Responsibilities/ Duties
• Data Analysis and Insights: Analyze large, complex data sets to extract meaningful insights and inform
business decisions. Create clear visualizations and communicate findings effectively to stakeholders.
• Tool Proficiency: Expertise in using AWS QuickSight and/or PowerBI for data visualization and analysis.
Capable of creating custom dashboards and reports that are both informative and user-friendly.
• Advanced Analytics: Apply advanced analytics techniques, including predictive modeling and machine
learning, to forecast trends and behaviors.
• Recommendation Systems: Design and implement recommendation systems to optimize logistics
operations and improve user experience in our SaaS products.
• Cross-functional Collaboration: Work closely with engineering, product, and business teams to integrate
analytics insights into product development and business strategy.
• Data-Driven Culture: Foster a culture of data-driven decision making within the organization. Train and
mentor junior analysts and other team members in data analytics best practices.
• Continuous Learning: Stay updated with the latest trends and technologies in data analytics and
LogisticTech. Proactively explore new tools and techniques to enhance analytical capabilities.
Criteria for the Role!
• Bachelor’s or master’s degree in data science, Statistics, Computer Science, or related field.
• Minimum of 3 years of experience in data analytics, with a focus on advanced analytics, prediction, and
recommendation systems.
• Proven expertise in AWS Quick Sight, Power BI, or similar BI tools.
• Strong background in statistical modeling, machine learning, and data mining.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong communication and interpersonal skills, with the ability to translate complex data into actionable
insights.
Competency
• Good Communication skills.
• Excellent at clear and concise written and verbal communication.
• Experience in LogisticTech or a related industry is a plus.
• Familiarity with big data technologies and cloud platforms, especially AWS services.
• Knowledge of programming languages such as Python or R.
