We're looking for a Data Analyst to join our Data and AI Engineering team. This role is adecuado for those who are passionate about transforming raw data into actionable insights, uncovering patterns that drive business decisions, and building data-driven narratives that matter.
You'll work with cross-functional teams to design analytics solutions, create compelling visualizations, and support evidence-based decision-making across life sciences projects. Whether you're analysing clinical trial data, operational metrics, or business performance, we welcome analysts who thrive in collaborative, curiosity-driven environments and can translate complex datasets into clarity.
Responsibilities
- Design and develop interactive dashboards and reports in Power BI that provide clear insights to stakeholders and support data-driven decision-making.
- Build ETL pipelines and data transformations using Python to prepare and process structured and unstructured data.
- Analyse large datasets to identify trends, anomalies, patterns, and opportunities for optimisation or improvement.




- Collaborate with Data Engineers and Business Stakeholders to understand analytical requirements and translate them into technical specifications.
- Create reusable data models and calculationsin Power BI and supporting data infrastructure to enable self-service analytics.
- Perform exploratory data analysis (EDA) and statistical analysis using Python (pandas, NumPy, SciPy, scikit-learn).
- Document data lineage, assumptions, and methodologies to ensure transparency and reproducibility in analytical work.
- Support data quality initiatives, identify data issues, and collaborate on data governance improvements.
- Present findings and recommendations to technical and non-technical audiences with clarity and impact.
- Apply good practices around testing, version control, and documentation for analytical code and models.

Requirements - Must have
What We're Looking For
We're committed to building a skilled and

📌 Data Analyst (Laza)
🏢 MIGx
📍 Laza