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Entry Level Data Analyst Jobs in Springfield, VA

ROCS Grad Staffing

Office Assistant (Entry Level)

Reston, VA · On-site

$17.75 - $24.25/hr

Some data entry / processing that pertains to specific accounts Qualifications of Entry-Level ... Highly analytical * Possess an entrepreneurial spirit * Strong, flexible, and creative problem ...

NS IT Solutions LLC

Entry Level BA

Herndon, VA

Additional Information Our core expertise is in Quality Assurance, Business Analysis, Data Analysis. Fresh College Graduates may also apply provided they are eligible to work in the US. All your ...

NS IT Solutions LLC

Entry Level BA

Herndon, VA · On-site

Additional Information Our core expertise is in Quality Assurance, Business Analysis, Data Analysis. Fresh College Graduates may also apply provided they are eligible to work in the US. All your ...

Climate United FUND

Analyst, Compliance

Bethesda, MD · On-site +1

$60K - $70K/yr

... Analyst for an entry level position to support adherence to regulatory requirements and ... Familiarity with file management systems and data analytics tools * Knowledge of relevant federal ...

Chenega MIOS

Logistics Analyst II

Lorton, VA · On-site

Data mining and analysis * Knowledge of ILS Principles * Mechanical and/or electrical aptitude ... From entry-level employees to senior leaders, we believe theres always room to learn. We offer ...

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All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Springfield, VA

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 Jul 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.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

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

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

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.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior 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.
More about Entry Level Data Analyst jobs
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:
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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:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Springfield, VA as of July 2026, with employment types broken down into 52% Full Time, 11% Part Time, 6% Temporary, and 31% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $71,537 per year, or $34.4 per hour.
Data Scientist Junior-Level 117-005

Data Scientist Junior-Level 117-005

IC-CAP LLC

Springfield, VA • On-site

Full-time

Re-posted 18 days ago

Job description

Junior-Level Data Scientistsupports NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned. Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle. Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government. Enhance technical solutions to problems related to intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. Conduct extensive collections and analytic modeling, data processing, and data mining. Conduct gap analysis on existing technologies and processes. Provide communication to customers on the progress of projects, processes, and emerging technologies as they become available. Clearly communicate data-driven findings and automation to technical and non-technical audiences. Design, integrate, and maintain Bayesian Belief Network (BBN) processes that utilize automation tools or scripts to drive predictive, activity-based automated collection. Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology. Train and integrate new tools, processes, and capabilities to be used in collection orchestration. Provide support for emerging requirements as assigned by the Government.
Implementing, part of team, executing tasks. These are still developmental labor positions. Services requiring junior level support will require a person to have slightly more experience than a full entry level while performing slightly more advanced skills than per an entry level. Understands and applies more advanced concepts and processes to tasks.
Education and Experience
Required:
  • Minimum of 3 years of experience -OR- Bachelor degree in STEM field
  • Proficient with Python and SQL

Desired
  • Knowledge of GEOINT collection and associated NGA/NRO systems
  • Proficiency with common programming languages including R, JavaScript, HTML, and CSS
  • Experience leveraging object oriented programming
  • Proficiency with visualization tools such as Grafana, Tableau, and Kibana
  • Ability to learn new technologies, adapt to dynamic mission needs, and develop/test new analytic methodologies

Security Clearance:
  • Active TS/SCI and the willingness to sit for a polygraph, if needed

IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.

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