
Executive Leader
1 week ago
As a Senior Manager, you will be responsible for leading cross-functional teams to drive business decisions through data-driven insights.
Data Analysis & Business Strategy
- Work closely with stakeholders to identify opportunities for leveraging data to optimize business outcomes.
- Analyze large datasets from company databases to inform business strategies and support optimization initiatives.
- Evaluate the effectiveness and accuracy of data sources and collection methods.
- Develop custom data models and algorithms to provide actionable insights.
- Use predictive modeling to influence key business outcomes.
Model Development & Implementation
- Design, deploy, and track structured programs or operational processes based on developed models/algorithms.
- Collaborate with teams to implement models and monitor performance outcomes.
- Develop tools and processes to ensure ongoing data accuracy and model performance.
Business Impact
- Provide recommendations to business stakeholders based on model outputs.
- Drive implementation of recommendations through process changes, technology enhancements, or data management practices.
- Focus areas: Primary – PSCM/VMI business; Secondary – ICS KPIs.
- Deliver measurable improvements in time or cost efficiencies post-implementation.
- Track and report user satisfaction scores for delivered models and tools.
Quality, Safety, and Continuous Improvement
- Demonstrate commitment to Quality, Health, Safety, and Environment (QHSE) standards.
- Apply safety and quality management systems.
- Promote a culture of continuous improvement, setting an example in achieving and exceeding goals.
Requirements
- Bachelor's degree in Applied Sciences with coursework in statistics (minimum 2 years).
- Minimum 8 years of relevant industry experience.
- Relevant internship or certifications in data science/machine learning preferred.
Preferred Skills
- Strong problem-solving skills with a business mindset.
- Proficient in R or Python for data analysis and modeling.
- SQL, VBA, and DAX (Power BI) for querying and data manipulation.
- Understanding of data architecture principles.
- Practical knowledge of machine learning techniques.
- Advanced understanding of statistical methods.
- Excellent communication skills for working across teams.
Soft Skills and Key Competencies
- Strong analytical mindset with attention to detail.
- Negotiation and influencing skills.
- Flexible and adaptable attitude.
- Ability to work independently and as part of cross-functional teams.
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