Data PM Business Analyst

The Data PM / Business Analyst will gather analyze and translate complex business and data requirements into scalable SQLdriven data solutions on Google Cloud Platform (GCP). This role works closely with business stakeholders analytics and engineering teams to deliver reliable reporting analytics and data pipelines while ensuring high data quality and strong documentation standards.

MustHave Technical & Functional Skills (JDAligned)

Business Analysis & Stakeholder Management

• 8-10 years of experience as a Business Analyst Data Analyst or Data Project Manager
• Strong experience gathering analyzing and documenting business and data requirements
• Proven ability to obtain stakeholder commitment and manage expectations
• Work directly with stakeholders to understand reporting and analytics needs
• Translate functional requirements into technical data specifications
• Excellent written and verbal communication skills

Data & SQL Expertise

• Advanced SQL expertise for:
  • Complex data transformations
  • Data validation and reconciliation
  • Analytical reporting
• Strong experience designing SQLbased data solutions
• Perform data analysis to ensure accuracy completeness and consistency
• Create and manage test data assets
• Support SIT/UAT validation

Google Cloud Platform (GCP)

• Strong handson experience with Google Cloud Platform (GCP) services including:
  • BigQuery (mandatory)
  • Dataform (preferred)
  • Cloud Composer
  • Cloud Dataflow
• Design and support ETL/ELT workflows using GCP services
• Collaborate with engineering teams to ensure data reliability and scalability

Data Modeling & Architecture

• Moderate to advanced experience in data modeling
• Preferred experience with Medallion Data Architecture (Bronze / Silver / Gold layers)
• Experience defining and implementing data quality rules
• Strong understanding of data quality strategies and governance

Documentation & Collaboration

• Provide clear and detailed:
  • Business requirement documents (BRDs)
  • Functional requirement documents (FRDs)
  • Data dictionaries
  • Technical design artifacts
• Collaborate with:
  • Engineering teams
  • Analytics teams
  • Business stakeholders
• Ensure endtoend data traceability and reliability

Roles & Responsibilities (ClientFacing)

• Gather and document business functional and data requirements
• Translate requirements into SQLcentric technical solutions
• Design support and monitor GCPbased ETL pipelines
• Perform advanced SQL transformations and validation
• Define and implement data quality checks
• Support SIT/UAT testing using curated test data
• Ensure accuracy and consistency of enterprise datasets
• Act as a bridge between business and technical teams
• Maintain comprehensive documentation and data artifacts