3869814-Lead Assistant Manager

EXL; Dadri; On-site; INR 600,000 - 1,000,000; Full time

Job summary

EXL is seeking an Operational Excellence – Data and Research Analyst to collect, organize, and analyze data from diverse sources to improve process efficiency. You will collaborate with teams to identify data needs, design collection methods, and deliver data-driven insights and recommendations.

Responsibilities include validating data, creating visualizations, and presenting findings to the operational excellence lead and stakeholders.

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 clearly.
• Excellent collaboration and communication skills, with the ability to work with diverse teams and stakeholders.
• Highly organized and detail-oriented, with the ability to manage multiple tasks and projects within deadlines.

Responsibilities

• Collect and validate data from various sources and teams to gather industry best practices and insights.
• Organize and maintain data in a consistent format using Excel, SQL, Power BI, or Tableau.
• Analyze data based on required outcomes and present findings to stakeholders.
• Create and present data visualizations, dashboards, and reports communicating key trends.
• Collaborate with cross-functional leads to understand data needs and provide data-driven solutions.
• Monitor and evaluate impact of data-driven initiatives and suggest improvements.

Skills

Analytical thinking

Communication skills

Collaboration

Detail-oriented

Time management

Education

Bachelor's degree in data science, statistics, operations research, business analytics, or related field

Tools

Excel

SQL

Power BI

Tableau

R

Python

Job description

Operational Excellence – Data and Research AnalystJob DescriptionSummary

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

By doing so, this role helps the lead foster a culture of data-driven decision making and continuous improvement across the organization.