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Data Analytics Computer Science Jobs in Florida (NOW HIRING)

Currently pursuing a degree in Data Science, Business Analytics, Computer Science, or a related field. * Familiarity with Tableau or other data visualization tools. * Basic knowledge of SQL and ...

Master's degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred. * Additional applicable experience may be substituted for formal ...

Master's degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred. * Additional applicable experience may be substituted for formal ...

Master's degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred. * Additional applicable experience may be substituted for formal ...

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Data Analytics Computer Science information

Is 40 too late for data science?

Data analytics and data science roles are open to individuals of all ages, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age. Continuous learning and practical experience are key factors for career advancement in this field.

What is the difference between Data Analytics Computer Science vs Data Science?

AspectData Analytics Computer ScienceData Science
Required CredentialsBachelor's in Computer Science, Data Analytics, or related fields; certifications like Google Data AnalyticsBachelor's or higher in Computer Science, Statistics, or related; certifications like Certified Data Scientist
Work EnvironmentBusiness settings, analytics teams, IT departmentsResearch labs, tech companies, consulting firms
Employer & Industry UsageFinance, healthcare, marketing, retailTech, finance, healthcare, academia

Data Analytics Computer Science focuses on analyzing data to inform business decisions using programming and statistical tools. Data Science encompasses a broader scope, including developing models, machine learning, and predictive analytics. While both roles require similar credentials and often work in overlapping industries, Data Science typically involves more advanced statistical and modeling skills, whereas Data Analytics Computer Science emphasizes data processing and visualization for decision-making.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on the industry, location, and skill set. Proficiency in programming languages like Python or R, along with experience in machine learning and data visualization tools, can influence salary levels.

Is AI replacing data analysts?

Data analysts play a crucial role in interpreting data and providing insights, and AI tools are designed to assist rather than replace them. AI can automate routine tasks and enhance data processing, but human expertise is still essential for complex analysis, decision-making, and contextual understanding. Developing skills in data visualization, programming, and machine learning can help data analysts stay valuable in an evolving job market.

Can computer science work as a data analyst?

A computer science degree provides a strong foundation in programming, algorithms, and data management, which are essential skills for a data analyst. Data analysts typically use tools like SQL, Excel, and statistical software, and may benefit from knowledge of programming languages such as Python or R. While a computer science background is valuable, additional training in data visualization and statistical analysis is often required for data analyst roles.
What cities in Florida are hiring for Data Analytics Computer Science jobs? Cities in Florida with the most Data Analytics Computer Science job openings:
Infographic showing various Data Analytics Computer Science job openings in Florida as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Fall 2026 Data Analytics Intern

Fall 2026 Data Analytics Intern

US Hunger

Longwood, FL • On-site

Internship

Posted 12 days ago


Job description

Job Type
Internship
Description
POSITION SUMMARY
As a Data Analytics Intern, you will report to the Data and Research Writer and work closely with the Technology and Data Solutions Team. Your primary focus will be generating food insecurity statistics and analytics, along with partner data analytics, to support U.S. Hunger's activities in addressing food insecurity. You will use Tableau to create reports based on multiple data views from SQL Server Enterprise databases, helping to transform raw data into actionable insights for key stakeholders.
Responsibilities
Tableau Report Development
  • Assist in developing and optimizing Tableau reports, dashboards, and visualizations, specifically focused on food insecurity statistics and partner data analytics.
  • Work with internal teams to gather report requirements and ensure visualizations meet the analytical needs of U.S. Hunger's initiatives.
  • Troubleshoot and improve existing reports for performance, accuracy, and clarity.

Food Insecurity and Partner Data Analysis
  • Collaborate with the Client Experience Manager and Data & Research Writer to generate meaningful insights on food insecurity trends and the impact of U.S. Hunger's programs.
  • Support the creation of food insecurity statistics and partner data analytics to guide decision-making.
  • Conduct research to identify trends and produce data-driven recommendations.

SQL Querying and Data Research
  • Write SQL queries, stored procedures, and views to extract and analyze data from SQL Server Enterprise databases.
  • Assist in optimizing queries for performance and efficiency, ensuring timely and accurate data availability for reporting.
  • Conduct exploratory data research to identify trends and interpret the provided datasets for further insight

Requirements
Learning and Development
  • Engage in learning opportunities related to Tableau, SQL, and data analytics.
  • Participate in team meetings and collaborative projects to further develop your skills in data analysis, reporting, and visualization.

Qualifications
  • Currently pursuing a degree in Data Science, Business Analytics, Computer Science, or a related field.
  • Familiarity with Tableau or other data visualization tools.
  • Basic knowledge of SQL and experience working with databases, preferably SQL Server.
  • Strong analytical skills with the ability to interpret data and translate it into actionable insights.
  • Good problem-solving skills and a willingness to learn and adapt to new challenges.

Soft Skills
  • Strong attention to detail and a proactive attitude.
  • Good communication skills to effectively collaborate with the team and stakeholders.
  • Willingness to learn and grow in a data-driven environment.

Physical Environment
  • Work is primarily performed in an indoor, temperature-controlled office environment.
  • Frequent computer use requiring repetitive hand movements.