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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 ...

Senior Data Analyst - CRM

Orlando, FL ยท On-site

$80K - $101K/yr

As a Senior Data Analyst, you will leverage data and analytics to enhance CRM performance and operational efficiency while collaborating with various teams to provide actionable insights and support ...

You will partner closely with Strategic Analytics, Operations, Business Development, and vendor and development teams to ensure accurate, timely, and consistent delivery of data and insights to ...

Senior Data Analyst - CRM

Orlando, FL ยท On-site

$80K - $101K/yr

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 ...

Senior Data Analyst - CRM

Orlando, FL

$80K - $101K/yr

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 ...

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 ...

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 ...

Data Analyst

Doral, FL ยท 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 ...

... 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 ...

Data Analyst

Doral, FL ยท 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 ...

Data Analyst

Cocoa, FL ยท On-site

... SQL queries, analyze and validate data, build Pivot Tables and reports, identify process ... Support operational cleanup projects, workflow reviews, data validation efforts, and system process ...

Data Analyst

Cocoa, FL ยท On-site

... SQL queries, analyze and validate data, build Pivot Tables and reports, identify process ... Support operational cleanup projects, workflow reviews, data validation efforts, and system process ...

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Showing results 1-20

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 14, 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 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 89% Full Time, 4% Temporary, and 7% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Contractor

Re-posted 27 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