Business Analyst (onsite)

Vitaver & Associates • Plantation, FL

1d • Onsite

About The Position

Our Client is hiring a Business Analyst (Business Validation & Data Product Delivery). This role requires availability to work 100% of the time at the Client's site in Plantation, FL. The position involves defining and executing validation strategies across data products, working with business process flows and system integrations, and ensuring data quality. The role also includes defining post-go-live validation and monitoring approaches and supporting data product lifecycle and support models. Additionally, there is a second Business Analyst role focused on Data Governance & AI Enablement, also requiring 100% onsite presence in Plantation, FL. This role supports the design and implementation of data governance frameworks, policies, and standards, defines data ownership and stewardship models, and identifies AI/automation opportunities.

Requirements

• Availability to work 100% of the time at the Client's site in Plantation, FL (required)
• Experience with business analysis, business validation, UAT, or end-to-end testing (5+ years)
• Experience with defining and executing validation strategies across data products
• Experience with business process flows and system integrations
• Experience with data validation and data quality concepts
• Experience with business analysis, including data, analytics, or governance initiatives (4+ years)
• Experience with data governance concepts including ownership, lineage, stewardship, and controls
• Experience with data quality analysis and issue resolution

Nice To Haves

• Experience with enterprise data platforms or analytics products
• Experience with Agile delivery methodologies
• Experience with data product lifecycle or operational support models
• Experience with data governance frameworks or tools (e.g., Collibra, Alation, DAMA)
• Experience with AI/ML concepts and use case evaluation
• Experience with operating model design or organizational change initiatives

Responsibilities

• Define and implement a business validation strategy across data products, including UAT, end-to-end process validation, and data validation
• Develop and execute end-to-end validation scenarios across systems and business workflows
• Lead defect identification, triage, and resolution with business and technical teams
• Validate data accuracy and consistency across upstream and downstream systems
• Partner with data teams to identify and resolve data quality issues impacting business outcomes
• Work closely with business stakeholders to ensure solutions are fit-for-purpose and usable
• Define post-go-live validation and monitoring approaches and support data product lifecycle and support models
• Support the design and implementation of data governance frameworks, policies, and standards
• Define data ownership, stewardship, and accountability models in partnership with business and technology teams
• Define and document data quality rules, metrics, and monitoring approaches, and support remediation strategies
• Identify and evaluate AI/automation opportunities within business processes, assessing feasibility, risks, and data readiness
• Partner with stakeholders to prioritize practical, high-value AI use cases
• Contribute to the creation of a data governance office structure and develop governance workflows and decision frameworks
• Embed data quality practices into delivery and operations in collaboration with cross-functional teams

Benefits

• Gain experience with one of the world’s largest solar and wind energy providers
• Work with a great team of professionals and learn newest technologies and approaches
• Enjoy our Client’s wonderful campus with top-notch facilities for work and recreation
• Benefit from multiple projects extensions
• Receive support and advice from Vitaver consultants who are already working at our Client’s site
• Get extra cash by participating in Vitaver Successful Completion Bonus Program
• Always get paid in full and on time

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed