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Senior Systems Analyst – Data (Winnipeg, MB or Toronto, ON)

The Data Analyst is responsible for building data models to organize important data for different teams across the business, and for monitoring and handling data. With large quantities of data comes an endless possibility for mistakes, thus we require a Data Analyst to constantly be on the lookout for information that needs cleansing and updating. In addition to gathering, analyzing, and cleansing information; the Data Analyst creates reports for teams and individuals across the organization and therefore need to be skilled at translating analytics into non-technical insights to help all teams make well-informed decisions.


  • Interpret data, analyze results using statistical techniques, and provide ongoing reports.
  • Acquire data from primary or secondary data sources and maintain databases/data systems.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Filter and cleanse data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
  • Working alongside teams within the business or the management team to establish business needs.
  • Locate and define new process improvement opportunities.
  • Defining new data collection and analysis processes.


  • Proven working experience as a data analyst or systems analyst.
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques.
  • Strong knowledge of, and experience with reporting packages (Business Objects, etc.), and databases (SQL, etc.).
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, R, Python, etc.).
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing, and presenting findings.
  • Strong verbal and written communication skills.
  • An analytical mindset and data driven inclination to problem-solving.
  • A degree in Mathematics, Economics, Computer Science, Information Management or Statistics or equivalent education coupled with experience
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