Data Analyst – Inventory & Logistics

The Data Analyst – Inventory & Logistics is responsible for analyzing inventory, supply chain data to support efficient operations and informed decision-making. This role focuses on tracking key metrics, identifying trends, improving processes, and ensuring data accuracy across inventory systems.

Key Responsibilities:

• Data Analysis & Reporting:

Analyze inventory and logistics data to generate actionable insights and support decision-making. Prepare dashboards and reports for management.

• Inventory Analytics:

Monitor and analyze inventory metrics such as turnover rates, stock levels, safety stock, and Days of Inventory Outstanding (DIO) to optimize inventory performance.

• Cost Analysis:

Evaluate inventory-related costs including carrying costs, ordering costs, and stockout impact to identify cost-saving opportunities.

• Supplier Performance Analysis:

Track and analyze supplier metrics such as delivery accuracy, lead time, defect rate, and availability to support vendor performance improvement.

• Process Efficiency Analysis:

Analyze operational workflows and performance data to identify inefficiencies and recommend process improvements.

• Data Validation & Accuracy:

Ensure accuracy and consistency of inventory data by performing regular validations and supporting audit processes.

• Cross-Functional Coordination:

Work closely with warehouse, procurement, and operations teams to gather data and ensure alignment on reporting and insights.

• Dashboard Development:

Develop and maintain dashboards (Excel/BI tools) for real-time monitoring of inventory and logistics performance.

Qualifications:

• Education: Bachelor’s degree in Data Analytics, Supply Chain, Logistics, or a related field.
• Experience: 2–3 years of experience in data analysis, preferably within supply chain, logistics, or inventory management.
• Technical Skills: Strong proficiency in Excel (advanced formulas, pivot tables), and familiarity with data visualization tools (Power BI, Tableau, or similar).
• Analytical Skills: Strong ability to interpret data, identify trends, and provide actionable insights.
• Attention to Detail: High level of accuracy in data handling and reporting.
• Communication Skills: Ability to present insights clearly to both technical and non-technical stakeholders.
• Organizational Skills: Ability to manage multiple datasets and priorities effectively.

Job Type: Full-time

Application Question(s):

• This is a strictly on-site position with shift timings from 6 PM to 3 AM PKT. Are you comfortable with this.

Experience:

• Data Analyst : 2 years (Required)

Work Location: In person