About the company
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.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
Requirements
- 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 systems.