Senior Business Data Analyst
Job Description
Job Title: Senior Business Data Analyst
Location: Irving, TX, USA
Department: Data & Analytics / Cloud Transformation
Job Type: W2
About the Role:
We are seeking a Senior Business Data Analyst with strong expertise in cloud-based data transformation and a proven ability to build and manage stakeholder relationships across business and technology teams. The ideal candidate will play a key role in driving the migration of on-premise legacy and mainframe systems to Google Cloud Platform (GCP) while ensuring alignment between business objectives, data strategy, and technical implementation.
This role requires a strategic thinker with a blend of analytical acumen, communication excellence, and hands-on experience in multi-cloud data ecosystems.
Key Responsibilities:
- Serve as the primary liaison between business units, data engineering, and cloud architecture teams.
- Partner with senior stakeholders to understand business goals, data needs, and transformation priorities.
- Translate business requirements into technical specifications and actionable data initiatives.
- Facilitate regular cross-functional meetings, updates, and governance reviews.
- Support and guide the migration of legacy on-prem/mainframe data systems to GCP, ensuring business continuity and data integrity.
- Collaborate with engineering teams to design and validate data pipelines, mappings, and quality frameworks.
- Assist in defining and documenting data lineage, metadata, and governance standards across multiple cloud platforms (GCP, AWS, Azure)
- Perform data-driven analysis to uncover opportunities for process improvement and business value creation.
- Develop business cases, impact assessments, and value realization tracking for cloud transformation projects.
- Ensure all analytical outputs and data solutions align with enterprise data strategy and compliance requirements.
- Work closely with project managers, data architects, and business sponsors to ensure timely delivery of milestones.
- Contribute to continuous improvement of business data processes and analytics maturity.
Required Qualifications:
- 8-10+ years of experience as a Business/Data Analyst, with at least 3+ years in cloud or data transformation projects.
- Proven track record of managing large-scale data migrations from on-prem legacy/mainframe environments to GCP.
- Strong understanding of GCP data services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.) and exposure to multi-cloud ecosystems (AWS, Azure).
- Exceptional stakeholder management and communication skills, with experience influencing senior leaders.
- Strong analytical, problem-solving, and documentation skills.
- Proficiency in SQL, data modeling, and understanding of ETL/ELT workflows.
- Ability to work in agile, fast-paced environments with distributed teams.
Preferred Qualifications:
- Experience with data governance, metadata management, and data quality frameworks.
- Familiarity with modern data architectures (e.g., Data Lakehouse, Data Mesh).
- Exposure to change management and business process re-engineering during technology transformation programs.
- Professional certifications such as Google Cloud Data Analyst, Certified Business Analysis Professional (CBAP), or Agile BA are a plus.
Skills:
Agile Programming Methodologies, Amazon Web Services (AWS), Analysis Skills, Business Analysis, Business Case, Business Process Management, Business impact analysis (BIA), Change Management, Cloud Architecture, Cloud Computing, Cloud Storage, Communication Skills, Continuous Improvement, Cross-Functional, Data Analysis, Data Management, Data Migration, Data Modeling, Data Quality, Database Extract Transform and Load (ETL), Documentation, Ecosystems, GCP (Good Clinical Practices), Mainframe Computer, Metadata, Microsoft Windows Azure, Multiplatform/Cross-Platform, Problem Solving Skills, Process Engineering, Process Improvement, Regulatory Compliance, Relationship Management, Requirements Management, SQL (Structured Query Language), Software Engineering, Technical Strategy, Time Management.