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Tier-1 employer, common data analyst profile in Bangalore, mid-level skillset drives high competition.
Data skills transferable, but pharma governance and HCP commercial knowledge increase industry specificity.
Mandatory Databricks/PySpark/AWS skills and regulated pharma data governance raise strict technical and domain filters.
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Own operational and technical support for US data management ensuring stable, trusted data flows and data quality.
Troubleshoot data processing issues and perform data validation, reconciliation, and ad-hoc analyses with actionable business insights.
Define user stories and acceptance criteria; drive user-centric data product design and champion engineering standards within Agile delivery.
Bachelor's degree in quantitative field such as Engineering, Economics, Statistics, Computer Science, or related discipline.
Experience working in business support or operational data management environment.
Technical expertise in Databricks, PySpark, AWS suite (S3, Redshift, Lambda, Glue, EMR), and proficient coding in Python.
Proven experience in Agile development methodologies and knowledge of data governance and privacy standards.
Experienced in bridging business needs with technical solutions and defining detailed requirements for data products.
Strong strategic and critical thinking skills with ability to engage and build credibility with Commercial Leadership.
Comfortable working in complex cloud environments (preferably AWS) and maintaining high engineering standards in a fast-paced, cross-functional team.