Data Analyst in London

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.

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.

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.

Skills, Knowledge & Expertise

• Analysis and synthesis
• Application of analytical techniques: Proficiency in applying various analytical methods such as statistical analysis, data mining, and qualitative analysis.
• Synthesis of research data: Experience in synthesising research data to present actionable insights and solutions.
• Engagement with sceptical colleagues: Effective communication skills to engage and gain buy-in from sceptical colleagues.
• Data Management
• Good understanding of data sources and storage: Familiarity with common data sources and general knowledge of data organisation and storage practices.
• Awareness of data governance: Understanding of data governance standards and a commitment to following data quality practices set by the team.
• Continuous improvement: Ability to contribute to improvements in data management practices by supporting documentation, learning from team training, and actively participating in discussions.
• Toolset support: Experience with using data management tools, with a willingness to learn more about maintaining efficiency and integration.
• Interest in automation: An interest in learning how to automate data management activities to streamline processes and improve accuracy (desirable).
• Compliance with data governance policies: 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: Experience in resolving data quality issues and ensuring data accuracy through cleansing and standardisation techniques.
• Exposure to data integration tools: Basic experience with ETL tools for data integration and storage.
• 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.
• Data Visualisation
• Understanding visualisation requirements: Ability to understand data visualisation needs and create simple, visually appealing representations suited to the audience.
• Good working knowledge of visualisation tools: Experience using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn).
• Awareness of visualisation standards: Understanding of design principles to create clear and accurate visualisations.
• Willingness to learn from peers: Open to feedback and guidance from senior team members to improve the quality of your visualisations.
• Data Quality Assurance, Validation, and Linkage
• Data quality assurance: Familiarity with data quality assessment techniques, such as data profiling and cleansing.
• Data validation and linkage: Experience performing basic data validation checks and combining data from different sources.
• Data cleansing and preparation: Experience in data preparation, including handling missing values and duplicates.
• Communication of data limitations: Ability to discuss data limitations with guidance from others.
• Participating in peer reviews: Willingness to participate in peer reviews to improve data accuracy.
• Statistical Methods and Data Analysis
• Knowledge of statistical methods: Familiarity with common statistical techniques like hypothesis testing, regression analysis, and basic clustering.
• Data analysis and interpretation: Experience using statistical software or programming languages for data analysis.
• Willingness to learn new methodologies: Interest in exploring and applying new statistical techniques.
• Communication
• Stakeholder communication: Some experience working with different types of stakeholders.
• Willingness to engage in active and reactive communication: Comfortable sharing updates and responding to inquiries.
• Interpretation of stakeholder needs: Ability to understand basic stakeholder requirements.
• Presentation skills: Experience presenting data and insights.
• Logical and creative thinking
• Problem-solving skills: Ability to apply logical thinking to break down simpler problems.
• Decision-making and action-taking: Experience in making informed decisions and prioritising tasks.
• Adaptability and learning orientation: Willingness to adapt to new challenges and a strong desire to learn and improve continuously.

Job Benefits

• 30 days Holiday - we offer 30 days of paid annual leave + bank holidays!
• Flexible Parental Leave - we offer flexible parental leave options.
• Remote Working - we offer part time remote working for all our staff.
• Paid counselling - we offer paid counselling as well as financial and legal advice.

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

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.