracy through cleansing and standardisation techniques.
- Basic experience with ETL tools for data integration and storage with a focus on learning how to ensure data interoperability with other datasets.
- Some experience working with other data professionals with a focus on learning and improving data modelling and integration practices through teamwork.
At this point we hope youre feeling excited about Made Tech and the job opportunity. Get in touch with our talent team if youd like an informal chat about the role and your suitability before applying. We are hiring for this role directly so will not respond to any CVs sent via external recruitment agencies.
SC clearance must be held and live due to our client requirements.
Support in applying
SC clearance must be held and live due to our client requirements.
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. Were 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 well put you in touch with a member of our talent team who can help with any needs or adjustments we may need to make to help with your application. Weve put together this blog as a resource to share more about reasonable adjustments and some examples of what this could include. We also welcome any feedback on how we can improve the experience for future candidates.
Life at Made Tech
Life at Made Tech
Were committed to building a happy inclusive and diverse workforce. You can get a sense of what its like working here from our blog where we talk about mental health communities of practice and neurodiversity as well as our client work and best practice.
Like many organisations we use Slack to chat to each other. The Slack groups that have formed give an idea of the diversity within Made Tech. If youd like to speak to someone from one of these groups about their experience as an employee please let one of the Made Tech Talent Team know.
The groups are:
- antiracist-activists
- disability
- lgbtqiaplus-allies-and-activists
- neurodiversity
- parents-carers
- Womxn-in-tech
Job Benefits
We are always listening to our growing teams and evolving the benefits available to our people. As we scale as do our benefits and we are scaling quickly. Weve recently introduced a flexible benefit platform which includes a Smart Tech scheme Cycle to work scheme and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. Were also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to.
Here are some of our most popular benefits listed below:
Required Experience:
IC
About Company
We provide Digital, Data and Technology services to help organisations make a positive impact – fast.
