Description

Responsibilities:

• Analyze large scale BPO operational datasets to discover trends, anomalies and performance patterns that improve decision making for diverse business functions
• Design data models that optimize storage, retrieval and processing efficiency for complex BPO workflows while maintaining high standards of data quality and consistency
• Develop robust machine learning solutions that predict volume, effort and risk indicators to support capacity planning and service level optimization across business processes
• Build interactive Tableau dashboards that provide intuitive visual stories for operational leaders and business partners enabling rapid assessment of performance and outcomes
• Create insightful Power BI reports that combine multiple data sources into unified analytical views supporting continuous improvement initiatives and executive reporting needs
• Implement Python based data pipelines that automate extraction transformation and loading activities to ensure timely and accurate availability of curated datasets for analytics
• Validate data accuracy through systematic checks reconciliation routines and exception handling to maintain trust in analytical outputs and business reporting
• Collaborate with cross functional stakeholders to translate business questions into analytical problems and deliver measurable outcomes through data driven solutions
• Document analytical approaches data dictionaries and workflow standards to support reuse maintainability and onboarding of new team members across projects
• Optimize query performance and reporting refresh schedules to minimize latency and ensure consistent access to up to date metrics in a hybrid work environment
• Drive adoption of self service analytics tools by creating guided views reference content and training sessions that empower stakeholders to explore data safely and effectively
• Align analytical solutions with organizational governance policies ensuring compliant handling of sensitive data and adherence to internal quality standards
• Contribute to innovation initiatives by exploring new analytical techniques and tools that enhance predictive capabilities and operational resilience in BPO data management

Requirements:

• Possess a strong background in machine learning including experience with feature engineering model evaluation and deployment in production oriented environments
• Demonstrate advanced proficiency in Python for data manipulation statistical analysis automation scripting and integration with visualization platforms
• Show expert level capability in Tableau to design scalable dashboards calculate custom metrics and apply best practices for visual storytelling in business contexts
• Exhibit solid experience with Power BI including data modeling creation of measures optimization of refresh cycles and management of workspaces for business users
• Hold deep understanding of data management concepts such as data governance master data management data lineage and metadata documentation in large organizations
• Bring prior experience in BPO or operations analytics where exposure to service metrics productivity indicators and quality measures has been substantial
• Display strong communication skills in explaining complex analytical findings in clear concise language that is understandable to nontechnical stakeholders
• Offer proven experience in hybrid work models using collaboration tools to coordinate analysis code reviews and requirement discussions across geographically distributed teams
• Years of Experience:   12.00 Years of Experience

Key Skills

Education

Any Graduate