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Entry Level Data Analyst With No Degree Jobs in Boca Raton, FL

Data Analyst Location: Palm Beach Garden, FL Advance your career with Mindlance! We have been connecting talented IT professionals with world-class companies since 1999. Mindlance is here to help you ...

We partner with promising edtech companies, evaluate their effectiveness, and use those insights to support investment, growth, and go-to-market decisions. As the Data Analyst Researcher , you'll ...

We partner with promising edtech companies, evaluate their effectiveness, and use those insights to support investment, growth, and go-to-market decisions. As the Data Analyst Researcher , you'll ...

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Entry Level Data Analyst With No Degree information

See Boca Raton, FL salary details

$12

$31

$58

How much do entry level data analyst with no degree jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for entry level data analyst with no degree 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.

Can I become an entry level data analyst without a degree?

Yes, it is possible to become an entry level data analyst without a formal degree. Many employers value practical skills, such as proficiency in Excel, SQL, and data visualization tools, as well as analytical thinking and problem-solving abilities. Building a portfolio of projects, completing online courses, and obtaining relevant certifications can greatly improve your chances of landing a data analyst role. Networking and participating in internships or volunteer projects can also help you gain experience and stand out to employers.

What are the key skills and qualifications needed to thrive as an entry level data analyst with no degree?

To thrive as an Entry Level Data Analyst without a degree, you need a solid understanding of data analysis fundamentals, proficiency in Excel or Google Sheets, and basic knowledge of statistics. Familiarity with tools like SQL, Tableau, or Power BI, and completion of relevant online certifications (such as Google Data Analytics Certificate) are typically expected. Strong analytical thinking, attention to detail, and effective communication help you interpret data and share insights with stakeholders. These skills and qualifications are crucial for accurately analyzing data, supporting business decisions, and demonstrating value to employers despite a non-traditional educational path.

What opportunities for career advancement are available to entry level data analysts without a degree?

Entry-level data analysts without a degree can often advance by building strong technical skills, such as proficiency in Excel, SQL, and data visualization tools, and by demonstrating analytical thinking and problem-solving abilities. Many organizations value hands-on experience and may offer internal training, mentorship programs, or support for professional certifications. By taking on more complex projects, collaborating with cross-functional teams, and continuously learning, entry-level analysts can progress to mid-level or specialized data roles. Additionally, showcasing results and contributing to business insights can lead to increased responsibilities and promotions.

What is the difference between Entry Level Data Analyst With No Degree vs Data Technician?

AspectEntry Level Data Analyst With No DegreeData Technician
Required CredentialsOften no degree required; may need certifications in Excel, SQL, or data toolsTypically no degree; technical certifications or training preferred
Work EnvironmentOffice or remote; analytical and reporting tasksData entry, database management, technical support
Industry UsageBusiness, finance, marketing, healthcareIT, telecommunications, data management
Search & Comparison IntentUnderstanding entry-level roles in data analysis without a degreeClarifying roles related to data management and technical support

Entry Level Data Analyst With No Degree and Data Technician roles share similarities in requiring minimal formal education and focusing on technical skills. However, data analysts primarily interpret data and generate reports, while data technicians handle data entry and database maintenance. Both roles are vital in data-driven industries, but they serve different functions within organizations.

Can you get hired as an entry level data analyst with no degree?

Yes, entry-level data analyst positions often do not require a degree if candidates have relevant skills such as proficiency in Excel, SQL, or data visualization tools like Tableau. Employers may prioritize practical experience, certifications, and a strong understanding of data concepts over formal education for these roles.

Is data analyst hard to get a job with no experience?

Entry-level data analyst positions often require some knowledge of data tools like Excel, SQL, or Python, but many employers are willing to hire candidates with no formal experience if they demonstrate strong analytical skills and a willingness to learn. Building a portfolio of projects or earning certifications can improve chances of securing a role without prior experience.

What are popular job titles related to Entry Level Data Analyst With No Degree jobs in Boca Raton, FL?

For Entry Level Data Analyst With No Degree jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst With No Degree jobs in Boca Raton, FL look for?

The top searched job categories for Entry Level Data Analyst With No Degree jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Entry Level Data Analyst With No Degree jobs?

