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Entry Level Data Jobs in Boca Raton, FL (NOW HIRING)

SynergisticIT

Cloud Data Engineer

Dania Beach, FL · On-site

$104K - $125K/yr

... Data & Analytics summit Why do Tech Companies not Hire recent Computer Science Graduates ... We are continuously looking for entry-level software programmers, Java Full stack developers ...

SynergisticIT

Python Developer (Entry Level)

Miami Gardens, FL · On-site

$45.75 - $63.25/hr

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

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All JobsEntry Level Data JobsEntry Level Data Jobs in Boca Raton, FL

Entry Level Data information

See Boca Raton, FL salary details

$10

$18

$26

How much do entry level data jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for entry level data in Boca Raton, FL is $18.48, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $20.77 per hour, depending on experience, location, and employer.

What is a data entry job for beginners?

A data entry job for beginners involves inputting, updating, and managing information in digital systems or databases. It typically requires basic computer skills, attention to detail, and familiarity with tools like spreadsheets or data management software. These roles often offer flexible schedules and do not require advanced qualifications.

What is the easiest entry-level role for data?

An entry-level data role often considered the easiest is a data entry clerk or assistant, which involves inputting and managing data using basic software like Excel or Google Sheets. These positions typically require minimal technical skills and may not require advanced certifications, making them accessible for beginners.

Can I work a data entry job with no experience?

Entry level data entry jobs typically do not require prior experience, as they focus on basic skills like typing, attention to detail, and familiarity with spreadsheet or database software. Employers often provide training, making it accessible for beginners to start in this role. Having basic computer skills and a high school diploma can improve your chances of getting hired.

What is the difference between Entry Level Data vs Data Analyst?

AspectEntry Level DataData Analyst
Required CredentialsHigh school diploma or associate's; some roles may prefer certificationsBachelor's degree in data-related fields; certifications like SQL or Excel often preferred
Work EnvironmentEntry-level roles in various industries, often in office settings or remoteOffice-based, collaborative environment; may involve client interaction
Employer & Industry UsageFound across industries; entry positions for those starting in data rolesCommon in finance, healthcare, marketing, and tech sectors

Entry Level Data roles are typically for individuals starting their data careers with basic skills and minimal experience, often focusing on data entry or simple analysis. Data Analysts usually have more specialized training and experience, handling complex data analysis, reporting, and insights. Both roles are essential in data-driven organizations, but Data Analysts generally require a higher skill set and educational background.

What are entry level data jobs?

Entry level data jobs are positions designed for individuals who are new to the data field, often requiring minimal professional experience. These roles may include titles such as Data Analyst, Data Coordinator, or Junior Data Scientist. Responsibilities typically involve data cleaning, basic analysis, reporting, and supporting more senior data professionals. Entry level data jobs are a great way to build foundational skills in data manipulation, visualization, and interpretation using tools like Excel, SQL, or Python. They are commonly found in industries such as finance, healthcare, retail, and technology.

Is 40 too late for data science?

Entry level data roles often value skills and relevant training over age, and many professionals start careers in data science later in life. Gaining proficiency in programming languages like Python or R, and understanding data analysis tools, can help transition into the field regardless of age.

What types of projects or tasks are typically assigned to entry-level data professionals during their first year?

Entry-level data professionals often start by working on data cleaning, validation, and basic analysis tasks, helping to ensure data quality and accuracy for the team. They may assist with preparing reports, creating simple visualizations, or supporting more senior analysts with larger projects. These tasks help build foundational skills in data manipulation and provide exposure to the company's data systems and tools. Collaboration with other team members, such as analysts, engineers, and business stakeholders, is common and fosters a supportive learning environment.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need foundational skills in data analysis, statistics, and problem-solving, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms (e.g., Tableau or Power BI) is often required, along with basic programming knowledge in Python or R. Strong attention to detail, analytical thinking, and effective communication are valuable soft skills for interpreting and sharing data-driven insights. These abilities are important to accurately analyze data, support business decisions, and collaborate with team members across departments.
What are the most commonly searched types of Data jobs in Boca Raton, FL? The most popular types of Data jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Entry Level Data jobs? Cities near Boca Raton, FL with the most Entry Level Data job openings:
Entry Level Data jobs near you
Entry Level PowerBI Developer

Entry Level PowerBI Developer

SynergisticIT

Hollywood, FL • On-site

Other

Posted 16 days ago

Job description

Since 2010, SynergisticIT has been helping jobseekers find tech jobs by teaching them the skills, experience, and knowledge they need to do well in interviews and impress clients.
The tech job market has been heavily impacted by layoffs. Since 2021, there have been over 600,000 layoffs in the industry.
The job market is extremely competitive. For every open position, 500-1,000 or more people are applying. Many of them are laid-off workers who are now competing for entry-level jobs too.
Please see the below links to know more about Synergisticit and some useful tips
Synergisticit Pics /Salaries of Successful Candidates
Synergisticit at Oracle Cloudworld 2023
Synergisticit at Gartner Data & Analytics summit
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
We work closely with top tech companies to give our candidates an edge.
At SynergisticIT, we understand the gap between what employers want and the skills employees have. Since 2010, we've helped thousands of people land jobs with companies like Apple, Google, PayPal, Western Union, Client, Visa, Walmart Labs, and more.
We're always looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, data engineers, and machine learning engineers for full-time roles with our clients.
Who Should Apply? Recent graduates in Computer Science, Engineering, Mathematics, Statistics, or Science. Also, people looking to change careers or those with gaps in employment who want to start a career in the tech industry.
We are looking for candidates in Data Science, Machine Learning, Data Analysis, and Java Full-Stack roles.
Preferred Skills for Java/Full-Stack/DevOps Positions:

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or IT.
  • Knowledge of Core Java, JavaScript, C++, or software programming.
  • Experience with Spring Boot, Microservices, Docker, Jenkins, GitHub, Kubernetes, and REST APIs.
Preferred Skills for Data Science/AI/Machine Learning Positions:
  • Associate, Bachelor's, or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics, or strong logical aptitude.
  • Knowledge of Statistics, Generative AI, Large Language Models (LLM), Sagemaker, Python, Computer Vision, and data visualization tools.
Additional Information:
  • If you lack technical skills, you can explore our other programs to help secure a job.
  • If you receive emails from our Job Placement team and are not interested, please reply to ask them to remove you from their contact list. This will prevent further contact, as the team shares its database with the client servicing team, which only reaches out to candidates matching client requirements.
  • No phone calls, please. Only shortlisted candidates will be contacted.
  • We do not accept applications from third-party agencies or c2c candidates.

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