Data PM / Business Analyst

The Data PM / Business Analyst will gather, analyze, and translate complex business and data requirements into scalable, SQL‑driven 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.

✅ Must‑Have Technical & Functional Skills (JD‑Aligned)

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 SQL‑based 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 hands‑on 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 end‑to‑end data traceability and reliability

✅ Roles & Responsibilities (Client‑Facing)

• Gather and document business, functional, and data requirements
• Translate requirements into SQL‑centric technical solutions
• Design, support, and monitor GCP‑based 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