Data Analyst

Made Tech aims to positively impact society through technology by empowering the public sector to deliver user-centric, data-driven digital services, free from legacy systems. A core focus is developing modern data systems and platforms to support informed decision-making for clients, with close collaboration to shape data strategies.

Key responsibilities

As a Data Analyst, your roles will vary based on client needs. The position is hands-on, supporting projects with a focus on:

• Data analysis and reporting: Conduct in-depth analyses, generate reports, and provide actionable insights.
• Data and BI visualisation: Create dashboards using tools like Power BI, Tableau, Quicksight.
• Client interaction: Understand client needs, develop analytical solutions, and present findings clearly.

You will ensure outcomes for users are delivered, considering the broader context of each delivery and aligning operational and analytical aspects.

Skills, knowledge, and expertise

Analysis and synthesis

• Application of analytical techniques: Proficiency in statistical analysis, data mining, qualitative analysis, selecting appropriate methods based on context.
• Synthesis of research data: Experience in presenting insights that influence decision-making and problem-solving.
• Engagement with sceptical colleagues: Effective communication to gain buy-in from skeptical team members.

Data Management

• Understanding data sources and storage: Familiarity with data sources, organization, and storage practices; commitment to data accuracy.
• Data governance awareness: Knowledge of data quality standards and practices.
• Continuous improvement: Contribute to data management enhancements through documentation, learning, and discussions.
• Toolset support: Experience with data management tools and willingness to learn more.
• Interest in automation: Desire to learn automating data activities to streamline processes.
• Compliance: Basic understanding of data security and ethics policies.

Data modelling, cleansing, and enrichment

• Data cleansing and standardisation: Experience resolving data quality issues.
• Data integration tools: Basic experience with ETL tools and ensuring data interoperability.
• Collaboration: Working with data professionals to improve practices.
• Visualisation requirements: Ability to understand and create suitable visual data representations.
• Visualisation tools: Experience with Tableau, Power BI, or Python libraries; interest in accessibility standards.
• Learning from peers: Open to feedback to improve visualisations.

Data Quality Assurance, Validation, and Linkage

• Quality assurance: Familiarity with data profiling and cleansing techniques.
• Validation and linkage: Experience with validation checks and data merging.
• Data preparation: Handling missing data and duplicates.
• Communication: Discussing data limitations with guidance.
• Peer reviews: Participating to improve data quality.

Statistical Methods and Data Analysis

• Knowledge of statistical methods: Familiarity with hypothesis testing, regression, clustering; eagerness to learn appropriate applications.
• Analysis and interpretation: Using software or programming languages to derive insights and communicate findings.
• Learning new techniques: Interest in applying emerging statistical methods with support.

Communication

• Stakeholder engagement: Experience with technical and business stakeholders; managing expectations.
• Active communication: Sharing updates, responding to inquiries.
• Understanding needs: Translating stakeholder requirements into technical solutions.
• Presentation skills: Simplifying complex data for diverse audiences.

Logical and creative thinking

• Problem-solving: Applying logical approaches to problems with support.
• Decision-making: Prioritising and taking actions effectively.
• Adaptability: Willingness to learn and adapt to new challenges.

Support in applying: For assistance with the application process or alternative formats, contact .

We believe in using tech to improve public services and value diversity within our team. We encourage underrepresented groups to apply. We provide support for applicants with needs or adjustments during the process, including feedback to improve future experiences.

Our community is fostered through Slack channels, interest groups, and communities of practice. Interested candidates can reach out to discuss experiences or learn more.

We offer flexible benefits including 30 days holiday, remote working, paid counseling, and other perks. Candidates must be eligible for SC clearance, requiring 5 years of UK residency. If eligibility is not confirmed during the process, applications will not proceed.

Location options include any UK Office Hub (Bristol, London, Manchester, Swansea). Our hiring process involves screening calls, interviews with the team, and final discussions with leadership, with supportive feedback throughout.