Mars

Data Analytics, Automation Development Intern

Mars

internship

Posted on:

Location Type: Hybrid

Location: Edmonton • Canada

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Job Level

Entry Level

Tech Stack

AzureNumpyPandasPythonSQL

About the role

  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonSQLExceldata analyticsdata visualizationdata managementworkflow automationstatisticsdata transformationdata interrogation
Soft Skills
collaborationcommunicationpresentationanalytical thinkingproblem-solving