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

We're seeking a Lead Data Analyst - Medical Data to play a critical role in guiding the collection, quality, and analysis of complex medical data that powers industry-leading research, reporting, and ...

As the Data & Research Analyst , you'll build and deliver the research behind those decisions. You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI ...

As the Data & Research Analyst , you'll build and deliver the research behind those decisions. You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI ...

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Junior Data Analyst information

See Boca Raton, FL salary details

$32.7K

$75.3K

$121K

How much do junior data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for junior data analyst in Boca Raton, FL is $75,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,100.00 and $77,300.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Analyst vs Data Scientist?

AspectJunior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related fields; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related fields; advanced programming and statistical skills
Work EnvironmentEntry-level position in data teams; supports data collection, cleaning, and reportingAdvanced role involving complex data modeling, machine learning, and predictive analytics
Employer & Industry UsageCommon in finance, marketing, healthcare, and retail sectorsTypically found in tech, finance, and research-intensive industries

The main difference between a Junior Data Analyst and a Data Scientist lies in their experience, skill level, and responsibilities. Junior Data Analysts focus on data cleaning, basic analysis, and reporting, while Data Scientists handle complex modeling, machine learning, and predictive analytics. Both roles are essential in data-driven organizations, but they require different skill sets and experience levels.

How to get a job as a junior data analyst with no experience?

To secure a junior data analyst position with no experience, focus on building foundational skills in data analysis tools like Excel, SQL, and Python, and complete relevant online courses or certifications. Gaining practical experience through internships, volunteering, or personal projects can also improve your chances and demonstrate your abilities to employers.

Is it worth becoming a junior data analyst in 2026?

A junior data analyst role remains valuable in 2026 as demand for data skills continues to grow across industries. Success typically requires proficiency in tools like Excel, SQL, and data visualization software, along with a foundational understanding of statistics. Entry-level positions can lead to advanced roles with experience and additional certifications.

What are some common challenges faced by junior data analysts when working with large datasets, and how can they effectively overcome them?

Junior Data Analysts often encounter challenges such as data inconsistency, missing values, and handling large volumes of information when working with big datasets. To address these issues, it's important to develop strong data cleaning and preprocessing skills, use efficient data analysis tools like SQL and Python, and regularly collaborate with more experienced team members for guidance. Additionally, documenting your data processing steps and validating results with stakeholders can help ensure accuracy and build confidence in your analyses.

What are the key skills and qualifications needed to thrive as a junior data analyst?

A Junior Data Analyst needs a solid grounding in statistics, data interpretation, and familiarity with data management, usually supported by a bachelor’s degree in a quantitative field. Competence in Excel, SQL, and data visualization tools like Tableau or Power BI, as well as basic programming in Python or R, is often required. Attention to detail, problem-solving abilities, and strong communication skills help analysts effectively interpret data and present insights. These skills are crucial for accurately analyzing data, informing business decisions, and contributing value to teams and organizations.

What does a junior data analyst do?

Junior data analysts work with a team of data analysts to translate data for businesses or government agencies. Data analysts work in many industries, including finance, accounting, health care, pharmaceuticals, technology, and in government agencies. They use algorithms and other tools to help an organization understand different aspects of this data, such as costs, market research, or sales numbers, which will enable them to make better business decisions for the future. A junior data analyst is an entry-level position and will involve seeking and collecting relevant data, as well as documenting the information be processed. Job duties include gathering data, interpreting the statistics, writing reports, and designing charts and graphs.

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 are popular job titles related to Junior Data Analyst jobs in Boca Raton, FL? For Junior Data Analyst jobs in Boca Raton, FL, the most frequently searched job titles are:
What cities near Boca Raton, FL are hiring for Junior Data Analyst jobs? Cities near Boca Raton, FL with the most Junior Data Analyst job openings:
Infographic showing various Junior Data Analyst job openings in Boca Raton, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $75,302 per year, or $36.2 per hour.

