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Exploratory Data Analysis Jobs in Florida (NOW HIRING)

The Subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

Subway Group

Data Scientist

Miami, FL · On-site

$103 - $128/hr

Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling ...

kgs

Data Scientist

Cape Canaveral, FL

Conduct exploratory data analysis * Develop and maintain analytical pipelines * Collaborate with cross-functional teams to understand requirements * Transform complex data into actionable insights

kgs

Data Scientist

Cape Canaveral, FL

Conduct exploratory data analysis * Develop and maintain analytical pipelines * Collaborate with cross-functional teams to understand requirements * Transform complex data into actionable insights

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

$170 - $230/hr

Develop and deploy models using Python and AWS SageMaker, managing the full lifecycle from exploratory data analysis and prototyping through production deployment, monitoring, and performance ...

INSPYR Solutions

Senior Data Scientist

Hollywood, FL · On-site

Perform Exploratory Data Analysis (EDA) and initial investigations on data to discover patterns, spot anomalies, and check assumptions * Build predictive models using statistical and machine learning ...

New

JPMorgan Chase & Co

Data Scientist Lead

Tampa, FL · On-site

Develop and deploy models using Python and AWS SageMaker, managing the full lifecycle from exploratory data analysis and prototyping through production deployment, monitoring, and performance ...

J.P. Morgan

Data Scientist Lead

Tampa, FL · On-site

Develop and deploy models using Python and AWS SageMaker, managing the full lifecycle from exploratory data analysis and prototyping through production deployment, monitoring, and performance ...

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

Develop and deploy models using Python and AWS SageMaker, managing the full lifecycle from exploratory data analysis and prototyping through production deployment, monitoring, and performance ...

Next Frontier Capital

Data Scientist Lead

Tampa, FL · On-site

$140 - $200/hr

Develop and deploy models using Python and AWS SageMaker, managing the full lifecycle from exploratory data analysis and prototyping through production deployment, monitoring, and performance ...

New

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

Develop and deploy models using Python and AWS SageMaker, managing the full lifecycle from exploratory data analysis and prototyping through production deployment, monitoring, and performance ...

JP Morgan Chase

Data Scientist Lead

Tampa, FL

Develop and deploy models using Python and AWS SageMaker, managing the full lifecycle from exploratory data analysis and prototyping through production deployment, monitoring, and performance ...

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All JobsExploratory Data Analysis JobsExploratory Data Analysis Jobs in Florida

Exploratory Data Analysis information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do exploratory data analysis jobs pay per year?

As of Aug 19, 2026, the average yearly pay for exploratory data analysis 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 exploratory data analysis?

An Exploratory Data Analysis (EDA) job involves analyzing and summarizing datasets to uncover patterns, relationships, and anomalies before applying formal modeling techniques. Professionals in this role use statistical methods and visualization tools to interpret data insights, assess data quality, and guide decision-making. EDA helps organizations understand their data better, ensuring that downstream analysis and machine learning models are built on a strong foundation.

What does someone in exploratory data analysis do?

Professionals in Exploratory Data Analysis spend their days gathering, cleaning, and examining data sets to identify patterns, trends, and potential outliers. They use statistical and visualization tools to create reports and dashboards that help stakeholders understand the data’s implications. Collaboration with data engineers, business analysts, and management is common to ensure that the analyses address real business questions. Additionally, they often refine data collection processes and suggest improvements based on their findings, contributing to more efficient and insightful data workflows.

What are the key skills and qualifications needed for exploratory data analysis?

To thrive in Exploratory Data Analysis, you need a strong background in statistics, data visualization, and data manipulation with a relevant degree such as in statistics, mathematics, or computer science. Proficiency with tools like Python (pandas, matplotlib, seaborn), R, SQL, and data visualization platforms such as Tableau is highly valued, and certifications in data analytics can be beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate insights clearly are essential soft skills for this role. These abilities ensure that analysts can interpret complex datasets, uncover valuable trends, and present findings to inform business decisions.

What is an exploratory data analyst?

