Business Reporting and Analytics Staff Developer
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Responsibilities
- 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 DegreeStrong communication, organization and prioritization skillsStrong problem‑solving skills and ability to think analyticallyAbility to work collaboratively in a team environment and manage multiple projects simultaneouslyDemonstrated strength in MS Office applicationsExperience with data visualization tools (e.g., Power BI)Familiarity with Agile and Scrum methodologiesDevelopment experience with Python, SQL DatabasesPreferred Qualifications
University degree in Data Management and / or Industrial EngineeringKnowledge of statistical analysis, machine learning techniques and Operations ResearchSeniority Level
Entry levelEmployment Type
Full‑timeJob Function
OtherIndustries
Information Services and IT Services and IT Consulting#J-18808-Ljbffr