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Full Time Junior Data Analyst Entry Level Jobs (NOW HIRING)

Jr. Data Analyst

Hollywood, FL · On-site

$62K - $75K/yr

As a Jr. Data Analyst, you will play a crucial role in supporting the data-driven decision-making processes within the organization. Your primary focus will be on collecting, processing, and ...

Job Title Junior Data Analyst Location Springfield, VA 22150 US (Primary) Category Finance Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance Required TS/SCI ...

Junior Data Analyst

Pikesville, MD · On-site

$60K - $80K/yr

The Junior Data Analyst is responsible for designing, developing, and maintaining multifamily ... Position Type: Full Time, M-F Required Education and Experience * Bachelor's degree in Data Science ...

Junior Data Analyst

Washington, DC · On-site

$50K - $52K/yr

Junior Data Analyst Location: Onsite in Washington, DC or remote in these states FL, TN, DE, MO, TX, or GA Job Type: Full-Time | Exempt Salary: $50,000 - $52,000 / year Benefits: This position is ...

Manager, Data Analytics Location: On-Site FLSA Status: Exempt Overview Joining OneRail as a Junior Data Analyst means becoming part of a team focused on turning data into clear, useful reporting that ...

Manager, Data Analytics Location: On-Site FLSA Status: Exempt Overview Joining OneRail as a Junior Data Analyst means becoming part of a team focused on turning data into clear, useful reporting that ...

Junior Data Analyst

Dayton, OH · On-site

$59K - $63K/yr

Lynch Consultants is seeking a Junior Data Analyst to support the Department of the Air Force (DAF) in the National Capital Region on a Financial Improvement and Audit Remediation (FIAR) effort ...

Lynch Consultants is seeking a Junior Data Analyst to support the Department of the Air Force (DAF) in the National Capital Region on a Financial Improvement and Audit Remediation (FIAR) effort ...

Role As a Junior Data Analyst you will be part of the Analytics team at EXOGROUP, which is a highly skilled and qualified department that has diverse responsibilities. Together with the Director of ...

We're looking for dynamic Junior Data Analysts to join our mission! Learn more about us here: * About DealX * Employee Value Proposition * Employee Handbook * Marketing page for our products - What a ...

The Junior Analyst / Developer will provide analytical and instructional support while developing ... data validation, quality checks, and sustainment artifacts · Support analytics handoff and ...

The Junior Analyst / Developer will provide analytical and instructional support while developing ... data validation, quality checks, and sustainment artifacts · Support analytics handoff and ...

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Full Time Junior Data Analyst Entry Level information

See salary details

$34.5K

$79.4K

$127.5K

How much do full time junior data analyst entry level jobs pay per year?

As of Jun 12, 2026, the average yearly pay for full time junior data analyst entry level in the United States is $79,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $81,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Junior Data Analyst Entry Level vs Data Technician?

AspectFull Time Junior Data Analyst Entry LevelData Technician
Required CredentialsBachelor's in Data Science, Statistics, or related fieldAssociate's degree or technical certification in data or IT
Work EnvironmentOffice setting, collaborative teams, data analysis projectsData collection, database management, technical support
Employer & Industry UsageBusiness, finance, healthcare, tech companiesIT firms, data centers, research labs
Common Search & ComparisonOften compared for entry-level data roles with analytical focusCompared for technical data handling and database tasks

Full Time Junior Data Analyst Entry Level typically involves analyzing data sets, creating reports, and supporting decision-making in various industries. Data Technicians focus more on data collection, database management, and technical support. While both roles require technical skills, analysts emphasize interpretation and insights, whereas technicians handle data infrastructure and maintenance.

More about Full Time Junior Data Analyst Entry Level jobs
What cities are hiring for Full Time Junior Data Analyst Entry Level jobs? Cities with the most Full Time Junior Data Analyst Entry Level job openings:
What states have the most Full Time Junior Data Analyst Entry Level jobs? States with the most job openings for Full Time Junior Data Analyst Entry Level jobs include:
What job categories do people searching Full Time Junior Data Analyst Entry Level jobs look for? The top searched job categories for Full Time Junior Data Analyst Entry Level jobs are:
Infographic showing various Full Time Junior Data Analyst Entry Level job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $79,352 per year, or $38.1 per hour.
Jr. Data Analyst

Jr. Data Analyst

BrightStar Credit Union

Hollywood, FL • On-site

$62K - $75K/yr

Full-time

Posted 9 days ago


Job description

About the Role:

As a Jr. Data Analyst, you will play a crucial role in supporting the data-driven decision-making processes within the organization. Your primary focus will be on collecting, processing, and performing basic analyses on data sets to uncover trends and insights that inform business strategies. You will collaborate closely with senior analysts and cross-functional teams to ensure data accuracy and relevance. This role requires a strong attention to detail and the ability to communicate findings clearly to both technical and non-technical stakeholders. Ultimately, your contributions will help optimize operations and drive growth by providing actionable intelligence derived from data.

Minimum Qualifications:

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
  • Proficiency in Microsoft Excel and experience with data visualization tools such as Tableau or Power BI.
  • Basic knowledge of SQL for querying databases.
  • Strong analytical and problem-solving skills with attention to detail.
  • Effective written and verbal communication skills.

Preferred Qualifications:

  • Experience with programming languages such as Python or R for data analysis.
  • Familiarity with statistical methods and predictive modeling techniques.
  • Previous internship or work experience in a data analysis or business intelligence role.
  • Understanding of data warehousing concepts and ETL processes.
  • Knowledge of cloud-based data platforms such as AWS or Azure.

Responsibilities:

  • Collect, clean, and validate data from various internal and external sources to ensure accuracy and completeness.
  • Perform exploratory data analysis to identify patterns, trends, and anomalies.
  • Create and maintain reports and dashboards to visualize key performance indicators and business metrics.
  • Assist in the development of data models and support senior analysts in complex data projects.
  • Communicate analytical findings effectively to team members and stakeholders through presentations and written reports.
  • Collaborate with IT and data engineering teams to improve data collection and storage processes.
  • Stay updated on industry best practices and emerging tools in data analysis.

Skills:

The required skills such as proficiency in Excel and SQL are used daily to manipulate and query data sets, ensuring data integrity and extracting meaningful information. Data visualization skills enable the creation of clear and insightful dashboards and reports that support decision-making. Strong analytical skills help in interpreting data trends and identifying opportunities or issues within business operations. Preferred skills like Python or R programming enhance the ability to automate data processing and perform more advanced statistical analyses. Communication skills are essential for translating complex data findings into understandable insights for diverse audiences, fostering collaboration across departments.