Responsible for collecting and analyzing multilingual conversational data focusing on diplomatic terminology for AI models development. Ensuring linguistic accuracy and terminology consistency.
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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Analyst managing agricultural data projects and analytics standards. Leading project execution, dashboard design, and mentoring junior analysts.
Senior Data Analyst leading and executing complex data analysis projects for Xylem, a global water solutions company, with a focus on data - driven decision - making and collaboration.
Sr. Data Analyst in Financial Analytics at Sunrun connecting finance and data engineering. Responsibilities include investor reporting, report refactoring, and metrics creation.
Mobile Product Data Analyst responsible for creating dashboards and reports for mobile product teams. Analyzing data to improve outcomes and automating data distribution for stakeholders.
Analyzing productivity and sales metrics for Transamerica's marketing group. Providing insights and recommendations to optimize business performance based on data analysis.
Data Analyst III at Snap Finance leads complex analyses to drive business insights and decision - making. Focuses on data integrity and collaboration across departments for strategic outcomes.
SEO Analyst developing and executing SEO strategies to drive business goals at Highmark Health. Collaborating across teams to optimize digital content and reporting site performance.
Master Data Analyst managing HR master data for ANDRITZ's global HR team. Ensuring accuracy and governance of HR data across systems while collaborating with international teams.
Estágio em Análise de Dados em Vendas contribuindo na criação de dashboards e manipulação de dados. Apoio às atividades do time de suporte comercial e eficiência nas atividades da área.