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Data Analyst Data Science Jobs in Florida (NOW HIRING)

AEVEX

Program Data Science Analyst

Tampa, FL

Job Overview The Program Data Science Analyst will play a critical role in supporting program and project planning, execution, and monitoring activities across various initiatives. This role blends ...

AEVEX

Program Data Science Analyst

Tampa, FL

Job Overview The Program Data Science Analyst will play a critical role in supporting program and project planning, execution, and monitoring activities across various initiatives. This role blends ...

AEVEX

Program Data Science Analyst

Tampa, FL · On-site

Job Overview The Program Data Science Analyst will play a critical role in supporting program and project planning, execution, and monitoring activities across various initiatives. This role blends ...

ManTech

Data Analyst

Fort Walton Beach, FL

Working collaboratively with data engineers and data scientists to produce qualitative and quantitative analysis of data that support Sponsor products. Minimum Qualifications: * Bachelor's degree in ...

ManTech International

Data Analyst

Tampa, FL · On-site

Working collaboratively with data engineers and data scientists to produce qualitative and quantitative analysis of data that support Sponsor products. Minimum Qualifications: * Bachelor's degree in ...

Carisam

Data Analyst/Engineer

Miami, FL · On-site

... Science, Engineering, Information Systems, Business Analytics, or related field • Experience in data analytics, system monitoring, or platform engineering (logistics/distribution preferred) • ...

Programmers.io

Data Analyst

Tampa, FL · On-site

The role involves designing, building, and optimizing scalable data pipelines, enabling analytics and AI use cases, and collaborating closely with data science and business teams in large scale ...

LivaNova

Data Analyst

Miami, FL

$70K - $100K/yr

The Data Analyst will provide data analysis, reporting, and visualization support to the Statistics & Data Science team across post-market surveillance, manufacturing, R&D, and clinical data sources.

New

ManTech International

Data Analyst

Doral, FL · On-site

Master's degree or PhD in Data Science, Information Technology, Cybersecurity, Computer Science, or related field. * Demonstrated knowledge of IT service management best practices and their ...

InstantServe LLC

Data Analyst

Tallahassee, FL · On-site

Associate's or Bachelor's Degree in Computer Science, Information Systems, Data Analytics, or a related field, or equivalent work experience. * 1-3 years of IT, data analysis, reporting, business ...

TMS

Data Analyst

Lake Mary, FL · On-site

$55 - $62/hr

... Science Economics or a related field Experience 10 years of experience in a data analyst or related role

Varsity Tutors

Data Science Tutor

Miramar, FL · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Florida

Data Analyst Data Science information

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How much do data analyst data science jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for data analyst data science in Florida is $31.39, according to ZipRecruiter salary data. Most workers in this role earn between $22.64 and $38.03 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any stage of life. Many professionals transition into data roles later in their careers with dedication and continuous learning.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data analysts often use this concept to focus on the most impactful variables or features during analysis and modeling to improve efficiency and accuracy.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

Can data science work as a data analyst?

Data science and data analysis are related fields, but they have different focuses. Data scientists often develop models and algorithms using programming languages like Python or R, while data analysts primarily interpret data, generate reports, and use tools like Excel or SQL. Skills in statistical analysis, data visualization, and understanding business needs are essential for both roles, and some professionals transition between them based on experience and training.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data science environment.
What are popular job titles related to Data Analyst Data Science jobs in Florida? For Data Analyst Data Science jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Florida look for? The top searched job categories for Data Analyst Data Science jobs in Florida are:
What cities in Florida are hiring for Data Analyst Data Science jobs? Cities in Florida with the most Data Analyst Data Science job openings:
Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Florida as of June 2026, with employment types broken down into 1% As Needed, 64% Full Time, 30% Part Time, and 5% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $65,284 per year, or $31.4 per hour.

Data Analyst

Ascension Federal Services Inc.

Melbourne, FL

Full-time

Posted 4 days ago

Job description

Data Analyst

Location: Melbourne, FL, 32940

Job Description

We are seeking a detail-oriented and analytical Data Analyst to join our team in Melbourne, FL. The ideal candidate will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports to help drive informed business decisions.

Responsibilities
  • Collect, process, and perform statistical analyses on large datasets.
  • Develop and maintain dashboards and reports to track key performance indicators (KPIs).
  • Identify trends, patterns, and insights from data to support business strategies.
  • Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
  • Ensure data integrity and accuracy by performing data validation and cleansing.
  • Present findings and recommendations to stakeholders in a clear and concise manner.
  • Utilize data visualization tools to communicate complex data effectively.
Qualifications
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
  • Proven experience as a Data Analyst or in a similar role.
  • Proficiency in SQL and experience with data querying and manipulation.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Familiarity with statistical software (e.g., R, Python) is a plus.
  • Excellent communication and presentation skills.
  • Ability to work independently and as part of a team.
How to Apply

If you are passionate about data and eager to contribute to a dynamic team, please submit your resume and cover letter to our HR department.

Apply