Manager, Data Science and Analytics
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Job Description
Data analytics manager leading enterprise operations and customer-solution initiatives through data science and advanced analytics. Overseeing teams, models, dashboards, reporting, and strategic recommendations.
Responsibilities:
- Lead and manage analytics teams supporting operational, supply chain, customer-facing, and enterprise technology initiatives
- Develop and execute data science and analytics strategies aligned with business objectives and corporate priorities
- Oversee the design, development, and implementation of dashboards, reporting solutions, predictive models, and operational analytics tools
- Manage analytics projects from initiation through delivery, including project planning, prioritization, resource allocation, and stakeholder communication
- Partner with Customer Experience, Product, Operations, Sales, and Technology teams to identify data-driven opportunities and support strategic initiatives
- Analyze operational, logistics, transportation, website, API, and customer experience data to identify trends, risks, and opportunities for improvement
- Support digital platform performance monitoring and operational reporting related to customer-facing technologies and integrations
- Ensure data accuracy, reporting consistency, and compliance with enterprise data governance standards
- Provide leadership, mentorship, and coaching to analytics team members and cross-functional partners
- Research emerging industry trends, analytics technologies, and best practices to drive innovation and continuous improvement
- Develop executive-level reporting and presentations to communicate insights, recommendations, and business impacts
- Collaborate with customer-facing teams to support consulting initiatives and deliver data-driven business solutions
Requirements:
- Bachelor’s Degree or international equivalent required
- Bachelor’s Degree in Data Science, Analytics, Computer Science, Engineering, Operations Research, Supply Chain, Business Analytics, or a related field preferred
- Experience managing analytics, business intelligence, or data science teams
- Strong experience with data visualization, reporting tools, and database analysis
- Experience supporting customer-facing technologies, APIs, or digital platforms preferred
- Strong project management, communication, and stakeholder management skills
- Experience using analytical and visualization tools such as SQL, Power BI, Tableau, GIS/ESRI, or similar platforms preferred
- Experience in consulting, operational strategy, or enterprise technology environments preferred
- Willingness to travel as needed
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