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

Capture, analyze, document, and review software requirements, design artifacts, source code, and ... Citizen (required due to handling of restricted technical data). Nice to Have/Preferred:

... entry-level experience acceptable). * Education : Bachelor's degree in Finance, Accounting ... Support KAMs with data gathering, ad hoc reporting, and performance tracking. * Maintain volume ...

... entry-level experience acceptable). * Education : Bachelor's degree in Finance, Accounting ... Support KAMs with data gathering, ad hoc reporting, and performance tracking. * Maintain volume ...

... entry-level experience acceptable). * Education : Bachelor's degree in Finance, Accounting ... Support KAMs with data gathering, ad hoc reporting, and performance tracking. * Maintain volume ...

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Backend Java Developer

West Palm Beach, FL · On-site

$48.75 - $63.25/hr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply ...

This is a key entry-level position that can lead to a career in supply chain management or provide ... Champion integrity of data in Material Requirement Planning (MRP) system * Maintain safety stock ...

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Entry Level Data Analyst information

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

As of Jun 27, 2026, the average hourly pay for entry level data analyst 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.

Is 40 too late for data science?

Entry level data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are more important than age. Many professionals start new careers later in life by gaining relevant certifications and building a portfolio of projects.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

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

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational 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.

Is it hard to get hired as a data analyst?

Entry level data analyst positions can be competitive, but having relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau or Power BI can improve your chances. Employers often look for a bachelor's degree in a related field and some experience with data analysis projects or certifications. Persistence and continuous skill development are important for securing an entry-level role.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Is AI replacing data analysts?

AI tools are automating certain repetitive tasks in data analysis, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing context. Entry level data analysts need to develop skills in data visualization, programming, and understanding AI capabilities to stay relevant in the evolving job market.

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 strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
What are the most commonly searched types of Data Analyst jobs in Boca Raton, FL? The most popular types of Data Analyst jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Entry Level Data Analyst jobs? Cities near Boca Raton, FL with the most Entry Level Data Analyst job openings:
Entry Level HRIS Analyst

Entry Level HRIS Analyst

Octagon Talent

Fort Lauderdale, FL

Full-time

Posted 27 days ago


Job description

Octagon Talent Solutions is a full-service technology recruitment and staffing company based in South Florida. We humanize technical recruitment by identifying candidates' long-term career goals and assessing cultural fit when presenting opportunities. Our focus on long-term relationships helps ensure placements that last.


Are you a detail-oriented professional with a passion for technology and HR processes? Octagon Talent Solutions is seeking a dedicated HRIS Analyst to join our team in Miami or Fort Lauderdale, FL, where you'll leverage your technical expertise and leadership skills to optimize our HRIS environment. This role ensures accurate payroll, time tracking, and project management, contributing to the company's overall efficiency and success.


Responsibilities:

  • HRIS Management:
  • Collaborate with Payroll, HR, HRIS, Accounting, and Finance teams to understand business needs and manage HRIS implementations.
  • Assess requirements, provide strategic recommendations, and design user-friendly solutions.
  • System Testing and Enhancement:
  • Lead system testing for upgrades, patches, and new Workday releases.
  • Conduct regression testing and implement improvements to ensure alignment with business objectives.
  • User Training and Reporting:
  • Train internal team members and end-users on new processes and functionalities.
  • Develop and communicate changes and benefits to users.
  • Create, edit, and prepare reports and dashboards with Accounting, Payroll, and HR teams.
  • Job Costing Integration and Data Integrity:
  • Ensure accurate job costing for construction and solar projects through coordination with financial controllers and payroll administrators.
  • Troubleshoot and resolve integration issues to maintain data integrity.


HR Process Enhancement and User Experience:

  • Compliance and Vendor Liaison:
  • Support audits, certifications, and compliance requirements.
  • Implement and troubleshoot system integrations, particularly with payroll and benefits vendors.
  • Act as a liaison between the company and external vendors, ensuring alignment with construction timelines and workforce management.
  • Team Member Support Governance:
  • Track, monitor, and resolve payroll, absence, time tracking, and job costing cases effectively.
  • Collaborate with business process owners on complex or high-priority cases.
  • Monitor SLA compliance and recommend corrective actions to meet performance targets.
  • Define and maintain KPIs to evaluate service effectiveness.
  • Generate regular reports and dashboards to provide visibility into service performance.
  • Technical Expertise:
  • Proficient in configuring HRIS for payroll, time tracking, projects, and general ledger interface.
  • Experience with ADP, Oracle, SAP, and Kronos systems is a plus.
  • HR and Payroll Experience:
  • Thorough understanding of HR processes, payroll systems, and accounting principles.
  • Ability to communicate complex concepts effectively.
  • Problem-Solving Skills:
  • Detail-oriented individual who enjoys data analysis and continuous system improvement.
  • Cross-Functional Leadership:
  • Capable of leading across departments to ensure accurate time tracking and payroll processes.
  • Cultural Fit:
  • Aligned with company values, personable, and contributes positively to a growth-oriented culture.


Qualifications:

  • Strong technical background in finance and accounting, especially in Workday modules like payroll, absence, and time tracking.
  • Effective communication and collaboration skills.
  • Practical experience with high-volume hourly labor industries.
  • Workday integration experience and certification are preferred but not required.
  • Experience configuring Workday modules and integrating third-party applications.


Accurate HRIS Time Tracking:

  • Accurate Client Billing: Ensures precise invoicing and revenue recognition
  • Financial Reporting and Compliance: Facilitates accurate and compliant financial reports.
  • Resource Allocation and Project Management: Optimizes resource distribution and project efficiency.
  • Employee Productivity and Utilization: Enhances employee performance tracking and utilization.
  • Reducing Manual Errors: Minimizes errors through automated processes.
  • Client Trust and Satisfaction: Consistent and reliable service delivery builds client confidence.
  • Operational Efficiency: Streamlines operations, driving overall efficiency.