Supply Chain Optimization Manager

Gestal; Mirabel; On-site; CAD 65,000 - 90,000; Full time

Job summary

Gestal is seeking a Data Analyst to collect, analyze and interpret large data sets to support strategic decisions and performance improvements.

The role involves designing dashboards, applying statistical methods, and communicating insights to stakeholders across teams, while ensuring data quality and confidentiality. You will collaborate with multidisciplinary teams to promote a data-driven culture at Gestal.

Qualifications

• University degree in statistics, mathematics, CS, or related field.
• Experience with data collection, cleaning, processing, and interpretation.
• Solid knowledge of probabilities, hypothesis testing, Monte Carlo simulations, confidence intervals.
• Proficiency in data analysis, reporting and visualization tools.
• Strong communication and collaboration skills to present results to diverse audiences.

Responsibilities

• Collect, clean, structure and analyze data from multiple sources.
• Apply statistical methods to identify trends and improvement opportunities.
• Design dashboards and reports to present results to stakeholders.
• Prepare analyses and recommendations to support decisions.
• Use data analysis and visualization tools effectively.
• Collaborate with teams to understand needs and propose tailored solutions.
• Support a data-driven decision-making culture.
• Ensure data quality, confidentiality and security.
• Share best practices and contribute to method improvements.

Skills

Data analysis

Data collection

Data cleaning

Data interpretation

Statistical methods

Communication

Collaboration

Autonomy

Education

University degree in statistics / mathematics / CS

Tools

Data visualization tools

Analytics software

Job description

We are looking for a Data Analyst responsible for collecting, analyzing and interpreting large volumes of data to support strategic decision-making and improve company performance.

Main responsibilities:

• Collect, clean, structure and analyze data from various internal and external sources.
• Apply statistical and analytical methods to identify trends, gaps and improvement opportunities.
• Design dashboards, charts and reports to clearly present results to stakeholders.
• Prepare analyses and recommendations to support operational and strategic decisions.
• Use and maintain data analysis and visualization tools and technologies.
• Collaborate with various teams to understand their needs and propose tailored solutions.
• Support teams in adopting a data-driven decision-making culture.
• Ensure data quality, confidentiality and security, in accordance with internal and regulatory requirements.
• Share best practices and contribute to the continuous improvement of analysis methods.

Requirements

• Education: University degree in statistics, mathematics, computer science, data analysis or related field.
• Data Analysis: Good command of data collection, cleaning, processing and interpretation techniques.
• Statistics: Solid knowledge of probabilities, hypothesis testing, Monte Carlo simulations, confidence intervals and statistical methods.
• Computer Tools: Proficiency in data analysis, reporting and visualization tools.
• Analytical Skills: Ability to interpret complex data, identify trends and formulate relevant recommendations.
• Communication: Ability to present results clearly and accessibly to different audiences.
• Collaboration: Ability to work with multidisciplinary teams and support users in their analytical needs.
• Personal Qualities: Rigor, critical thinking, autonomy, organizational skills, integrity and respect for confidentiality.