Merchandise Analytics Specialist

5 days ago


Mississauga, Canada Altis Technology Full time

Job Title: Merchandise Analytics Specialist


Job Description:

Merchandise Analytics Specialists lead projects and perform advanced analytics to deliver actionable insights to Senior Leadership, aiding strategic decisions within Merchandising. They collaborate with cross-functional teams to ensure data integrity and accuracy, utilizing their expertise to design and execute robust validation strategies. A high level of analytical ability, curiosity to explore and solve problems, and proficiency in quantitative, qualitative, exploratory, and predictive data analysis are essential.


Key Responsibilities:

  • Lead and support the delivery of analytics solutions by building model logic and ensuring output accuracy.
  • Inspect and analyze data to inform design; create data queries to support model development and maintenance.
  • Develop and implement comprehensive data validation processes and protocols using SQL, R, Python, and Excel.
  • Design and execute test scenarios to validate data transformation, migration, and integration processes.
  • Collaborate with software engineers, data architects, and stakeholders to define data requirements and ensure alignment with business objectives.
  • Create and present regular reports, including validation findings, issues, and recommended solutions.


Qualifications and Skills:

  • Bachelor's degree required; Master's degree preferred.
  • 5+ years of experience in roles such as analytics manager, business analyst, data analyst, or statistical analyst, with strong skills in analysis and data mining using SQL, R, Python, and Excel.
  • 4+ years of experience in extracting and processing data using BigQuery, SQL Server, or comparable database systems.
  • Direct experience in analyzing relevant subject matters (e.g., Merchandising, Supply Chain, Operations).
  • Excellent communication and interpersonal skills.
  • Demonstrated ability to work effectively with others.
  • Strong analytical skills with meticulous attention to detail; self-starter.



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