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Operational Data Analyst Jobs in Florida (NOW HIRING)

Gerdau

DATA ANALYST

Tampa, FL · On-site

... Operations Planning, Fulfillment, and Logistics. Key Responsibilities: * Collect, analyze, and ... Develop and implement data models, algorithms, and AI solutions to optimize supply chain processes ...

ManTech International

Data Analyst

Doral, FL · On-site

... operational efficiency improvements. * Collaborate with cross-functional teams to identify data ... Proficiency in data analysis tools and languages such as SQL, Python, R, or similar. * Ability to ...

MANTECH

Data Analyst

Doral, FL

... operational efficiency improvements. * Collaborate with cross-functional teams to identify data ... Proficiency in data analysis tools and languages such as SQL, Python, R, or similar. * Ability to ...

ManTech

Data Analyst

Doral, FL

... operational efficiency improvements. * Collaborate with cross-functional teams to identify data ... Proficiency in data analysis tools and languages such as SQL, Python, R, or similar. * Ability to ...

NCCI

Lead Data Analyst - Medical Data

Boca Raton, FL · On-site

$75K - $85K/yr

Lead Data Quality & Operational Excellence * Coordinate team activities and priorities to ensure ... Analyze trends and identify root causes * Develop new processes and operational workflows

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All JobsOperational Data Analyst JobsOperational Data Analyst Jobs in Florida

Operational Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do operational data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for operational data 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 is the difference between Operational Data Analyst vs Data Analyst?

AspectOperational Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Statistics, Mathematics, or related field; similar technical skills
Work EnvironmentFocus on operational data, process improvement, and real-time analytics within organizationsBroader data analysis across various projects, including market research and reporting
Employer & Industry UsageUsed in industries like manufacturing, logistics, and retail for operational insightsCommon across finance, marketing, healthcare, and other sectors for data-driven decision-making

Operational Data Analysts specialize in analyzing operational data to improve processes and efficiency, often working closely with operational teams. Data Analysts have a broader scope, working on various data projects across different departments. While both roles require similar skills and education, their focus areas and typical industries differ, making each role unique in its contribution to organizational success.

What is an Operational Data Analyst?

An Operational Data Analyst is a professional who collects, analyzes, and interprets data related to an organization's daily operations. Their main goal is to identify trends, inefficiencies, and opportunities for process improvement by working closely with operational teams. They use various data analysis tools and methods to create reports, dashboards, and actionable insights that support decision-making. Operational Data Analysts often collaborate with different departments to ensure data accuracy and optimize business performance.

What are some common challenges faced by Operational Data Analysts when working with cross-functional teams?

Operational Data Analysts often work closely with departments such as operations, finance, and IT, each of which may have different data priorities and technical backgrounds. A common challenge is translating complex data findings into actionable insights for non-technical stakeholders while ensuring data integrity across systems. Effective communication and a collaborative approach are essential to align goals, clarify requirements, and ensure successful project outcomes.

What are the key skills and qualifications needed to thrive as an Operational Data Analyst, and why are they important?

To thrive as an Operational Data Analyst, you need strong analytical abilities, statistical knowledge, and experience with data management, often supported by a degree in data science, statistics, or a related field. Proficiency in data analysis tools such as SQL, Excel, Python, and business intelligence platforms like Tableau or Power BI is typically required. Excellent problem-solving skills, attention to detail, and effective communication help analysts interpret complex information and share actionable insights with stakeholders. These skills are crucial for optimizing business processes, enabling data-driven decisions, and delivering measurable operational improvements.
What are popular job titles related to Operational Data Analyst jobs in Florida? For Operational Data Analyst jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Operational Data Analyst jobs in Florida look for? The top searched job categories for Operational Data Analyst jobs in Florida are:
Operational Data Analyst jobs near you
Infographic showing various Operational Data Analyst job openings in Florida as of July 2026, with employment types broken down into 87% Full Time, 2% Temporary, and 11% Contract. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.
DATA ANALYST

DATA ANALYST

Gerdau

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago

Gerdau rating

6.9

Company rating: 6.9 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

412th of 535 rated manufacturers

Job description

At Gerdau, we empower our people to grow, thrive, and make a difference-together. With a culture built on trust and teamwork, we offer meaningful work, continuous development, and opportunities to shape your future. We invite you to come work with us, where your contributions are valued, your voice is heard, and your career is forged with purpose
Location: Tampa, FL
Job Summary: 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 decisions and implement AI solutions across Sales and Operations Planning, Fulfillment, and Logistics.
Key Responsibilities:
  • Collect, analyze, and interpret large datasets to identify trends, patterns, and insights that drive business decisions.
  • Develop and implement data models, algorithms, and AI solutions to optimize supply chain processes and improve operational efficiency.
  • Collaborate with cross-functional teams, including marketing, IT, and customer service, to ensure seamless data integration and alignment with business goals.
  • Create and maintain dashboards and reports for real-time visibility into key performance metrics and operational insights.
  • Conduct data-driven analysis to support strategic initiatives and identify opportunities for process improvements.
  • Work closely with stakeholders to understand business requirements and translate them into actionable data insights and AI solutions.
  • Stay up to date with the latest advancements in data science, AI, and supply chain management to continuously enhance our capabilities.

Qualifications:
  • Bachelor's or master's degree in data science, Computer Science, Statistics, Supply Chain Management, or a related field.
  • Proven experience as a Data Scientist or Data Analyst, preferably in a supply chain or logistics environment.
  • Strong proficiency in data analysis tools and programming languages like Python, R, SQL, and data visualization tools like Tableau or Power BI.
  • Experience with machine learning algorithms, AI frameworks, and statistical modeling techniques.
  • Excellent problem-solving skills and the ability to work with complex datasets to derive meaningful insights.
  • Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
  • Ability to manage multiple projects and prioritize tasks in a fast-paced environment.

Preferred Skills:
  • Experience with supply chain management systems and ERP software.
  • Knowledge of advanced analytics techniques and predictive modeling.
  • Familiarity with cloud-based data platforms and big data technologies.

Benefits:
  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and vision insurance.
  • Retirement savings plan with company match.
  • Professional development opportunities and continuous learning.
  • Collaborative and inclusive work environment.

Gerdau believes in equal employment opportunity related to all employees and applicants for employment. It is the policy of Gerdau that there will be no discrimination against any employee or applicant for employment on the basis of race, religion, color, national origin, citizenship, marital status, sex, age, sexual orientation, genetic information, gender identity, veteran status, disability, or other legally protected status. All external applicants must be legally eligible to immediately work in the country of hire without current or future sponsorship.
If you are vision-impaired or have some other disability under the Americans with Disabilities Act / Accessible Canada Act or a similar law, and you wish to discuss potential accommodations related to applying for employment at Gerdau, please contact our Talent Acquisition Team at (866)-788-2798 or recruiting@gerdau.com

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