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Data Analyst Analyst Jobs in Florida (NOW HIRING)

Data Analyst

Orlando, FL · On-site

$70 - $73/hr

Data Analyst Location: Orlando, FL (Hybrid 4/1) Duration: 12+ month contract Compensation: $70.00 - $73.00/hr Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. Data Analyst ...

The Data Analyst will leverage their strong technical background and knowledge to manipulate and analyze data in accordance with data management policies to support mission and business functions and ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model: Hybrid - onsite and remote Responsibilities • Contribute to the development of technical requirements including data definitions ...

Data Analyst

Hurlburt Field, FL · On-site

$58K - $138K/yr

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations Command (AFSOC) at Hurlburt Field, FL. This team is at the center of helping the command empower and ...

Data Analyst

Hurlburt Field, FL · On-site

$58K - $138K/yr

Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations Command (AFSOC) at Hurlburt Field, FL. This team is at the center of helping the command empower and ...

Data Analyst

Orlando, FL · On-site

$120K/yr

We are seeking a detail-oriented and analytical Data Analyst to join our team in Orlando. You will be responsible for managing the full data lifecycle-from design and collection to analysis and ...

Data Analyst Work Location: Tampa, FL Duration: 8+ Months Required Skills - SQL Developer Nice to have skills - Splunk,SQL Server Job summary • Over 4 years of experience in Data and strong ...

Expert-level proficiency in SQL, Python, Power BI, VBA, and Alteryx is essential, as these tools are foundational to driving advanced analytics, automation, and scalable data solutions across the ...

Data Analyst with strong experience in Big Data, Cloud (AWS & GCP), and AI/ML-enabled data platforms. Good in Snowflake NoSQL: MongoDB, DynamoDB, Cassandra RDBMS: Oracle Key Responsibilities * The ...

We seek a highly skilled and motivated Data Scientist / Analyst to join our Supply Chain business unit. The successful candidate will be crucial in leveraging data to improve timely business ...

We seek a highly skilled and motivated Data Scientist / Analyst to join our Supply Chain business unit. The successful candidate will be crucial in leveraging data to improve timely business ...

The Data Analyst is responsible for ensuring enterprise data is accurate, consistent, and trusted for decision-making. This role combines analytical expertise with data governance practices to ...

Data Analyst Location: Palm Beach Garden, FL Advance your career with Mindlance! We have been connecting talented IT professionals with world-class companies since 1999. Mindlance is here to help you ...

New

Data Analyst

Deland, FL · On-site

$18 - $25/hr

In this role, you will prepare, analyze, and validate data used in direct mail marketing campaigns. You'll ensure data accuracy, maintain large client databases, and support the successful execution ...

The Data Analyst is responsible for the volume layer of the assessment: intaking entity responses, reviewing submitted evidence for completeness, entering Assessor-validated scores into the master ...

Showing results 21-40

Data Analyst Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do data analyst analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analyst analyst in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 per year, depending on experience, location, and employer.

What work does a data analyst do?

A data analyst collects, processes, and interprets large datasets to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.

Is a data analyst well paid?

Data analysts are generally well paid, with salaries varying based on experience, location, and industry. Entry-level positions typically start around industry-standard rates, while experienced analysts with skills in tools like SQL, Excel, and data visualization can earn higher salaries. Certifications and advanced education can also contribute to increased compensation.

Can I be a data analyst with no experience?

