Data Analyst

hackajob is partnering directly with Made Tech to hire for this role.

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 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 dat...