Edgistify - Manager - Control Tower - Supply Chain Analytics (4-6 yrs)

Job Description - Manager, Control Tower.

Location: Head Office, Edgistify.

Experience: 4+ years in analytics, control tower, or operations monitoring.

Skills Required: Python, Power BI, Excel, Data Analytics, Dashboarding, Reporting.

About the Role: The Manager - Control Tower will be responsible for real-time monitoring, analytics, and reporting of Edgistify's supply chain and warehouse operations.

This role requires strong data-handling capabilities, technical expertise in Python, Power BI, and Excel, and the ability to develop insightful dashboards to optimize operational efficiency.

Key Responsibilities:.

- Real-Time Monitoring & Data Analysis.

- Set up and manage a control tower framework to monitor live warehouse and logistics operations.

- Develop and maintain dashboards for real-time tracking of key performance indicators (KPIs).

- Identify bottlenecks and inefficiencies in warehouse and transportation operations using data analytics.

- Reporting & Business Insights.

- Generate daily, weekly, and monthly reports on warehouse operations, inventory movement, and order fulfillment.

- Automate data extraction and reporting using Python and Power BI.

- Perform deep-dive analysis on operational trends, delays, and cost optimization opportunities.

- Data Automation & Process Improvement.

- Develop automated reporting solutions using Python scripts and Excel macros.

- Enhance operational efficiency by implementing predictive analytics models.

- Collaborate with cross-functional teams to improve data accuracy and visibility across operations.

- Stakeholder Communication & Coordination.

- Act as a single point of contact for internal teams regarding real-time operational data.

- Present actionable insights to senior management for data-driven decision-making.

- Work closely with operations, warehouse, and client teams to optimize processes.

Key Skills & Qualifications:.

- Technical Proficiency Python (for automation & analytics), Power BI (for visualization), and Excel (advanced).

- Data Handling Experience in large-scale data analysis, SQL, and database management is a plus.

- Problem-Solving Ability to interpret complex data, identify trends, and suggest optimizations.

- Communication Strong reporting and presentation skills to convey data insights effectively.

- Industry Knowledge Understanding of warehousing, supply chain, and logistics operations is preferred.