Strategic Analytics & Data Science Lead

Sutherland Global; Taguig; Hybrid; PHP 2.000.000 - 4.000.000; Vollzeit

Zusammenfassung

Sutherland is seeking a highly analytical, business-minded Manager, Advanced Analytics & Data Science to join our growing Analytics organization. This senior individual contributor role leads by influence, turning complex data into strategic insights and business impact.

You will partner with senior leaders to build predictive models, NLP, and AI-driven solutions using Python, SQL, Databricks, and modern analytics tools, driving revenue, efficiency, and customer experiences.

Qualifikationen

• Bachelor's degree in a quantitative field.
• 4+ years in Data Science or Advanced Analytics.
• Strong SQL and Python for analysis and modeling.
• Experience with descriptive, diagnostic, and predictive analytics.
• Experience communicating with business stakeholders.

Aufgaben

• 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 storytelling, visualizations, and presentations.
• Collaborate with stakeholders to define requirements and drive data-driven improvements.

Kenntnisse

SQL

Python

Git

Data visualization

Stakeholder communication

Ausbildung

Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Economics, or a related quantitative discipline

Tools

Databricks

Spark SQL

PySpark

Jobbeschreibung

Sutherland is seeking a highly analytical, business-minded Manager, Advanced Analytics & Data Science to join our growing Analytics organization. This senior individual contributor role leads by influence, turning complex data into strategic insights and business impact.

You will partner with senior leaders to build predictive models, NLP, and AI-driven solutions using Python, SQL, Databricks, and modern analytics tools, driving revenue, efficiency, and customer experiences.