Business Reporting and Analytics Staff Developer

Job Description

Job Description

• Design and develop advanced analytical and optimization tools to support enterprise planning initiatives and decision making, including:


• Capacity Modelling and forecasting for production and resource allocation


• Resource planning to optimize workforce, materials, and scheduling


• Linear Programming and Network Optimization to drive cost efficiency and throughput


• Queueing Theory and Simulation Modelling to improve system flow, reduce bottlenecks, and increase performance predictability


• Build and automate dynamic reporting solutions, leveraging data visualization and modeling tools (e.g., Power BI, Excel, Python-based analytics) to enhance business transparency and efficiency.


• Collaborate with cross-functional teams to understand analytical needs, define project objectives, and deliver solutions that directly support business goals.


• Lead or participate in special projects focused on process improvement, cost reduction, and performance optimization, from concept through implementation.


• Champion continuous improvement initiatives by identifying automation opportunities, streamlining workflows, and introducing innovative analytics techniques to elevate business performance.


• Support and maintain departmental tools, utilities, and databases to ensure integrity, accuracy, and long-term scalability of analytics systems.


• Diagnose and resolve technical issues in analytical tools and reporting systems, ensuring seamless operation and reliability across platforms.


• Provide thought leadership and mentorship to peers by sharing best practices, analytical methodologies, and technical expertise to strengthen overall team capability.

Required Qualifications

• Undergraduate Degree


• Strong communication, organization and prioritization skills


• Strong problem-solving skills and ability to think analytically


• Ability to work collaboratively in a team environment and manage multiple projects simultaneously


• Demonstrated strength in MS Office applications


• Experience with data visualization tools (e.g. Power BI)


• Familiarity with Agile and Scrum methodologies


• Development experience with Python, SQL Databases

Preferred Qualifications

• University degree in Data Management and/or Industrial Engineering


• Knowledge of statistical analysis, machine learning techniques and Operations Research