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Data Analyst

Join an agile data team dedicated to evidence-based prevention, transforming complex business needs into clear functional and technical specifications. You will bridge the gap between data, technology, and public health impact while ensuring high-quality delivery through rigorous testing and analysis.

CONTEXT

Our client, a major player in its sector, is embarking on an ambitious Evidence Based Prevention (EBP) initiative that sits at the intersection of public health, data science, and digital transformation. The project aims to turn raw information into actionable insights that can prevent disease, improve population well-being, and guide strategic decisions. Within a cross-functional agile team, you will become the analytical translator who ensures that business ambitions are not just understood but precisely engineered into software and data solutions.

ACTIVITIES

  • Analyse complex business requirements and convert them into robust functional and technical specifications.
  • Collaborate with product owners, developers, and data engineers to refine user stories and create clear Jira tickets.
  • Perform functional testing and validation to guarantee that delivered features meet the highest quality standards.
  • Map data flows and processes using UML and BPMN, ensuring alignment between business expectations and technical implementation.
  • Participate actively in Agile/Scrum ceremonies, including sprint planning, daily stand-ups, reviews, and retrospectives.
  • Support the team in identifying opportunities to leverage cloud, AI, and LLMs for smarter prevention strategies.

EXPECTED ACHIEVEMENTS

  • Deliver a precise and well-documented functional blueprint that accelerates development and reduces rework.
  • Ensure that every feature deployed contributes measurably to the Evidence Based Prevention mission.
  • Raise the overall quality bar through rigorous testing and proactive risk identification.
  • Become a trusted bridge between business stakeholders and technical experts, enabling faster and better-informed decisions.
  • Contribute to a culture of continuous improvement where data is used responsibly and creatively.

ENVIRONMENT

  • Agile/Scrum methodology with a strong emphasis on collaboration and iterative delivery.
  • Tools such as Jira, Confluence, and modern requirements management platforms.
  • Modelling languages including UML and BPMN.
  • Data and ICT project lifecycle, with SQL as a core skill.
  • Exposure to cloud platforms (AWS), artificial intelligence, and large language models as optional but valued dimensions.
  • A mission-driven atmosphere where analytical rigour meets public health impact.