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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 you'll support as a 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.
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.
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.
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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.
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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.
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. We've 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. We’re 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:
- 30 days Holiday [https://github.com/madetech/handbook/blob/main/benefits/taking_holiday.md] - we offer 30 days of paid annual leave
- Flexible Working Hours [https://github.com/madetech/handbook/blob/master/benefits/working_hours.md] - we are flexible with what hours you work
- Flexible Parental Leave [https://github.com/madetech/handbook/blob/master/guides/welfare/parental_leave.md] - we offer flexible parental leave options
- Remote Working [https://github.com/madetech/handbook/blob/main/benefits/hybrid_working.md] - we offer part time remote working for all our staff
- Paid counselling [https://github.com/madetech/handbook/blob/main/guides/welfare/paid_counselling.md] - we offer paid counselling as well as financial and legal advice
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