Description

Key Responsibilities:

Assist in gathering, analyzing, and interpreting business and operational data to support decision-making and process improvement initiatives.

Support development, testing, and maintenance of reports, dashboards, data models, and analytical solutions.

Participate in data validation, quality checks, data preparation, and documentation activities.

Contribute to AI, automation, and digital transformation initiatives under supervision.

Assist in identifying opportunities to improve business processes through analytics, automation, and technology solutions.

Collaborate with cross-functional teams to support data, reporting, and enterprise technology projects.

Maintain project documentation, process flows, technical specifications, and operational procedures.

Required Qualifications:

Bachelors or Masters degree in Information Systems, Computer Science, Data Science, Engineering, Business Analytics, Mathematics, Statistics, MIS, or related disciplines is required.

Strong analytical, problem-solving, and communication skills.

Interest in Data Analytics, Artificial Intelligence, Machine Learning, Business Intelligence, Automation, or Digital Transformation.

Relevant internship, academic project, technical training, or related experience is preferred.

Exposure to SQL, Python, Power BI, Tableau, Excel, databases, cloud platforms, AI tools, analytics platforms, or automation technologies is a plus

Key Skills

Education

Bachelor's or Master's degrees