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Mid-level Pune role with modest brand and niche pharma focus creates moderate applicant competition.
Core data warehousing skills are transferable, but required U.S. pharmaceutical dataset expertise raises industry sensitivity.
Explicit 2-4 years plus mandatory data warehouse, pharma dataset, and tool proficiencies increases strictness.
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Design and implement data warehouse architectures and optimize ETL processes to improve system efficiency.
Translate business requirements into technical solutions and lead project teams for data warehouse and reporting projects.
Manage project timelines, client communications, and serve as key contact for project discussions on data warehousing implementations.
Engineering or Master’s degree in Computer Science or relevant field from a Tier-I or Tier-II institution with strong academic performance.
2-4 years of relevant consulting industry experience in data warehousing or related fields.
Strong knowledge of U.S. pharmaceutical datasets and their application in analytics.
Ability to support US clients during US working hours with 3-4 hours of overlap in an international matrix environment.
Experienced in translating complex business needs into technical data solutions within consulting projects involving data warehousing.
Skilled in project and people management, capable of leading teams and client interactions independently.
Proficient with BI tools (Tableau, PowerBI), ETL optimization, and programming/data analysis tools (SQL, Python, R) to drive data-driven decision making.