Sr. BI Commercial Data Analyst

DHL eCommerce

Weston, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


DHL rating

6.9

Company rating: 6.9 out of 10

Based on 322 frontline employees who took The Breakroom Quiz

35th of 64 rated delivery companies


Job description

Job Brief
The Sr. BI Commercial Data Analyst plays a key role in developing, maintaining, and innovating data analytics reporting solutions within the commercial analytics team. This position will design, develop, and manage Power BI reports and dashboards.
At DHL, our people are our greatest asset! Everyone's contribution drives us to be the world's #1 logistics company.
Certified as a Great Place to Work and as a Top Employer, we're dedicated to fostering a positive, collaborative, and supportive environment for all. Our commitment and engagement with Our People ensure we continuously build a workplace we're all proud of. Plus, with competitive compensation and exceptional perks, we make sure your personal life shines just as brightly as your career.
Summary:
The Sr. BI Commercial Data Analyst plays a key role in developing, maintaining, and innovating data analytics reporting solutions within the commercial analytics team. This position will design, develop, and manage Power BI reports and dashboards by leveraging data analytics skills complemented with expertise in Power BI and a clear understanding of Azure Data Lake. This role will also be responsible for conducting piece level data (PLD) analysis to create customer profiles, working closely with the sales team to understand requirements and delivering accurate, logically sound analytical solutions. This position will support continuous improvement of existing reporting and analytical processes while contributing to broader data analytics projects as required.
Essential Duties & Responsibilities:
  • Design, develop, and publish Power BI reports and templates that are visually intuitive and aligned with end-user needs and business requirements
  • Ensure all commercial Power BI reports are logically sound, mathematically accurate, and free of errors prior to deployment
  • Gather and understand business requirements from stakeholders and translate them into logical, accurate, and user-friendly Power BI reports and dashboards
  • Maintain and monitor all published Power BI reports to ensure minimal downtime and that report logic remains aligned with evolving business requirements
  • Conduct PLD analyses by working closely with the sales team to understand requirements, develop comprehensive solutions, and provide follow-up support to ensure findings are clearly understood
  • Ensure all PLD analytical solutions are logically and mathematically sound, free of errors, and meet the requirements of the requesting stakeholder
  • Proactively identify opportunities to make PLD analyses more comprehensive, insightful, and efficient over time
  • Model and optimize logistics process to support product management via Power BI, Excel, Access and Python or other statistical tools
  • Understand and become subject matter expert on USPS requirements and postal regulation on logistics questions (e.g. product classification, zone pricing, dangerous good, among others.)
  • Support ad-hoc requests from sales and leadership team by providing data driven conclusion and recommendation to help drive product strategy
  • Leverage Azure Data Lake to extract, transform, and analyze large volumes of data to support reporting and analytical needs
  • Support additional data analytics projects across the commercial team as and when required
  • Work both independently and collaboratively within the team to deliver high quality analytical outputs within agreed timelines
  • Perform other duties and special projects as assigned

Education & Experience:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science or a related quantitative field required
  • Master's degree/MBA in Business, Operations, Business Logistics Engineering or a related field preferred.
  • 5 years of related work experience in data analytics, product management, management consulting or data science; 2 to 3 years working knowledge of Microsoft Power BI with good understanding of Azure Data Lake and Data Bricks

Requirements & Skills:
  • Strong analytical, problem solving and quantitative analysis skills
  • Knowledge expert of Microsoft Power BI
  • Knowledge of databases, data analytics and visualization tools (Oracle SQL Developer, Python, Power BI and Tableau)
  • Proficient in Microsoft Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory, and Azure Synapse Analytics for data extraction, transformation, and analysis
  • Strong working knowledge of SQL, PySpark/Python, DAX, and Power Query for data processing and Power BI report development
  • Strong written and verbal communication skills
  • Strong planning, project management and organizational skills
  • Proficient in Excel, PowerPoint, MS Access, Visio
  • High attention to detail & forward thinking
  • Ability to work individually or within a team in a fast-paced environment
  • Ability to lead cross-functional teams and indirectly manage more junior team members

Physical Demands:
  • Business travel as required (<10% of time)
  • Regular sitting at workstation for 25 - 75% of the work shift
  • Frequent standing and walking

As a leading logistics company in one of the fastest growing industries, at DHL eCommerce, we offer our employees, and their dependents benefits and incentives to make them successful at work and home.
  • Competitive Pay
  • Bonus Programs
  • Retirement Savings - 401k with company match
  • Medical, Dental, Vision, Well-being programs
  • FSA/HSA availability
  • Tuition Reimbursement
  • Paid Time Off including vacation and sick time
  • Company Paid Holidays and Floating Holidays
  • Paid Parental Leave
  • Employee Discount Program
  • Employee Assistance & Work Life Program
  • Short Term and Long-Term Disability
  • Life Insurance

We are committed to equal opportunity and reject any forms of discrimination. The basis for employee selection at DHL Group is qualification, performance, skills and experience.
Equal Opportunity Employer - Veterans/Disability

What DHL employees say

Pay

Benefits

Hours and flexibility

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About DHL

Sourced by ZipRecruiter

When Adrian Dalsey, Larry Hillblom and Robert Lynn founded DHL in 1969, they didn’t know they would revolutionize the world of logistics. Today, DHL is the world’s leading logistics company. Our 600,000 people in over 220 countries and territories work every day to help you cross borders, reach new markets and grow your business. Or simply send a letter to your loved ones.

Industry

Transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

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