Manager Advanced Analytics And Data Science Individual Contributor

Sutherland; Taguig; Presencial; PHP 1 800 000 - 2 800 000; Tempo integral

Resumo da oferta

Sutherland is seeking a highly analytical Manager, Advanced Analytics & Data Science to lead analytics initiatives that drive business impact. This leadership-level IC role focuses on forecasting, NLP, and data-driven decision support, partnering with senior leaders across the organization.

The role requires strong SQL, Python, and stakeholder management skills, with experience in building predictive models and delivering executive-level insights.

Qualificações

• Bachelor's degree in a quantitative field is required.
• At least 4 years of experience in Data Science or Advanced Analytics.
• Strong SQL and Python for data analysis and model development.
• Experience building predictive and statistical models (forecasting, regression, classification, segmentation).
• Solid data visualization and BI knowledge; able to translate business challenges to analytics solutions.
• Experience partnering with stakeholders and communicating technical concepts to non-technical audiences.

Responsabilidades

• Perform deep-dive analyses to uncover trends and risks across business operations.
• Develop descriptive, diagnostic, and predictive analytics to support strategic decisions.
• Translate business questions into analytical frameworks and actionable recommendations.
• Deliver executive insights through storytelling, visualizations, and presentations.
• Design, build, and deploy predictive models (forecasting, classification, clustering, recommendations).
• Collaborate with data engineering on data quality, governance, and scalable solutions.

Conhecimentos

Communication

Presentation

Problem-solving

Formação académica

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

Ferramentas

SQL

Python

Git

Descrição da oferta de emprego

Company Description

Shape Business Decisions Through Data

Sutherland is seeking a highly analytical, business-minded Manager, Advanced Analytics & Data Science to join our growing Analytics organization. This is a leadership-level individual contributor role designed for a data science professional who excels at transforming complex data into strategic insights, predictive solutions, and business impact.

In this role, you will work closely with senior stakeholders, leveraging modern analytics platforms, machine learning, statistical modeling, and AI-driven techniques to solve real-world business challenges. You'll have the opportunity to influence operational efficiency, customer experience, workforce optimization, and revenue-driving strategies through advanced data science and analytics.

If you're passionate about turning data into decisions and enjoy partnering directly with leaders to solve high-impact business problems, we'd love to connect with you.

Job Description

*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.

Qualifications

Required

• Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Economics, or a related quantitative discipline.
• At least 4 years of experience in Data Science, Advanced Analytics, Business Analytics, or a related field.
• Strong expertise in SQL and Python for data analysis and model development.
• Experience building predictive and statistical models, including forecasting, regression, classification, and segmentation.
• Solid understanding of data visualization and business intelligence concepts.
• Experience working directly with business stakeholders and translating business challenges into analytical solutions.
• Strong problem-solving, presentation, and communication skills.
• Experience using Git or similar version control tools.

Preferred

• Experience with cloud-based analytics platforms such as Databricks or similar technologies.
• Knowledge of Spark SQL, PySpark, or large-scale data processing frameworks.
• Experience in Natural Language Processing (NLP), text analytics, or AI-driven modeling.
• Familiarity with modern machine learning frameworks and model deployment practices.
• Exposure to optimization modeling, resource planning, workforce optimization, or operational analytics.
• Experience supporting high-volume customer-facing, sales, service, or operations environments.

Additional Information

Why Join Sutherland?

• Drive high-impact analytics initiatives that influence business strategy and operational excellence.
• Work with modern data technologies, advanced modeling techniques, and AI-powered solutions.
• Partner directly with senior leaders and decision-makers across the organization.
• Enjoy the autonomy and visibility of a leadership-level individual contributor role.
• Be part of a collaborative, innovation-focused environment where your insights create measurable business value.
• Contribute to large-scale analytics transformation programs and future-focused data strategies.

Ready to make data matter?

Join Sutherland and help shape smarter business decisions through advanced analytics, machine learning, and data-driven innovation.