2

Entry Level Data Analysis Jobs in Boca Raton, FL

... data sets for studies and back-testing. * Build libraries and applications for trading and risk analysis with an emphasis on stability, testability and clarity. * Ensure that strategies are deployed ...

... data sets for studies and back-testing. * Build libraries and applications for trading and risk analysis with an emphasis on stability, testability and clarity. * Ensure that strategies are deployed ...

... entry level. Examples of Work Performed * Assists in conducting financial audits, operational ... Ability to collect, analyze, and interpret data * Ability to plan, organize, and coordinate work ...

... analyzing the geophysical data, and provide interpretation of results. These results are ... Be responsible for maintaining high-quality standards on all projects. * Entry-level Geophysicist ...

... analyzing the geophysical data, and provide interpretation of results. These results are ... Be responsible for maintaining high-quality standards on all projects. * Entry-level Geophysicist ...

... analyzing the geophysical data, and provide interpretation of results. These results are ... Be responsible for maintaining high-quality standards on all projects. * Entry-level Geophysicist ...

... analyzing the geophysical data, and provide interpretation of results. These results are ... Be responsible for maintaining high-quality standards on all projects. * Entry-level Geophysicist ...

Sr. Accountant

Fort Lauderdale, FL · On-site

$70K - $85K/yr

... data. • Assist with 1099 tracking and supporting documentation to help ensure complete and ... entry-level staff and contributing to process improvement efforts.

next page

Showing results 1-20

Entry Level Data Analysis information

See Boca Raton, FL salary details

$12

$31

$58

How much do entry level data analysis jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for entry level data analysis in Boca Raton, FL is $31.25, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $34.90 per hour, depending on experience, location, and employer.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

How to get hired as an entry-level data analyst?

To get hired as an entry-level data analyst, candidates should develop foundational skills in data analysis tools like Excel, SQL, and Python or R, and build a portfolio of relevant projects. Earning certifications such as Microsoft Data Analyst Associate or Google Data Analytics can improve prospects, along with gaining internship experience or completing relevant coursework. Strong communication skills and the ability to interpret data for non-technical audiences are also important.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

Is 40 too late for data science?

Entry level data analysis roles are accessible at any age, including at 40 or older. Success depends on acquiring relevant skills such as proficiency in Excel, SQL, and data visualization tools, as well as building a strong portfolio and gaining practical experience. Age is less important than skills, continuous learning, and adapting to industry tools and methods.

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 knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

Is AI replacing data analysts?

AI tools are automating certain repetitive tasks in data analysis, such as data cleaning and basic reporting, but they do not replace the need for skilled data analysts. Entry-level data analysis roles still require critical thinking, domain knowledge, and interpretation skills that AI cannot fully replicate. Professionals who develop expertise in data visualization, programming, and statistical methods remain valuable in the field.

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

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Boca Raton, FL? The most popular types of Data Analysis jobs in Boca Raton, FL are:
What are popular job titles related to Entry Level Data Analysis jobs in Boca Raton, FL? For Entry Level Data Analysis jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analysis jobs in Boca Raton, FL look for? The top searched job categories for Entry Level Data Analysis jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Entry Level Data Analysis jobs? Cities near Boca Raton, FL with the most Entry Level Data Analysis job openings:
Infographic showing various Entry Level Data Analysis job openings in Boca Raton, FL as of June 2026, with employment types broken down into 57% Full Time, 21% Part Time, 4% Temporary, and 18% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $64,992 per year, or $31.2 per hour.

Quantitative Developer

Quanta Search

West Palm Beach, FL • On-site

Other

Posted yesterday


Job description

Our client is a well-established andprosperous asset management firm. TheirTechnology Department is seeking an entry level developer to join its team. The position reports to the Lead Developer and is an integral part of the research, development and deployment of the quant group's trading and risk systems.The qualified candidate will have opportunity to leverage their skills as a data scientist to work on technically challenging and rewarding projects.Job Responsibilities
As a Quantitative Developer you will be responsible for but not limited to the following:
  • Assist in identifying, cleaning and curating alpha generating data sets for studies and back-testing.
  • Build libraries and applications for trading and risk analysis with an emphasis on stability, testability and clarity.
  • Ensure that strategies are deployed efficiently and monitored effectively. through a deep understanding of Linux and dev-ops and attention to detail
  • Maintain existing risk analysis and reporting systems
  • Assist with other projects as needed
Qualifications & RequirementsThe successful candidate will have the following qualifications & requirements:Behavior:
  • Demonstrated creativity in coding to solve interesting problems
  • Demonstrated independent thought and ability to defend position
  • Can work independently as well as with a team
  • Detail oriented
Technical:
  • Minimum of bachelor's degree in Computer or Data Sciences from an accredited school
  • Intermediate knowledge of Python 3.x: Familiarity with pandas and NumPy are highly desirable.
  • Intermediate understanding of Linux with specific experience using Linux file systems, developing code in a terminal environment and reading/writing Bash
  • Ability to read and write SQL queries and familiarity with SQL concepts like views, stored procedures and common table expressions.
  • Basic understanding of GIT
  • Basic understanding of probability and random variables. Basic understanding of linear regression and forecasting.