Lead Assistant Manager

• Collect and validate data from various sources and teams to gather industry best practices, functional teams within EXL (training, recruitment, operations, MIS, etc.)
• Organize and maintain data in a consistent and accessible format, using tools such as Excel, SQL, Power BI, or Tableau.
• Analyze data based on collected date and required outcomes.
• Create and present data visualizations, dashboards, and reports that communicate key findings and trends to the operational excellence lead and other stakeholders.
• Collaborate with cross-functional leads and stakeholders to understand their data needs, challenges, and goals, and provide data-driven solutions and recommendations.
• Monitor and evaluate the impact and effectiveness of data-driven initiatives and projects, and provide feedback and suggestions for improvement.

• Bachelor's degree in data science, statistics, operations research, business analytics, or related field.
• At least two years of experience in data collection, analysis, and reporting, preferably in an operations or business context.
• Proficient in data analysis tools and software, such as Excel, SQL, Power BI, Tableau, R, or Python.
• Strong analytical and problem-solving skills, with the ability to interpret and communicate complex data in a clear and concise manner.
• Excellent collaboration and communication skills, with the ability to work effectively with diverse teams and stakeholders.
• Highly organized and detail-oriented, with the ability to manage multiple tasks and projects within deadlines.

• The quality, accuracy, and timeliness of data collection, analysis, and reporting.
• The relevance, clarity, and impact of data-driven insights and recommendations.
• The level of satisfaction and engagement of the Operational Excellence Lead and other stakeholders with the data products and services.
• The contribution of data-driven initiatives and projects to the improvement of the organization's processes and performance.

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