09 ago
|
MIGx
|
Barcelona
About the profile
We’re looking for a Data Analyst and QA Engineer (Hybrid role) to join our Data and AI Engineering team. This role is idóneo for those with a quality-first mindset - passionate about profiling, testing, and safeguarding the integrity of data, while also uncovering patterns that drive business decisions and turning validated data into clear, data-driven narratives.
You'll safeguard data quality across life sciences projects - profiling datasets, running structured tests, and documenting findings to an audit-ready standard - while also working with cross-functional teams to translate validated data into clear, evidence-based insights for technical and non-technical stakeholders alike.
Responsibilities
Profile and analyse large datasets - assessing data quality (nulls, cardinality, distributions, uniqueness) and identifying trends, anomalies, and opportunities for optimisation or improvement.
Design, execute, and document structured test plans for data pipelines and dashboards, including defect tracking and reproducible results.
Support data quality and governance initiatives by documenting data lineage, assumptions, methodologies, and incident write-ups with the traceability expected in a regulated environment.
Build ETL pipelines and data transformations using Python to prepare and process structured and unstructured data.
Perform exploratory data analysis (EDA) and statistical analysis using Python (pandas, NumPy, SciPy, scikit-learn).
Collaborate with Data Engineers and Business Stakeholders to understand analytical requirements and translate them into technical specifications.
Present findings and recommendations to technical and non-technical audiences with clarity and impact.
Maintain dashboards and reusable data models in Power BI to support self-service reporting where needed.
What We’re Looking For:
We’re committed to building a skilled and diverse engineering team. If you care deeply about writing clean code, delivering resilient systems,
📌 Data Analyst (Barcelona)
🏢 MIGx
📍 Barcelona