Associate Consultant - Data Warehouse 483
On-sitePune, Maharashtra, India
Job Summary
Design and implement effective data architectures, translating business requirements into technical solutions for data warehouse and reporting projects. Evaluate and optimize ETL processes and database performance while managing project timelines, budgets, and scopes with minimal supervision. Lead project teams, conduct issue analysis, and synthesize findings to communicate recommendations to clients and internal stakeholders. Distill complex concepts into clear frameworks, manage risk, and serve as a key client contact for discussions. Support management initiatives by promoting employee engagement, recruiting, training, and providing mentorship. Manage multiple projects simultaneously while ensuring effective communication among team members and stakeholders in an international matrix environment.
Required Qualifications
- Engineering/Master's Degree from a Tier-I/Tier-II institution/university in Computer Science or relevant concentration, with evidence of strong academic performance.
- 2-4 years of relevant consulting-industry experience
- Deep understanding of data management best practices, data modeling and data analytics
- Familiarity with data visualization and business intelligence tools like Tableau and PowerBI, including their integration with ETL outputs
- Strong understanding of U.S. pharmaceutical datasets and their applications
- Logical thinking and problem-solving skills along with an ability to collaborate.
- Proficiency in Microsoft Office products & data analysis tools (e.g., SQL, Python, R)
- Strong project management and people management skills.
- Excellent verbal and written communication skills, with the ability to convey complex information clearly to diverse audiences
- Strong organizational abilities and effective time management skills
- Ability to thrive in an international matrix environment and willingness to support US clients during US working hours with 3-4 hours of overlap.
- Awareness of latest technologies related (but not limited to) to cloud platform services, visualization, data management
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