Coordinator, Business Analysis (T)

Job Overview

Reporting to the WFM Manager – Business Analytics, the WFM Analyst will be responsible for providing support to the Bell Technical Solutions management team to work with a wide variety of stakeholders in order to deliver accurate and timely information, develop resources to evaluate process and behaviours of unionized and non-unionized employees.

Key Responsibilities

• Deep Data Exploration & Statistical Analysis: Conduct in-depth statistical analysis on large datasets to identify trends, patterns, and anomalies related to losses and load volume.
• Machine Learning Model Development: Design, develop, and implement machine learning models (e.g., predictive models, classification, anomaly detection) to forecast, explain, or mitigate losses and load volume fluctuations.
• Feature Engineering & Data Preparation: Extract, transform, and engineer relevant features from raw data sources to optimize model performance. Ensure data quality and integrity for ML workflows using Python.
• Trend and Behaviour Identification: Proactively identify and flag significant trends and behaviours within the data that impact losses and load volume, providing actionable insights derived from statistical modelling and ML.
• Model Evaluation & Optimization: Rigorously evaluate model performance using appropriate metrics, iterate on model design, and optimize for accuracy, efficiency, and interpretability within the project scope.
• Business Impact Analysis & Communication: Quantify and communicate the business impact of identified key drivers (e.g., overtime, idle time, loan processing, service provisioning timelines) through comprehensive analysis and clear presentations.
• Influence & Adoption Strategy: Champion the adoption of recommended optimal models and data-driven strategies by influencing business stakeholders and presenting compelling evidence for change.
• Technical Documentation: Document ML models, algorithms, data pipelines, analysis methodologies, and key findings comprehensively.
• Insight Communication: Translate complex analytical and ML findings into clear, concise, and actionable insights for technical and non-technical audiences.
• Cross-functional Alignment: Collaborate with relevant teams (e.g., Quebec/Ontario counterparts) to ensure alignment on data-driven strategies and share insights related to losses and load volume.

Critical Qualifications

• Proven experience in statistical analysis, machine learning, and predictive modelling.
• Strong programming skills in Python, with extensive experience using libraries such as Pandas, NumPy, Scikit-learn, and ML frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in SQL for complex data extraction, manipulation, and analysis.
• Experience with data visualization techniques and libraries in Python (e.g., Matplotlib, Seaborn) or tools like Tableau/Power BI for communicating ML insights.
• Demonstrated ability to perform deep data dives, identify key drivers of business outcomes (losses, load volume), and formulate data-driven recommendations using statistical methods.
• Solid understanding of data relationships, business rules, and workflows relevant to operational analytics and ML applications.
• Excellent problem-solving and analytical skills, with a keen ability to identify patterns and correlations in large datasets.
• Ability to manage multiple project tasks, meet deadlines, and deliver accurate results in a fast-paced, evolving environment.
• Strong interpersonal and communication skills, with the ability to collaborate effectively with technical and business teams and influence decision-making.
• Degree, diploma, or certification in Computer Science, Statistics, Data Science, Mathematics, Engineering, or a related quantitative field.
• Maintaining professional relationships with French & English speaking stakeholders across Canada is critical to this position.

Additional Information

• Position Type: Professional (P2), Non-Management 
• Job Status: Temporary, Full-Time (May 4th to August 28th)
• Possible Work Location: Boucherville, Anjou or Sainte-Thérèse, QC 
• Flexible Work Profile: Remote
• Application Deadline: 03-03-2026

What's in it for You ?

• Excellent benefits and competitive compensation.
• Access to numerous discounts and the purchase of company shares.
• Leaders who support your development through coaching and opportunity management.
• A dynamic, collaborative and creative team.
• Development opportunities through training and educational assistance programs.
• Opportunities to progressively assume greater responsibility.