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:

·
Strong
Business Analyst experience in complex financial environments

·
High-level
knowledge of tax, finance, investments, treasury, revenue, and strategic
finance

·
Experience
working in both Agile and Waterfall environments

·
Excellent
data and analytical skills

·
Exceptional
communication and executive presence

·
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 (eg technology 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, pain
  points, improvement opportunities, risks, and operational needs into clear
  business, functional, non-functional, data, reporting, integration,
  enhancement, and support requirements.
• 
  Develop and maintain
  high-quality analysis artifacts, including As-Is and To-Be process flows,
  user journeys, business rules, decision matrices, source-to-target
  mappings, data definitions, enhancement backlogs, acceptance criteria, and
  traceability documentation.
• 
  Use AI-enabled productivity and
  analysis tools responsibly to accelerate documentation, synthesize
  stakeholder input, identify patterns or gaps, support backlog refinement,
  and improve requirements quality while validating outputs with human
  judgment.
• 
  Assess opportunities for
  automation, analytics, and AI-enabled capabilities by helping define
  business value, feasibility, risks, controls, success measures, and
  adoption considerations.
• 
  Support technology reviews,
  vendor evaluations, solution comparisons, application assessments, RFI/RFP
  activities, evaluation scorecards, and recommendation packages.
• 
  Perform detailed data analysis
  to validate business assumptions, assess data quality, identify trends or
  anomalies, support reporting and integration needs, and confirm that
  solution outputs align with business expectations.
• 
  Partner with architects,
  developers, data engineers, security, risk, and operations teams to
  clarify requirements, resolve design questions, define dependencies, and
  ensure solutions are scalable, secure, compliant, and maintainable.
• 
  Support Agile, Waterfall,
  hybrid, and operational delivery models by contributing to backlog
  management, sprint readiness, enhancement intake, prioritization,
  acceptance criteria, change impact analysis, release readiness, and
  value-based decision-making.
• 
  Ensure end-to-end requirements
  traceability across scope, design, development, testing, deployment,
  training, and post-implementation value realization.
• 
  Lead UAT planning and execution
  support, 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
  and
  tailor messaging for executives, project teams, vendors, and end users.

REQUIRED QUALIFICATIONS

• 
  Bachelor’s degree in
  Information Systems, Business, Data Analytics, Computer Science, or a
  related field; equivalent practical experience may be considered.
• 
  8+ years of experience as a
  Business Analyst, IT Business Analyst, Product Analyst, Data Analyst, or
  similar role supporting IT projects, enhancements, application changes, or
  operational technology initiatives.
• 
  Demonstrated ability to lead
  requirements discovery/elicitation, stakeholder facilitation, process
  analysis, data analysis, solution definition, impact analysis, and
  cross-functional alignment for complex business and technology needs.
• 
  Strong experience developing
  business, functional, non-functional, data, reporting, integration, and
  acceptance requirements.
• 
  Strong data analysis skills,
  including the ability to profile data, identify trends or anomalies,
  validate outputs, define business rules, and support source-to-target
  mapping.
• 
  Experience working with
  enterprise 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-enabled
  tools and concepts, including responsible use of generative AI, automation
  opportunities, data quality considerations, model/output validation, and
  business value assessment.
• 
  Proven ability to communicate
  clearly with executive stakeholders, business users, vendors, architects,
  developers, testers, and operational teams.
• 
  Strong critical thinking,
  problem framing, facilitation, documentation, prioritization, and
  decision-support skills.
• 
  Emotional intelligence and
  interpersonal skills, with the ability to build trust, read stakeholder
  dynamics, navigate ambiguity, manage conflict constructively, influence
  without authority, and communicate with empathy, professionalism, and
  confidence.
• 
  Ability to be open and flexible
  while upholding standards.

PREFERRED QUALIFICATIONS

• 
  Experience with enterprise
  platforms or business applications in Finance and/or Investments space.
• 
  Familiarity with product
  management practices, including outcome definition, prioritization,
  roadmap support, customer/user journey mapping, and value realization.
• 
  Relevant certifications such as
  CBAP, CCBA, PMI-PBA, CSPO, CSM, SAFe, Agile, data analytics, cloud, or
  AI-related certifications.

SUCCESS PROFILE

• 
  Balances traditional business
  analysis discipline with practical data analysis, application knowledge,
  enhancement delivery, and value-oriented thinking.
• 
  Uses AI and analytics to
  improve efficiency, but applies sound judgment to validate facts, clarify
  ambiguity, identify risks, and protect business integrity.
• 
  Creates clear, decision-ready
  artifacts that help stakeholders understand scope, trade-offs,
  dependencies, value, and implementation impacts.
• 
  Builds trust across business,
  technology, vendor, and application support teams by translating
  complexity into actionable direction, measurable outcomes, and practical
  improvements.
• 
  Demonstrates strong soft skills
  by actively listening, adapting communication style, fostering
  collaboration, and helping teams move through uncertainty with clarity,
  respect, and a solutions-oriented