Analyst

About The Role

As a BPO MIS Analyst, you will be responsible for managing and analyzing data to ensure the effective operation of our Business Process Outsourcing (BPO) services. Your primary focus will be on developing, maintaining, and optimizing Management Information Systems (MIS) to support decision-making processes and enhance operational efficiency.

Key Responsibilities

Data Management: Collect, organize, and analyze large volumes of data from various sources to generate meaningful insights and reports.
MIS Development: Design, develop, and maintain MIS reports and dashboards to monitor key performance indicators (KPIs) and operational metrics.
Data Analysis: Perform in-depth analysis of operational data to identify trends, patterns, and areas for improvement.
Reporting: Generate and distribute daily, weekly, and monthly reports to relevant stakeholders, ensuring accuracy and timeliness.
Process Improvement: Collaborate with cross-functional teams to identify and implement process improvements based on data analysis findings.
Database Management: Manage and maintain databases, ensuring data integrity, security, and availability.
Support: Provide support to the operations team by addressing data-related queries and troubleshooting MIS-related issues.
Training: Train and support end-users on MIS tools and reporting systems.

Qualifications

Education: Bachelor’s degree in Computer Science, Information Technology, Business Administration, or a related field.
Experience:
Proven experience as an MIS Analyst or in a similar role, preferably within the BPO industry.
Experience with data analysis, reporting, and database management.
Technical Skills:
Proficiency in MS Office Suite (Excel, Access, PowerPoint) and data visualization tools (e.g., Tableau, Power BI).
Knowledge of SQL and database management systems.
Familiarity with data analytics tools and programming languages (e.g., Python, R) is a plus.
Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data sets.
Communication Skills: Excellent verbal and written communication skills, with the ability to present data insights clearly and concisely.
Attention to Detail: High level of accuracy and attention to detail in data analysis and reporting.
Organizational Skills: Strong organizational and time management skills, with the ability to manage multiple tasks and meet deadlines