Business Reporting and Analytics Staff Developer

2 weeks ago

London ON NV Z, Canada General Dynamics Land Systems Full time

Description

Key Job Elements:

  • 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

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