Becoming a data analyst typically requires some knowledge of data analysis tools like Excel, SQL, or Python, and understanding of data visualization. While prior experience is helpful, entry-level positions may be available for candidates with relevant coursework, certifications, or strong analytical skills, and many employers offer on-the-job training.
What job categories do people searching Data Analyst Analyst jobs in Florida look for? The top searched job categories for Data Analyst Analyst jobs in Florida are:
What cities in Florida are hiring for Data Analyst Analyst jobs? Cities in Florida with the most Data Analyst Analyst job openings:
Infographic showing various Data Analyst Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

$70 - $73/hr

Contractor

Medical, Retirement

Posted 24 days ago


Job description

Title: Data Analyst
Location: Orlando, FL (Hybrid 4/1)
Duration: 12+ month contract
Compensation: $70.00 - $73.00/hr
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
Data Analyst
The ideal candidate combines strong statistical fundamentals with hands-on experience with statistics, machine learning and AI; and is comfortable owning experiments end-to-end (design, instrumentation review, analysis, readout), and can clearly communicate methodology and results to both technical and non-technical audiences.
Responsibilities
  • Design, implement, and analyze A/B tests and other experimental designs (e.g., multivariate tests, holdout groups, switchback experiments) across product and marketing initiatives.
  • Apply causal inference techniques - including difference-in-differences, propensity score matching, synthetic control, regression discontinuity, and instrumental variables - for scenarios where randomized experiments aren't feasible.
  • Determine appropriate statistical tests (t-tests, chi-square, ANOVA, non-parametric alternatives, sequential testing, Bayesian methods) based on data characteristics and business context.
  • Calculate sample size and power requirements, and advise stakeholders on minimum detectable effect, test duration, and experiment feasibility before launch.
  • Build reusable Python-based analysis pipelines and tooling (e.g., using pandas, numpy, scipy, statsmodels) to standardize experiment analysis and reduce time-to-insight.
  • Write and optimize SQL to extract, transform, and validate experiment and behavioral data from large, complex datasets.
  • Partner with Product Managers, Engineers, and Marketers to scope experiments, define success metrics and guardrail metrics, and ensure proper randomization and instrumentation.
  • Proactively identify data quality issues, sample ratio mismatches, novelty effects, and other threats to experiment validity, and flag them before they affect decisions.
  • Communicate experiment design, methodology, and results clearly to stakeholders with varying levels of technical expertise, through written reports and presentations.
  • Build dashboards and visualizations (e.g., in Tableau, Looker, or Python plotting libraries) to track experiment health and results in near real time.
  • Contribute to the evolution of the company's experimentation platform, standards, and playbooks.

Required Qualifications
  • Bachelor's or Master's degree in Statistics, Data Science, Economics, Mathematics, Computer Science, or a related quantitative field.
  • 5+ years of hands-on experience in data analysis, with 3+ years specifically designing and analyzing A/B tests or experiments in an industry setting.
  • Strong proficiency in Python for statistical analysis and data manipulation (pandas, numpy, scipy, statsmodels, or similar).
  • Demonstrated expertise in statistical hypothesis testing (t-tests, chi-square, ANOVA) and in causal inference methods beyond simple A/B testing (e.g., diff-in-diff, matching methods, regression discontinuity, uplift modeling)
  • Practical understanding of experimental design concepts: randomization, power analysis, minimum detectable effect, novelty/primacy effects, network effects, and common pitfalls (e.g., peeking, multiple comparisons, Simpson's paradox).
  • Ability to translate ambiguous business questions into rigorous, testable analyses and communicate the resulting trade-offs clearly.
  • Experience presenting technical findings to non-technical stakeholders, including executives, in a clear and compelling way.
  • Comfort working with large, sometimes messy, real-world data and identifying/troubleshooting data integrity issues.

Desired Qualifications
  • Experience with experimentation platforms (e.g., Adobe [preferred], Optimizely, Statsig, GrowthBook, or in-house tooling) and/or building internal experimentation frameworks.
  • Familiarity with Bayesian statistics and sequential/always-valid testing methods.
  • Experience with version control (Git) and writing production-quality, reusable analysis code.
  • Background in a consumer product, subscription, streaming, or e-commerce environment.
  • Familiarity with data visualization tools such as Tableau or Looker.
  • Exposure to experimental design in marketing (e.g., geo-testing, media mix modeling) in addition to product experimentation.

Our benefits package includes:
  • Comprehensive medical benefits
  • Competitive pay
  • 401(k) retirement plan
  • ...and much more!

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/ . By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.
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