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Operational Data Analyst Jobs in Florida (NOW HIRING)

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 ...

Senior Data Analyst - CRM

Orlando, FL · On-site

$80 - $100/hr

This role focuses on analyzing CRM, operational, and transactional data to identify trends, improve performance, and support initiatives that enhance commercial performance. The Sr. Data Analyst will ...

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 ...

Senior Data Analyst

Deerfield Beach, FL · Hybrid

$83K - $105K/yr

Key Responsibilities Data Analysis, Quality, Testing & Operational Excellence · Analyze business data to support management, project teams, data product teams, business stakeholders, and senior ...

Data Analyst

Fort Walton Beach, FL · On-site

$58 - $138/hr

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

Pensacola, FL · On-site

$25 - $30/hr

Basic Description Provide operational, analytical, and technical support for workforce reporting, forecasting, and business intelligence solutions. This role is responsible for maintaining data ...

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 ...

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 · 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 ...

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

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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 24, 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 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 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 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 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.

Is an operational data analyst entry-level?

An operational data analyst role can be entry-level or require some experience, depending on the company. Entry-level positions typically require basic skills in data analysis tools like Excel or SQL and may offer on-the-job training. More advanced roles may require prior experience or certifications in data analysis or related fields.
Infographic showing various Operational Data Analyst job openings in Florida as of August 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

Miami, FL • On-site

Contractor

Re-posted 8 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