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Operational Data Analyst Jobs in Florida (NOW HIRING)

Data Analyst

Miami, FL ยท On-site

Data Analyst Location: Miami, FL - Onsite 5 days/week Type: 6-month Contract-to-Hire Role Overview ... revenue operations data in SaaS environments. Key Responsibilities * Develop and maintain ...

... operational decision-making Uses data analysis techniques, including Data/Trend Analysis, to identify and implement opportunities to improve health outcomes and lower medical costs Utilize MS Office ...

... support operational decision-making * Uses data analysis techniques, including Data/Trend Analysis, to identify and implement opportunities to improve health outcomes and lower medical costs

Data Analyst

Tampa, FL ยท On-site

$86K - $138K/yr

Responsibilities This Data Analyst position supports Operations in the Information Environment (OIE) and Psychological Operations (PSYOP) by transforming diverse intelligence and behavioral data into ...

Data Analyst

Tampa, FL

$86K - $138K/yr

Operational assessments -- Support Measures of Effectiveness (MOE), Measures of Performance (MOP), and intermediate objectives tied to operational plans. * Cloud based analytics -- Use cloud ...

Data Analyst

Hurlburt Field, FL ยท On-site

$58K - $138K/yr

We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data ... Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations ...

Data Analyst

Leesburg, FL ยท On-site

$43K - $51K/yr

... support operational decision-making * Uses data analysis techniques, including Data/Trend Analysis, to identify and implement opportunities to improve health outcomes and lower medical costs

Data Analyst

Hurlburt Field, FL ยท On-site

$58K - $138K/yr

We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data ... Role This role is for a Data Analyst on a close-knit team supporting Air Force Special Operations ...

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 ยท 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 ยท On-site

$58K - $141K/yr

We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data ... The senior data analyst will work closely with stakeholders and colleagues to gather requirements ...

... and enhancing operations. We welcome applications from candidates of diverse professional ... Develop, implement, and manage advanced database systems, data analytics, and other strategies to ...

The Data and Analytics team delivers high-value analysis and actionable insights that support strategic decisions, operational efficiency, and compliance for a wide range of stakeholders. KEY ...

DATA ANALYST

Tampa, FL ยท 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 ...

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

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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 Aug 5, 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 does an operational data analyst do?

An operational data analyst collects, analyzes, and interprets data related to business operations to identify trends, improve processes, and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and dashboards, ensuring operational efficiency and effectiveness.

What is the salary of an operational data analyst vs operations analyst?

Operational Data Analysts typically earn a median salary ranging from $60,000 to $80,000 annually, depending on experience and location. Operations Analysts often have similar salaries, generally between $55,000 and $75,000, with variations based on industry and company size. Both roles require strong analytical skills and proficiency with data tools like Excel, SQL, or Tableau.

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.

Is an operational data analyst entry level?

An entry-level operational data analyst position typically requires minimal professional experience, often focusing on skills in data analysis tools like Excel, SQL, or Tableau. Many roles are suitable for recent graduates or those with 1-2 years of related experience, and some employers may offer on-the-job training or certifications to develop necessary skills.

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:
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.

Contractor

Re-posted 18 days ago


Job description

Overview:
Data Analyst
Location: Miami, FL - Onsite 5 days/week
Type: 6-month Contract-to-Hire
Role Overview
We are seeking Data Analysts to join our growing team. This role will focus on building and maintaining dashboards, reports, and analytical deliverables that provide visibility into key business metrics such as pipeline health, lead conversion, win/loss rates, ARR, and churn.
The ideal candidate will have strong SQL skills, experience with BI tools, and a solid understanding of revenue operations data in SaaS environments.
Key Responsibilities
  • Develop and maintain dashboards/reports tracking pipeline, ARR, churn, and other KPIs.
  • Write clean, well-documented SQL queries in BigQuery to support ad hoc analysis.
  • Partner with Sales, Marketing, and Customer Success teams to translate data needs into actionable insights.
  • Ensure data accuracy and integrity across CRM and RevOps systems.
Required Skills
  • 3+ years in data analysis or business intelligence, preferably in SaaS/technology.
  • Strong SQL expertise (complex queries, window functions, CTEs).
  • Experience with BI tools (Looker, Tableau, Power BI, etc.).
  • Understanding of RevOps metrics (pipeline, ARR, CAC, LTV, churn).
  • Familiarity with CRM data (Salesforce, HubSpot).
Nice to Have
  • Experience with dbt-modeled data or data modeling concepts.
  • Familiarity with Python for advanced analysis.
  • Knowledge of Stripe, Clari, or other RevOps tools.

Skills:
SQL,DATA ANALYSIS