Responsibilities

• Analyze logistics data to identify trends and opportunities for optimization.
• Collaborate with cross-functional teams to develop and implement data-driven strategies.
• Prepare reports and presentations for senior management to support decision-making processes.
• Utilize statistical methods to forecast logistics demands and capacity requirements.
• Monitor key performance indicators (KPIs) to assess operational efficiency and effectiveness.
• Assist in the development of data management systems and tools to enhance data accuracy.
• Provide insights on market trends and competitive analysis to inform business strategies.

Requirements

• Bachelor's degree in Statistics, Mathematics, Data Science, or a related field.
• Proven experience in data analysis, preferably within the logistics or supply chain sector.
• Strong proficiency in statistical software and data visualization tools (e.g., Excel, R, Python, Tableau).
• Excellent analytical and problem-solving skills, with the ability to interpret complex data sets.
• Strong communication skills, both verbal and written, to convey findings clearly.
• Ability to work independently and as part of a team in a fast-paced environment.
• Detail-oriented with a strong commitment to accuracy and data integrity.

Benefits

• Competitive salary with performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Retirement savings plan with company matching contributions.
• Opportunities for professional development and career advancement.
• Flexible working hours and remote work options available.
• Dynamic and supportive work environment focused on innovation.
• Employee wellness programs and team-building activities.