*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.
Required Qualifications:
- 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 Qualifications:
- 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.
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.