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.
Job Title: Senior Business Data Analyst Location: Irving TX USADepartment: 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 ...
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.
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