Manager, Advanced Analytics & Data Science (Individual Contributor)

*For Pooling Purposes*

What You'll Do

Advanced Analytics & Business Insights

• Perform deep-dive analyses to uncover trends, patterns, opportunities, and risks across business operations.
• Develop descriptive, diagnostic, and predictive analytics solutions to support strategic decision-making.
• Translate complex business questions into actionable analytical frameworks and recommendations.
• Deliver executive-level insights through compelling storytelling, visualizations, and presentations.
Data Science & Machine Learning

• Design, build, and deploy predictive models, including forecasting, classification, clustering, and recommendation models.
• Apply statistical methods to identify business drivers and improve performance outcomes.
• Evaluate model effectiveness and continuously refine solutions to maximize accuracy and business value.
• Leverage Python, SQL, and modern analytics tools to support scalable data science initiatives.
AI, Text Analytics & Automation

• Analyze unstructured data sources such as customer interactions, transcripts, feedback, and operational documentation.
• Utilize Natural Language Processing (NLP) and AI-based methodologies to identify sentiment, themes, behaviors, and emerging trends.
• Support the development of intelligent analytics solutions that enhance operational performance and customer experience.
Business Consulting & Stakeholder Management

• Partner directly with business leaders to define requirements, align priorities, and identify opportunities for data-driven improvements.
• Serve as a trusted advisor, helping stakeholders convert insights into measurable business actions.
• Lead analytical discussions and effectively communicate technical concepts to non-technical audiences.
• Manage multiple strategic initiatives while maintaining high-quality delivery standards.
Modern Data Platforms & Reporting

• Work with large-scale data environments, cloud-based analytics platforms, and enterprise reporting solutions.
• Support analytics modernization efforts by translating legacy reporting logic into scalable data solutions.
• Collaborate with data engineering teams to ensure data quality, governance, and accessibility.

Function: Management
Experience Level: Mid-Senior Level