Cities near Boca Raton, FL with the most Entry Level Data Analyst With No Degree job openings:

Infographic showing various Entry Level Data Analyst With No Degree job openings in Boca Raton, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $64,992 per year, or $31.2 per hour.

Assoc Analyst, Data Analytics

Boca Raton, FL • On-site


Canon U.S.A., Inc.
Electronics and Appliance Stores • 10K+ employees

7.7

Company rating: 7.7 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

79th of 159 rated electronics manufacturers

People enjoy working here

Good employer

Recommended by parents


$54K - $81K/yr

Full-time

Posted 7 days ago


Job description

About the Role
Researches, plans, and evaluates the effectiveness of artificial intelligence models, automated systems, and data-driven methodologies through the rigorous review of detailed operational metrics. As an
entry-level professional working towards proficiency, this role utilizes professional education in data science or related technology fields to identify, analyze, and resolve technical bottlenecks while
interpreting company policies on data governance and AI ethics. The position operates under general instruction from managers regarding expected project outcomes, exercises good judgment in day-to-day
algorithmic evaluations, and typically reports to a Manager or a senior AI individual contributor when business needs dictate.
Responsible for providing strategic and tactical support to the organization by leveraging AI-powered data hygiene and automated matching tools to analyze, maintain, and cleanse complex data across
Oracle, Dun &Bradstreet, ZoomInfo, and Salesforce.com databases. Additionally, provides advanced analytical support to Canon Solutions America Sales Leadership and Branch Administration teams by
integrating machine learning models, predictive analytics, and intelligent forecasting platforms into territory analysis to optimize prospect viability scoring, establish territory equity, and drive data-backed quota development.
This role requires you to live within a reasonable commuting distance to Boca Raton, Fl so that you can adequately execute your job responsibilities.
Your Impact
-Data Management, Operations & AI Responsibilities
Performs data analysis with regard to client requests and develop rules/methodologies for effective data management.
Extracts, analyze, massage, cleanse and update data from Oracle, Dun & Bradstreet, ZoomInfo, Salesforce.com and CSA web site analytics on a routine basis.
Uses machine learning models to automatically detect, flag, and fix duplicate or corrupted records across Salesforce and Oracle.
Analysis and validation of new Prospect records entered by sales into Salesforce.com.
Implements AI algorithms to score and rank incoming prospect data from ZoomInfo and Dun & Bradstreet based on conversion potential.
Participates in ongoing decisions concerning data collections, methodology, best practices for ensuring accurate and clean data.
Effectively creates/runs reports and performs data extracts as requested by the business in a timely manner.
Employs generative AI tools to turn complex data extracts into plain-language summaries for company management.
Analyzes data with standard statistical methods, interpret results and present results to company management as requested.
Maintains data integration between Salesforce.com and Oracle applications.
Evaluates and maintains integrations between traditional databases and emerging AI data platforms to reduce manual work.
Liaison with 3rd party vendors like Dun & Bradstreet to analyze and maintain data worthiness.
Maintains Sales Territories, Hierarchies and Resources in appropriate systems.
Effectively analyze Sales Territories to help Market Leaders develop their sales coverage plan.
Leverages AI forecasting models to help market leaders build smarter sales coverage plans and spot market trends.
Accountable for maintaining a high level of customer service.
About You: The Skills & Expertise You Bring
- Bachelor's degree in a relevant field or equivalent experience required, plus 0 to 2 years of related experience.
- Have a strong knowledge of Microsoft Office, Excel, Access, and Power BI applications.
- Be detail oriented, articulate, and well-organized.
- Possess strong communication, troubleshooting and follow-up skills.
- Prefer knowledge of Oracle & Saleforce.com.
- Utilize project management and reporting skills to assist with departmental projects.
- Ability to meet strict deadlines and work effectively under pressure
- Exhibit a basic understanding of financial and accounting statements and concepts
- Must have the business acumen to work with technical and non-technical colleagues, sales personnel, various level of sales management and executive staff.
We are providing the anticipated base salary range for this role: $54,460-81,550 annually
Company Overview
About our Company -#CUSA
Workstyle Description
Hybrid - This position is full time and offers a hybrid work schedule requiring you to be in the office three days a week and an option to work from home the remainder of the week (unless a specific business need arises requiring in office attendance on other days). Note that work schedules and office reporting requirements may change from time to time based on business needs.
Posting Tags
#li-rb1 #pm19


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