Data Analyst

The Data Analyst supports Operations across both Manufacturing and Logistics by transforming data into meaningful insights that drive informed decision-making. This role requires strong analytical capabilities, proficiency in statistical modeling, and expertise in business intelligence tools to help optimize operational performance.

Key Responsibilities

• Gathering business data and reporting requirements from stakeholders, business owners, and users from the Manufacturing domain for metrics used to monitor business performance.
• Analyze complex data sets to identify patterns, trends, and insights for all operational teams.
• Develop and maintain robust dashboards, reports, and visualizations to communicate findings to stakeholders at all levels.
• Report findings and recommendations to leadership, translating complex analyses into clear, actionable insights.
• Collaborate with various departments to define key performance indicators (KPIs) and metrics to automate reporting tools & techniques.
• Ensure data integrity and accuracy by implementing best practices in data management and governance.

Skills

• Strong analytical and problem-solving skills, with the ability to interpret complex data and identify actionable insights.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Experience in the Automotive Industry (OEM or Tier 1 Suppliers) is preferred.
• Advanced skills in Python or other general-purpose programming language, Microsoft Office advanced user.

Minimum Qualifications

• Bachelor’s degree in engineering, Supply Chain, Finance, Data Science, or equivalent experience in a related field.
• 3-5+ years of experience in data analytics, reporting, visualization, Python, etc.

Preferred Qualifications

• Advanced degree in a relevant field.
• Experience with complex analysis and data analytics in a Manufacturing context.
• Knowledge of automotive industry trends and emerging technologies in Interior components.

Work Conditions

• Flexibility in the work schedule is required (to include evenings and weekends, as needed).

Location
King Abdullah Economic City