Analyste de données principal modernisant les plateformes et pipelines de données d’EDC, société financière publique canadienne. Traduction des besoins opérationnels en modèles, règles de transformation et récits utilisateurs.
About the role
- Data Analytics & Automation Development Summer Student supporting data management and analytics at Champion Petfoods. Collaborating with RI and QFS teams on Python and SQL projects.
Responsibilities
- Support Research & Innovation (RI) initiatives by developing and maintaining Python‑based data analytics tools that enhance the efficiency, accuracy, and reproducibility of laboratory and product‑development workflows.
- Analyze operational, laboratory, and formulation datasets using Python to generate actionable insights that help RI teams make informed scientific and technical decisions.
- Develop and present clear, visually compelling data visualizations and reports to support Analytical Lab trends, formulation outcomes, product performance evaluations, and cross‑functional project reviews.
- Improve data integrity and operational efficiency by managing datasets, standardizing data processes, and building workflow automations that help streamline RI tasks and reporting requirements.
- Use SQL within Databricks to extract, interrogate, and validate corporate master data objects, supporting RI’s analytical modeling, experiment tracking, and formulation‑related data needs.
- Perform advanced Excel‑based analytics—including dataset transformation, scenario analysis, and structured reporting—to support RI and adjacent functions with rapid, flexible insights.
- Work collaboratively with IT (Data Architecture) and RI stakeholders—including Analytical Lab, Formulation, Product Development & Innovation, QFS, and QA—to align on data requirements, integrate new data capabilities, and support cross‑functional technical initiatives.
- Other responsibilities as assigned to support RI’s data analytics, reporting, process optimization, or scientific decision‑support needs.
Requirements
- Educational background: 3rd or 4th year in a related program (Computer Science, Data Science, Statistics, Applied Math, Engineering etc.)
- Strong Python skills (Jupyter/Spyder, Pandas, NumPy, Seaborn, Matplotlib).
- SQL experience
- Proficient with Microsoft Office.
- Nice to have: Azure Databricks experience
- Dashboarding tools (Power BI, Plotly)
- Basic statistics knowledge
Benefits
- Competitive Wages
- Strong commitment to ensure all people are provided with a safe, healthy and respectful environment.
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