Project Scheduling & Data Analytics Coordinator

Overview

We are seeking a detail-oriented and analytical professional to plan, coordinate, and manage project schedules across multiple initiatives. This role ensures the timely execution of tasks while maintaining compliance with organizational policies, priorities, and standards. The ideal candidate combines strong scheduling capability with data analysis skills to support effective decision-making and operational efficiency.

Key Responsibilities

• Develop and maintain project schedules to support successful and timely delivery of key objectives.

• Gather, analyze, and interpret data to produce accurate status reports and performance metrics.

• Ensure work assignments, timelines, and deliverables align with organizational policies and strategic priorities.

• Leverage data analytics tools to identify trends, risks, anomalies, and opportunities for process improvement.

• Collaborate with cross-functional teams to resolve scheduling conflicts and optimize resource allocation.

• Provide data-driven insights and recommendations to leadership to support informed decision-making.

Qualifications

• Bachelor's degree in Business, Project Management, Data Analytics, or a related field.

• 0–2 years of experience in project scheduling, planning, data analytics, or related discipline.

• Strong understanding of data analytics concepts and proficiency with tools such as Excel, Power BI, or similar platforms.

• Familiarity with project management principles, practices, and methodologies.

• Excellent organizational skills with the ability to manage multiple priorities simultaneously.

• Creative problem-solving skills and adaptability in a dynamic, fast-paced environment.

Additional Information

• Reports to Senior Manager or Director.

• Requires a high degree of autonomy, judgment, and creativity to achieve results.

Prescreening Questions (Include Q&A at Top of Resume)

1. Can you share an example of when you identified anomalies or inconsistencies in a large dataset? How did you detect them, and what steps did you take to resolve the issue?

2. What analytics or visualization tools have you used to analyze and present data? Which one do you prefer and why?

3. Describe a time when you had to rebuild or adjust a project schedule due to unexpected changes or system issues. How did you prioritize tasks and communicate updates?