Job title: Administrative Assistant/Data Entry Clerk Part Time

Company: Dr. Martens

Job description: Summary:

The Data Analyst will be responsible for analyzing and interpreting large datasets to provide valuable insights and recommendations to the business. They will work closely with cross-functional teams to gather and analyze data, develop reports, and provide customized solutions to help the organization gain a competitive edge.

Sessional Instructor - Department of Applied Human Sciences - Faculty of Science


  • Analyze large data sets using advanced statistical techniques and tools to uncover trends, opportunities, and insights.
  • Develop, maintain and analyze performance metrics and reports that support data-driven decision-making processes.
  • Collaborate with stakeholders to identify business questions and translate them into data and analysis requirements.
  • Develop models and algorithms to help optimize business processes and drive efficiencies.
  • Design and execute A/B tests and experiments to identify opportunities for optimization.
  • Identify data quality issues and help to develop solutions to improve data integrity, accuracy, and completeness.
  • Manage data collection, cleansing, and manipulation processes to ensure data is readily accessible and easy to work with.
  • Prepare and present data-driven reports and insights to stakeholders, highlighting key findings and recommendations.


  • 1+ years of relevant experience in data analysis, preferably in the Internet and New Media industry.
  • Proven experience in analyzing large and complex datasets using SQL, R, Python, or related tools.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
  • Experience with data visualization tools such as Tableau, Power BI, or related tools.
  • Knowledge of statistical modeling, hypothesis testing, and A/B testing methodologies.
  • Familiarity with data management and ETL processes.

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Location: The Pas, MB

Job date: Mon, 06 Nov 2023 23:45:35 GMT