(USA) Senior Manager, Data Analytics

Position Summary...

Join Our Dynamic Team as a Business Partnerships and Data Science Expert and Leader!

Are you a passionate and driven professional ready to make a significant impact in the world of business partnerships and data science? Look no further! We are seeking an enthusiastic individual to join our team and drive strategic initiatives that will shape the future of our organization.

What you'll do...

What you'll do!

Business Partnerships

• Advise Senior Leadership: Provide scientific insights and recommend solutions to complex challenges.
• Identify Key Areas: Focus on critical business areas and create process flow maps to achieve goals.
• Executive Presentations: Prepare first drafts to communicate strategic recommendations based on data analysis.
• Feedback Insights: Review findings and provide tailored insights based on audience feedback.
• Reduce Manual Interventions: Collaborate with partners to identify and minimize manual processes.
• Cost Reduction: Identify cost-saving opportunities and drive programs to realize these savings.

People Development

• Coach Team Members: Mentor team on strategic initiatives and provide pathways to achieve business goals.
• Performance Reviews: Conduct timely reviews with actionable insights and support career development.

Data Collection and Analysis

• Optimization Techniques: Expert in MILP, LP, and simulation techniques in operations research.
• Data Science Applications: Hands-on implementation across the network with proven results.
• Data Integration and Visualization: Utilize SQL, Python, and Tableau to analyze and visualize data.
• Monitor Data: Develop processes for monitoring and flagging data outliers.
• Exploratory Analysis: Conduct analysis and inform the team of findings.

Model Development

• Algorithmic Products: Build and manage parts of models to ensure alignment with product goals.
• Verification and Simulation: Use tools to verify findings and run simulations.
• Technical Problem Solving: Formulate solutions for data-related challenges.
• Algorithm Implementation: Develop and implement data analysis and modeling algorithms.

Proof of Concept and Testing

• Lead Pilot Programs: Understand gaps and provide solutions for network-wide implementations.
• Stakeholder Collaboration: Partner with business, software engineering, data science, and operation teams.
• Innovative Ideas: Generate and apply new ideas, contributing to project proof-of-concepts.

Data Quality Management

• Data Quality Efforts: Plan and lead initiatives to ensure data quality and integrity.
• Governance Policies: Develop and implement data governance procedures.
• Quality Metrics: Monitor and address data quality issues proactively.

Technical Skillsets

• Python/R
• SQL
• GCP
• Tableau
• Excel

Why Join Us?

Respect the Individual

• Inclusive Environment: Embrace diversity and create a culture of belonging.
• Talent Development: Focus on developing talent through feedback, coachin