Senior IT Business/Data Analyst

Jobtailor

Deerfield Beach (FL)

On-site

USD 85,000 - 130,000

Full time

14 days+

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Job summary

Jobtailor seeks a senior Business Analyst to lead discovery, elicit requirements, and translate business needs into detailed functional, data, and integration requirements. You will drive traceability across design, development, testing, deployment, and value realization, collaborating with architects, developers, and stakeholders to deliver measurable outcomes.

Responsibilities include leading UAT, coordinating with executives and teams, and leveraging AI-enabled tools to enhance documentation

Qualifications

Bachelor’s degree or equivalent practical experience.
8+ years as a Business/IT/Data Analyst or similar role.
Experience supporting IT projects, enhancements, or operational tech initiatives.
Lead discovery, facilitation, analysis, solution definition, and cross-functional alignment.
Develop business, functional, non-functional, data, reporting, integration, and acceptance requirements.
Strong data analysis: profiling, trends, anomalies, and source-to-target mapping.
Experience with enterprise systems, APIs, data flows, reporting, or migrations.
Familiar with Agile, Waterfall, and hybrid delivery; backlog, UAT, release support.
Familiar with AI-enabled tools, responsible AI use, data quality, validation, and value assessment.
Ability to communicate with executives, users, vendors, architects, developers, testers, ops teams.
Strong critical thinking, problem framing, facilitation, documentation, prioritization, decision-support.
Emotional intelligence, interpersonal skills, adaptability with standards.
Preferred: experience with enterprise finance/investment platforms.
Preferred: familiarity with product management practices.
Preferred: CBAP/CCBA/PMI-PBA/CSPO/CSM/SAFe or AI/data analytics certs.

Responsibilities

Lead structured discovery and requirements elicitation with stakeholders.
Translate goals, pain points, risks into detailed requirements across domains.
Develop and maintain processes, data definitions, mappings, and acceptance criteria.
Use AI-enabled tools to enhance documentation and quality.
Assess automation and AI opportunities with risk and value assessments.
Support evaluations, RFI/RFP activities, scorecards, and vendor recommendations.
Perform data analysis to validate assumptions, quality, and trends.
Collaborate with architects, data engineers, security, risk, and operations.
Support Agile/Waterfall/hybrid delivery with backlog, sprint, and UAT readiness.
Ensure end-to-end requirements traceability across design to value realization.
Lead UAT planning, test scenarios, defect triage, and sign-off readiness.
Communicate complex topics clearly to executives and teams.

Skills

Requirements Elicitation

Data Analysis

Agile Methodologies

Stakeholder Communication

AI-Enabled Tools

Critical Thinking

Facilitation

Emotional Intelligence

Education

Bachelor’s degree in Information Systems, Business, Data Analytics, Computer Science

Tools

Enterprise Systems

APIs

Reporting Platforms

Automation Tools

Data Quality Tools

Job description

Lead structured discovery, requirements elicitation, and alignment discussions with business, technical, vendor, application support, and leadership stakeholders
Translate business goals, pain points, risks, and operational needs into business, functional, non-functional, data, reporting, integration, enhancement, and support requirements
Develop and maintain process flows, user journeys, business rules, decision matrices, source-to-target mappings, data definitions, backlogs, acceptance criteria, and traceability documentation
Use AI-enabled productivity and analysis tools responsibly to improve documentation and requirements quality
Assess automation, analytics, and AI-enabled opportunities, including value, feasibility, risks, controls, success measures, and adoption considerations
Support technology reviews, vendor evaluations, solution comparisons, application assessments, RFI/RFP activities, scorecards, and recommendations
Perform detailed data analysis to validate assumptions, assess data quality, identify trends or anomalies, and support reporting and integration needs
Partner with architects, developers, data engineers, security, risk, and operations teams to clarify requirements and dependencies and ensure scalable, secure, compliant solutions
Support Agile, Waterfall, hybrid, and operational delivery through backlog management, sprint readiness, prioritization, acceptance criteria, impact analysis, release readiness, and value-based decisions
Ensure end-to-end requirements traceability across design, development, testing, deployment, training, and post-implementation value realization
Lead UAT planning and execution support, including test scenarios, stakeholder coordination, defect triage, issue resolution, and sign-off readiness
Communicate complex technical, data, and process topics clearly to executives, project teams, vendors, and end users

Requirements

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
Experience supporting IT projects, enhancements, application changes, or operational technology initiatives
Ability to lead requirements discovery, stakeholder facilitation, process analysis, data analysis, solution definition, impact analysis, and cross-functional alignment
Experience developing business, functional, non-functional, data, reporting, integration, and acceptance requirements
Strong data analysis skills, including data profiling, trend and anomaly identification, output validation, business rules, and source-to-target mapping
Experience 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, responsible generative AI use, automation opportunities, data quality, model/output validation, and business value assessment
Ability to communicate clearly with executives, 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, including trust-building, ambiguity navigation, constructive conflict management, influence without authority, empathy, professionalism, and confidence
Ability to be open and flexible while upholding standards
Preferred: experience with enterprise platforms or business applications in Finance and/or Investments
Preferred: familiarity with product management practices
Relevant certifications such as CBAP, CCBA, PMI-PBA, CSPO, CSM, SAFe, Agile, data analytics, cloud, or AI-related certifications are preferred

Core Competencies

Demonstrates expertise in leading requirements elicitation, stakeholder facilitation, and data analysis to drive business and technical alignment. Proficient in Agile and Waterfall methodologies, with a strong focus on documentation quality and end-to-end requirements traceability.

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