Data Analyst

• Provide technical input on data platforms / consumption engines and emerging technologies to enhance analytics and derived datasets
• Design, build and support data pipelines to acquire, aggregate, refine and securely move data from source to target
• Develop and maintain data assets to enable enterprise querying and analytics.
• Manage datasets to support feature engineering, APIs and ingestion processes
• Build, publish and maintain reusable data assets for real-time and analytical consumption
• Design, implement and document data architecture and data models (conceptual / logical / physical)
• Implement data integration using ETL and other data tools across databases, systems and platforms – preferably hands on GCP experience
• Set up data quality checks, monitoring and alerting for analytics data flows
• Collaborate with data wranglers, data scientists and technical / development teams

Deliver

No.

Performance Parameter

Measure

• 1.
• Demand generation
• Order booking
• 2.
• Revenue generation through delivery
• Timeliness, customer success stories, customer use cases
• 3.
• Capability Building & Team Management
• % trained on new skills, Team attrition %

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