Lead Assistant Manager

Operational Excellence – Data and Research Analyst

Job Description

Summary

The OE data analyst is responsible for collecting, organizing, and analyzing data from various sources to support the operational excellence lead in improving the efficiency and effectiveness of the organization's processes and performance. This person will collaborate with different teams and stakeholders to identify data needs, design data collection methods, and produce data-driven insights and recommendations.

Responsibilities

• 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.

Qualifications

• 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.

Measures of Success

• 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.

How This Role Supports the Operational Excellence Lead

This role supports the Operational Excellence Lead and the team by providing data-driven insights and recommendations that help the lead identify and prioritize opportunities for improvement, design and implement solutions, and monitor and evaluate results. This role also supports the lead by collaborating with different teams and stakeholders to understand their data needs and challenges, and provide data-driven solutions and recommendations. By doing so, this role helps the lead foster a culture of data-driven decision making and continuous improvement across the organization.