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Supply Chain Data Analyst at Toronto, Canada or Dallas, TX

3 months ago


Toronto, Ontario, Canada Tredence Inc. Full time
Position: Supply Chain Data Analyst

Location: Toronto, Canada or Dallas, TX

Department: Supply Chain Practice



Role Overview:
  • We are in search of a talented Supply Chain Data Analyst with at least three years of experience in data mining, evaluation, and visualization.
  • The perfect candidate will have excellent technical and analytical abilities to transform intricate data into valuable insights.
  • Proficiency in SQL and Python is a must, along with eagerness to learn other analytics tools. Basic understanding of supply chain functions is also required.


Key Responsibilities:
  • Conduct data mining, evaluation, and visualization to aid supply chain decision-making.
  • Create and manage queries, reports, and presentations to effectively communicate findings.
  • Utilize SQL and Python for data analysis and insights related to supply chain operations.
  • Collaborate with different teams to grasp data needs and provide solutions.
  • Offer data-driven insights for Sales & Operations Planning (S&OP) and Sales & Operations Execution (S&OE) processes.
  • Maintain data quality and integrity in the ETL process and adhere to data warehousing standards.
  • Stay informed about industry trends, especially in integrated business planning (IBP) solutions, with a preference for O9 tools.

Qualifications:
  • Bachelor's degree in Supply Chain Management, Computer Science, Statistics, Mathematics, Data Science, or related field.
  • Minimum of three years experience as a data analyst, focusing on data mining, evaluation, and visualization.
  • Strong technical writing skills for queries, reports, and presentations.
  • Proficiency in SQL and Python, with the ability to adapt to other analytics tools.
  • Basic understanding of supply chain functions, Sales & Operations Planning (S&OP), and Sales & Operations Execution (S&OE).
  • Familiarity with IBP tools like O9 is advantageous.
  • Knowledge of data warehousing concepts, ETL processes, and data quality management.

Desired Skills:
  • Great problem-solving and analytical skills.
  • Effective communication and presentation capabilities.
  • Ability to work autonomously and as part of a team.
  • Detail-oriented with a keen eye for accuracy and quality.
  • Proactive, self-motivated, and committed to continuous learning.