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Business Analyst (onsite)

Plantation, FL
14604 - Business Analyst (onsite) – Plantation, FL

Start Date: ASAP
Type: Temporary Project
Estimated Duration: 12+ months with possible extensions
Work Setting: 100% of the time at the Client's site. No telecommuting or remote work. This is a non-negotiable requirement from the client.
Only candidates able to relocate as required should apply to avoid removal from future consideration.

Our Client is hiring a Business Analyst (Business Validation & Data Product Delivery)
Required:
  • 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.

Preferred:
  • Experience with enterprise data platforms or analytics products;
  • Experience with Agile delivery methodologies;
  • Experience with data product lifecycle or operational support models.

Responsibilities include but are not limited to the following:
  • 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.

Please see below some more positions you may be interested in:
Business Analyst (Data Governance & AI Enablement)
Required:
  • Availability to work 100% of the time at the Client's site in Plantation, FL (required);
  • 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.

Preferred:
  • 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 include but are not limited to the following:
  • 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.

Why apply?
  • Gain experience with one of the world’s largest solar and wind energy providers, which last year briefly became the most valued U.S. energy company;
  • 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.

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