Data Analyst

Tasks

Under general supervision, the Data Analyst processes and interprets data to provide actionable insights that drive decision-making and optimize supply chain operations.

• Organize data from multiple supply chain sources, including inventory management, order fulfillment, and logistics.
• Use data visualization tools such as Power BI to improve dashboards.
• Ensure data quality by identifying and addressing inconsistencies, errors, and gaps.
• Provide data-driven insights and recommend process improvements.
• Create and present reports on supply chain KPIs, including efficiency, cost savings, inventory management, and on-time delivery.
• Develop dashboards and visualizations for stakeholders.
• Provide actionable recommendations to senior management based on data trends and analyses.
• Evaluate supply chain strategies and suggest adjustments or optimizations.
• Participate in implementing new technologies and systems.
• Collaborate with the Global Service & Parts Hub on KPI and process alignment.
• Follow all safety rules, procedures, regulations, standards, and laws.

Qualifications

Bachelor’s degree in Supply Chain or Operations Management, Business Administration, or a related area, or an equivalent combination of education and experience.

Relevant experience may include information systems, end-user support, system design and development, database design, development and administration, or project management.

• Entry level: co-op or internship experience and/or up to 2 years of relevant professional experience.
• Experienced level: at least 3 years of relevant professional experience.
• Senior level: at least 5 years of relevant professional experience.
• Ability to create custom queries and reports based on business needs.
• Knowledge of relational databases and best practices.
• Strong research, analytical, troubleshooting, communication, and organizational skills.
• Preferred: 2+ years of data analysis experience, preferably in supply chain or logistics.
• Preferred: proficiency with Excel, SQL, Python, R, Power BI, or Tableau.

Benefits

Benefits include health benefits, company retirement, annual profit sharing, possible mobility offers, coaching, flextime, employee events and discounts, possible mobile phone and parking, canteen and café access, and near-site childcare.