An exploratory data analyst is a professional who examines and summarizes data sets to identify patterns, trends, and relationships. They use statistical tools and programming languages like Python or R to visualize data and support decision-making processes.

What are the most commonly searched types of Exploratory Data Analysis jobs in Florida?

The most popular types of Exploratory Data Analysis jobs in Florida are:

What are popular job titles related to Exploratory Data Analysis jobs in Florida?

For Exploratory Data Analysis jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Exploratory Data Analysis jobs in Florida look for?

The top searched job categories for Exploratory Data Analysis jobs in Florida are:

Exploratory Data Analysis jobs near you
Infographic showing various Exploratory Data Analysis job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Data Scientist

The Subway

Miami, FL • On-site

$102K - $128K/yr

Full-time

Medical, Life, Retirement

Re-posted 6 days ago

Subway rating

4.4

Company rating: 4.4 out of 10

Based on 2,054 frontline employees who took The Breakroom Quiz

98th of 106 rated fast food restaurants

Job description

We are Subway Headquarters! A dedicated team of professionals supporting thousands of franchisees around the globe.
Location: Miami, FL
Ready for a fresh, new career? Look no further because one of the world's most iconic brands can help you get there.
Why Join Us?
At Subway, "better" is baked into our DNA. We are a brand that believes in continued improvement ... in our lives, our businesses, and our planet. From the handshake that started our very first sandwich shop to earning our position as one of the world's leading restaurant brands, we've always embraced change and the path ahead. And today, we're making better living way easier.
Our purpose is more than the food we serve in our restaurants. It's centered on fueling healthy businesses and healthier lives. It is one of the most exciting times to join the Subway team and contribute to our transformational journey.
Key Responsibilities
  • Write production-level code for robust analytics products, ensuring scalability and maintainability.
  • Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation and testing, and deployment.
  • Leverage a diverse set of large and unstructured data (POS data, loyalty program data, customer feedback, etc.) to derive meaningful insights and information sets that inform business decisions.
  • Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.

Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent experience)
  • 3+ years of experience in data science, analytics, or a related role
  • Strong programming experience with Python, R, or similar languages for data analysis and model development
  • Experience writing production-level code with a focus on scalability, performance, and maintainability
  • Solid understanding of software development best practices (version control, testing, code reviews)

Technical Skills
  • Hands-on experience with machine learning techniques such as regression, classification, clustering, and ensemble methods
  • Proficiency in advanced analytics methods including:
    • Predictive modeling
    • Time series analysis
    • Optimization and simulation techniques
  • Experience working with large, complex, and unstructured datasets (e.g., transactional, customer, or behavioral data)
  • Strong data wrangling and exploratory data analysis (EDA) skills
  • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn)
  • SQL along with Python, R required

Data & Engineering Collaboration
  • Experience working in cross-functional teams with data engineers, software engineers, and product teams
  • Familiarity with data pipelines, ETL processes, and cloud-based data platforms (e.g., AWS, Azure, or GCP)
  • Understanding of the full data science lifecycle, including:
    • Data preparation
    • Model development and validation
    • Deployment and monitoring

Analytical & Business Skills
  • Strong problem-solving and critical thinking skills with the ability to translate business questions into analytical solutions
  • Experience applying data-driven insights to influence business decisions
  • Ability to perform hypothesis testing and interpret statistical results

Soft Skills
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders
  • Strong collaboration and teamwork abilities
  • Ability to manage multiple projects and work in a fast-paced environment

What do we offer?
  • Insurance Plans (Medical, Life)
  • Pension/401K/RSP (country specific)
  • Competitive Bonus
  • Mobility Allowance
  • Tuition Reimbursement
  • Company Holidays
  • Volunteering time
  • And More.....

Compensation: The base pay range for this role is $102,700-$128,400 annually
Pay within this range will be determined in good faith based on job-related factors, which may include skills, experience, education/training, location, and internal equity.
The Company is only considering applicants who are currently authorized to work in the country the position is based. AA/EOE/D/V
The Company is only considering applicants who are currently authorized to work in the country the position is based. AA/EOE/D/V

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