Description

• Data Analytics & Reporting: Strong experience in data analysis, visualization, dashboard creation, and generating business insights.
• SQL & Data Handling: Hands-on expertise in SQL, data extraction, transformation, and analysis from large datasets.
• Programming Skills: Proficiency in Python/R for data analysis, automation, and statistical modeling.
• Data Visualization Tools: Experience with tools such as Power BI/Tableau/Qlik for reporting and dashboards.
• Cloud Exposure: Working knowledge of cloud platforms such as AWS/Azure/GCP and cloud-based data solutions.
• AI/ML Integration: Understanding of AI/ML concepts and ability to apply them for predictive analytics, automation, and intelligent insights.
• Data Engineering Concepts: Familiarity with ETL processes, data pipelines, and data management practices.
• Stakeholder Management: Ability to communicate insights effectively and collaborate with business and technology teams.

Preferred Experience:

• Experience in building automated reporting solutions and analytics frameworks.
• Exposure to machine learning models, GenAI tools, or intelligent automation use cases.
• Strong problem-solving skills with a data-driven mindset

Key Skills

Education

Bachelor's degree