Title: Senior IT Business/Data Analyst
Location: Deerfield Beach FL (Hybrid - 3 Days a week onsite)
Duration: 6+ Months Contract
Needs an exceptionally strong Business Analyst to support the creation of a digital tax hub focused on discretionary investments.
The ideal candidate should have:
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Strong Business Analyst experience in complex financial environments
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High-level knowledge of tax, finance, investments, treasury, revenue, and strategic finance
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Experience working in both Agile and Waterfall environments
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Excellent data and analytical skills
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Exceptional communication and executive presence
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Confidence working directly with business leaders, executives, and potentially C-suite stakeholders
This role requires someone who can understand complex business needs, translate them into clear requirements, and communicate effectively across both technical and nontechnical teams.
JOB SUMMARY
The
Senior IT Business/Data Analyst Contractor serves as a bridge between business stakeholders, technology teams, data teams, vendors, and enterprise partners. This role supports a broad portfolio of work that includes projects,discretionary value-add initiatives (egtechnology reviews, process improvements, reporting needs, integrations, operational readiness activities and existing application support. The position is expected to combine strong business analysis discipline with practical data analysis skills to clarify needs, evaluate options, define requirements, assess impacts, support decision-making, and ensure technology solutions deliver measurable business value.
KEY RESPONSIBILITIES
- Lead structured discovery,requirements elicitation, and alignment discussions with business,technical, vendor, application support, and leadership stakeholders.
- Translate business goals, painpoints, improvement opportunities, risks, and operational needs into clearbusiness, functional, non-functional, data, reporting, integration,enhancement, and support requirements.
- Develop and maintainhigh-quality analysis artifacts, including As-Is and To-Be process flows,user journeys, business rules, decision matrices, source-to-targetmappings, data definitions, enhancement backlogs, acceptance criteria, andtraceability documentation.
- Use AI-enabled productivity andanalysis tools responsibly to accelerate documentation, synthesizestakeholder input, identify patterns or gaps, support backlog refinement,and improve requirements quality while validating outputs with humanjudgment.
- Assess opportunities forautomation, analytics, and AI-enabled capabilities by helping definebusiness value, feasibility, risks, controls, success measures, andadoption considerations.
- Support technology reviews,vendor evaluations, solution comparisons, application assessments, RFI/RFPactivities, evaluation scorecards, and recommendation packages.
- Perform detailed data analysisto validate business assumptions, assess data quality, identify trends oranomalies, support reporting and integration needs, and confirm thatsolution outputs align with business expectations.
- Partner with architects,developers, data engineers, security, risk, and operations teams toclarify requirements, resolve design questions, define dependencies, andensure solutions are scalable, secure, compliant, and maintainable.
- Support Agile, Waterfall,hybrid, and operational delivery models by contributing to backlogmanagement, sprint readiness, enhancement intake, prioritization,acceptance criteria, change impact analysis, release readiness, andvalue-based decision-making.
- Ensure end-to-end requirementstraceability across scope, design, development, testing, deployment,training, and post-implementation value realization.
- Lead UAT planning and executionsupport, including test scenario development, stakeholder coordination,defect triage, issue resolution, and sign-off readiness.
- Communicate complex technical,data, and process topics in clear business terms andtailor messaging for executives, project teams, vendors, and end users.
REQUIRED QUALIFICATIONS
- Bachelor's degree inInformation Systems, Business, Data Analytics, Computer Science, or arelated field; equivalent practical experience may be considered.
- 8+ years of experience as aBusiness Analyst, IT Business Analyst, Product Analyst, Data Analyst, orsimilar role supporting IT projects, enhancements, application changes, oroperational technology initiatives.
- Demonstrated ability to leadrequirements discovery/elicitation, stakeholder facilitation, processanalysis, data analysis, solution definition, impact analysis, andcross-functional alignment for complex business and technology needs.
- Strong experience developingbusiness, functional, non-functional, data, reporting, integration, andacceptance requirements.
- Strong data analysis skills,including the ability to profile data, identify trends or anomalies,validate outputs, define business rules, and support source-to-targetmapping.
- Experience working withenterprise systems, APIs, integrations, data flows, reporting platforms,or migration efforts.
- Working knowledge of Agile,Waterfall, and hybrid delivery models, including backlog management,sprint readiness, UAT, and release support.
- Familiarity with AI-enabledtools and concepts, including responsible use of generative AI, automationopportunities, data quality considerations, model/output validation, andbusiness value assessment.
- Proven ability to communicateclearly with executive stakeholders, business users, vendors, architects,developers, testers, and operational teams.
- Strong critical thinking,problem framing, facilitation, documentation, prioritization, anddecision-support skills.
- Emotional intelligence andinterpersonal skills, with the ability to build trust, read stakeholderdynamics, navigate ambiguity, manage conflict constructively, influencewithout authority, and communicate with empathy, professionalism, andconfidence.
- Ability to be open and flexiblewhile upholding standards.
PREFERRED QUALIFICATIONS
- Experience with enterpriseplatforms or business applications in Finance and/or Investments space.
- Familiarity with productmanagement practices, including outcome definition, prioritization,roadmap support, customer/user journey mapping, and value realization.
- Relevant certifications such asCBAP, CCBA, PMI-PBA, CSPO, CSM, SAFe, Agile, data analytics, cloud, orAI-related certifications.
SUCCESS PROFILE
- Balances traditional businessanalysis discipline with practical data analysis, application knowledge,enhancement delivery, and value-oriented thinking.
- Uses AI and analytics toimprove efficiency, but applies sound judgment to validate facts, clarifyambiguity, identify risks, and protect business integrity.
- Creates clear, decision-readyartifacts that help stakeholders understand scope, trade-offs,dependencies, value, and implementation impacts.
- Builds trust across business,technology, vendor, and application support teams by translatingcomplexity into actionable direction, measurable outcomes, and practicalimprovements.
- Demonstrates strong soft skillsby actively listening, adapting communication style, fosteringcollaboration, and helping teams move through uncertainty with clarity,respect, and a solutions-oriented