
Job description :
Role & responsibilities :
- Strong 10 - 12 years of experience in building business intelligence solutions is a must
- Strong 6-8 years of experience in business analysis and data interpretation is a must
- Experience working with data warehousing technologies (AWS, Azure, GCP) and handling large datasets is required
- Strong knowledge of SQL, Python, and data modeling is essential
- Good understanding of statistics, pattern recognition, and deriving actionable insights
- Experience with data visualization tools such as Tableau, Amazon QuickSight is required
- Excellent communication and presentation skills, with the ability to translate data into business insights
Preferred candidate profile :
- Develop, integrate, and maintain backend data architectures and staging environments
- Build and automate reports, dashboards, and self-service analytics tools
- Design and develop AI/ML-driven solutions to improve efficiency, reduce errors, and uncover insights
- Gather and analyze data, and present clear, actionable findings to stakeholders
- Work on complex business problems and deliver data-driven recommendations
- Perform scenario analysis and performance modelling
- Solve challenging data and architectural problems using cutting-edge technologies
- Collaborate cross-functionally with business and technical teams
Role Expectations :
- This is a highly technical, hands-on role requiring deep expertise in data engineering, analytics, and architecture
- We are looking for self-starters who take end-to-end ownership and can operate with minimal supervision
- The interview process includes a live coding assessment to evaluate real-time problem-solving and coding capabilities
- This is an in-office role; candidates should be willing to work from office on a regular basis
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