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Entry Level Data Analyst Jobs in Springfield, VA

We are actively looking for Entry level QA/BA Analyst position for our clients throughout USA ... Created Test Data specification document for the application covering the associated interfaces ...

We are actively looking for Entry level QA/BA Analyst position for our clients throughout USA ... Created Test Data specification document for the application covering the associated interfaces ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

They are actively looking for an Entry Level QA/BA Analyst to manage all phases of the Software ... Data specification document for the application covering the associated interfaces, test cases and ...

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Entry Level Data Analyst information

See Springfield, VA salary details

$13

$34

$64

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

As of Sep 13, 2026, the average hourly pay for entry level data analyst in Springfield, VA is $34.39, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $38.41 per hour, depending on experience, location, and employer.

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 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 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.

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 the most commonly searched types of Data Analyst jobs in Springfield, VA?

The most popular types of Data Analyst jobs in Springfield, VA are:

What are popular job titles related to Entry Level Data Analyst jobs in Springfield, VA?

For Entry Level Data Analyst jobs in Springfield, VA, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst jobs in Springfield, VA look for?

The top searched job categories for Entry Level Data Analyst jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Entry Level Data Analyst jobs?

Cities near Springfield, VA with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Springfield, VA as of September 2026, with employment types broken down into 56% Full Time, 23% Part Time, and 21% Contract. Highlights an 100% In-person job distribution, with an average salary of $71,537 per year, or $34.4 per hour.

Junior Data Scientist with BI Skills

College Park, MD • On-site

SynergisticIT
IT Services • 11 - 50 employees

$90K - $120K/yr

Full-time

Posted 24 days ago


Job description

Junior Data Scientist — Move From ML Courses to Real Job Readiness
Have you completed courses in Python, machine learning, statistics, or data science but still feel unsure about applying for jobs? Many candidates know the theory behind models, but employers want to see whether you can clean data, explore datasets, choose the right model, evaluate results, explain tradeoffs, and communicate findings in a business-friendly way.
SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL, machine learning, statistics, data visualization, model evaluation, NLP, predictive analytics, and applied AI concepts. This opportunity is ideal for candidates who want to move beyond tutorials and create a stronger, more employer-ready profile.
Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now.
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates
Ideal Candidates:
  • Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience
  • Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack
  • Professionals seeking a career switch to tech
  • Candidates with career gaps or lacking real-world experience
  • Individuals looking to boost their skill portfolio for better job prospects
  • Computer Science grads with limited or no job experience
  • Students who recently finished their Bachelor's or Master's programs
  • Those struggling to land interviews despite having experience
please read our blogs
  • Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/
  • Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/

Please check below links:
Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl
USA Today feature
Explore JOPP: https://www.synergisticit.com/jopp/
Contact: https://www.synergisticit.com/contact-us/
SynergisticIT JOPP is good for aspiring data scientists because it helps candidates connect learning with hiring expectations. The program's placement-focused approach supports practical skill development, project work, interview preparation, and profile positioning so candidates can better compete in a crowded data science market.
Build the confidence, projects, and preparation needed for data science opportunities— Contact us
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

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About SynergisticIT

Sourced by ZipRecruiter

SynergisticIT is a reputable company based in Fremont, California, United States, operating within the prestigious technology industry. The company primarily focuses on tech staffing and IT services, taking pride in mastering the art of procuring the top talents in the industry to meet the diverse needs of its clients. While a testament to its long-standing commitment to excellent service, SynergisticIT was established in 2010, confirming its vast wealth of experience in addressing various tech-related challenges over the years. Their mission revolves around a singular operative phrase: “Understanding follows knowledge”. In line with this, they continually strive to garner more knowledge and understanding about the needs of their clients, thereby providing more personalized and effective solutions.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Fremont, CA, US

Year founded

2010