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Analyst Data Analysis Jobs in Florida (NOW HIRING)

ManTech

Data Analyst

Fort Walton Beach, FL · On-site

Collecting customer requirements for analysis, reporting and visualization and determining technical paths to fulfilling them. * Developing custom data querying and manipulation capabilities using ...

MANTECH

Data Analyst

Tampa, FL

Collecting customer requirements for analysis, reporting and visualization and determining technical paths to fulfilling them. * Developing custom data querying and manipulation capabilities using ...

Clarity Innovations

Data Analyst

Hurlburt Field, FL · On-site

$58K - $141K/yr

Identify new sources of data and methods to improve data collection, analysis, and reporting Collect customer requirements Determine technical issues Design algorithms and data manipulation ...

Clarity Innovations

Data Analyst

Hurlburt Field, FL

$58K - $138K/yr

This team is at the center of helping the command empower and leverage its data for more effective analysis and decision making. As a subject matter expert, the Data Analyst will leverage their ...

Booz Allen Hamilton

Senior Data Analyst

Hurlburt Field, FL · On-site

$78K - $99K/yr

Experience in data analysis, data engineering, or data science * Experience designing, developing, operationalizing, and maintaining data applications for reporting and analytics at enterprise scale

Clarity Innovations

Data Analyst

Hurlburt Field, FL · On-site

$58K - $138K/yr

This team is at the center of helping the command empower and leverage its data for more effective analysis and decision making. As a subject matter expert, the Data Analyst will leverage their ...

ManTech International

Data Analyst

Tampa, FL · On-site

Collecting customer requirements for analysis, reporting and visualization and determining technical paths to fulfilling them. * Developing custom data querying and manipulation capabilities using ...

Happy Agencies

Data Analyst

Miami, FL · On-site

We are seeking to expand our team with a strategic, detail-oriented, and highly analytical Data Analyst across various seniority levels. The successful candidate will be instrumental in transforming ...

System One Holdings, LLC

Data Analyst

Pensacola, FL · On-site

... data audits and analysis • Identify and compile data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes • Document data ...

AssistRx

Data Reporting Analyst (HealthTech)

Orlando, FL · On-site +1

As a Data Insight Analyst , you'll play a key role in transforming complex data into actionable insights that drive smarter decisions across our organization and client base. You'll not only acquire ...

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Analyst Data Analysis information

What are the key skills and qualifications needed to thrive as an analyst data analysis?

To thrive as an Analyst in Data Analysis, you need strong analytical skills, a solid foundation in statistics, and proficiency with data querying languages, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau or Power BI, as well as certifications in analytics, are highly valued. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data and presenting actionable insights. These competencies enable analysts to extract meaningful information from complex datasets, drive informed decision-making, and add value to their organizations.

What is the difference between Analyst Data Analysis vs Data Scientist?

AspectAnalyst Data AnalysisData Scientist
Required CredentialsBachelor's degree in data-related fields; certifications like Microsoft Excel, SQLBachelor's or master's in data science, statistics, or related fields; certifications in Python, R, or machine learning
Work EnvironmentBusiness settings, reporting, dashboards, data visualizationResearch, modeling, advanced analytics, machine learning projects
Employer & Industry UsageFinance, marketing, healthcare, retailTech companies, finance, research institutions, startups

While both roles analyze data, Analyst Data Analysis focuses on interpreting data for business insights using tools like Excel and SQL. Data Scientists build predictive models and perform advanced analytics using programming languages like Python or R. The roles differ mainly in complexity, tools used, and scope of analysis, but they often collaborate within data teams.

What is an analyst data analysis?

Analyst Data Analysis roles involve collecting, processing, and interpreting large sets of data to help organizations make informed business decisions. These professionals use statistical techniques and data visualization tools to identify trends, patterns, and insights from raw data. They often collaborate with various departments to provide actionable recommendations and support strategic planning. Strong analytical skills, attention to detail, and proficiency with data analysis software are essential for this role.

How does an analyst data analysis typically collaborate with other departments within a company?

Analyst Data Analysis professionals frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product management to gather requirements and deliver actionable insights. They participate in meetings to discuss data needs, share analytical findings, and help stakeholders interpret results for decision-making. Effective communication and the ability to translate complex data into understandable terms are crucial, as these analysts often serve as a bridge between technical teams and business units. Collaborating on projects and providing data-driven recommendations is a central part of their daily responsibilities.
What are popular job titles related to Analyst Data Analysis jobs in Florida? For Analyst Data Analysis jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Analyst Data Analysis jobs in Florida look for? The top searched job categories for Analyst Data Analysis jobs in Florida are:
What cities in Florida are hiring for Analyst Data Analysis jobs? Cities in Florida with the most Analyst Data Analysis job openings:
Analyst Data Analysis jobs near you
Infographic showing various Analyst Data Analysis job openings in Florida as of August 2026, with employment types broken down into 44% Full Time, and 56% Contract. Highlights an 100% In-person job distribution.

Senior IT Business/Data Analyst

3Core Systems, Inc.

Deerfield Beach, FL • On-site

$89K - $115K/yr

Contractor

Posted 4 days ago

Job description


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 (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

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