Data PM / Business Analyst

Purple Drive

Overview:

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

Apply

Vacancy posted 1 day ago

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