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Entry Level Data & Analytics Jobs in Virginia (NOW HIRING)

Accountant

Fairfax, VA ยท On-site

$68K/yr

Gathers and analyzes data to support financial analysis and reporting and prepare related journal entries with schedules (including but not limited to debt service); * Assists with monthly, quarterly ...

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 ...

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 ...

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 ...

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Showing results 1-20

Entry Level Data Analytics information

See Virginia salary details

$32.7K

$80.8K

$138.8K

How much do entry level data & analytics jobs pay per year?

As of Jul 14, 2026, the average yearly pay for entry level data & analytics in Virginia is $80,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $95,700.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of an Entry Level Data & Analytics professional?

As an Entry Level Data & Analytics team member, your daily tasks often involve gathering, cleaning, and preparing datasets, conducting basic analyses, and creating data visualizations to help explain findings. You'll frequently collaborate with senior analysts or managers, supporting ongoing projects by generating reports or troubleshooting data issues. This role also requires you to communicate your insights to both technical and non-technical colleagues, so clear documentation and presentation skills are valuable. Over time, you'll gain exposure to more complex analytical work and opportunities to specialize as you grow in your career.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI can handle repetitive work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Entry level data analysts should develop skills in data visualization, programming, and AI tools to stay relevant in this evolving field.

What are the key skills and qualifications needed to thrive in the Entry Level Data & Analytics position, and why are they important?

To thrive as an Entry Level Data & Analytics professional, you need a basic understanding of statistics, data analysis, and data visualization, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with analytical tools such as Excel, SQL, Python, or Tableau, and any relevant certifications (like Google Data Analytics or Microsoft Excel certification) are often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate data insights into actionable recommendations for stakeholders. These competencies are crucial for ensuring accurate data interpretation and meaningful contributions to business decision-making.

Is 40 too late for data science?

Entry level data and analytics roles are accessible at any age, including at 40, especially with relevant skills like programming, statistics, and tools such as SQL or Python. Many professionals transition into data science later in their careers, and continuous learning or certifications can help improve job prospects regardless of age.

How can I get into data analytics with no experience?

Entry level data and analytics roles often require foundational skills in Excel, SQL, or data visualization tools like Tableau. Gaining relevant knowledge through online courses, certifications, or personal projects can help demonstrate your abilities to employers without prior work experience.

What is an Entry Level Data & Analytics job?

An Entry Level Data & Analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Responsibilities may include cleaning datasets, creating reports, and using tools like Excel, SQL, or Python to extract insights. These roles often require strong analytical thinking, attention to detail, and proficiency in data visualization tools. Entry-level employees typically work under the guidance of senior analysts or data scientists to develop skills and gain industry experience.

Do entry-level data analyst jobs exist?

Yes, entry-level data analyst jobs are widely available and typically require basic skills in data analysis tools like Excel, SQL, or Python. These roles often focus on data collection, cleaning, and reporting, making them accessible to recent graduates or those transitioning into data careers.
What are the most commonly searched types of Data & Analytics jobs in Virginia? The most popular types of Data & Analytics jobs in Virginia are:
What job categories do people searching Entry Level Data & Analytics jobs in Virginia look for? The top searched job categories for Entry Level Data & Analytics jobs in Virginia are:
What cities in Virginia are hiring for Entry Level Data & Analytics jobs? Cities in Virginia with the most Entry Level Data & Analytics job openings:
Infographic showing various Entry Level Data & Analytics job openings in Virginia as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $80,819 per year, or $38.9 per hour.
Associate (Entry-Level) Technical Developer/Enterprise Software Consultant-S Based Only

Associate (Entry-Level) Technical Developer/Enterprise Software Consultant-S Based Only

Metaformers

Reston, VA โ€ข On-site

Part-time

Re-posted 15 days ago


Job description

Associate (Entry-Level) Technical Development Consultant/Enterprise Software - Business Processes
Candidates must have foundational knowledge in SQL, Visual Basics, Java, Python or similar language skills required, including experience with database queries, stored procedures, performance tuning, and coding.SQL skill assessment is part of our interview process.
Key Role- Within our business consulting team this is a key role involved in analyzing business requirements, configuring software, and providing technical support for successful implementation projects for our clients. Qualified candidates will have chosen a career path with an interest in consulting, process improvement, and enterprise software development for businesses.
Metaformers Inc. (Meta) is a leading provider of ERP consulting services (PeopleSoft and Oracle Cloud), helping organizations streamline operations, adopt best-in-class technology, and unlock long-term value. We combine deep industry expertise with modern digital transformation practices. Our team thrives on collaboration, continuous learning, and building future leaders within the consulting profession.
We are looking for a motivated and detail-oriented recent college graduate to join our ERP consulting team as an Entry-Level ERP Technical Consultant. This role is ideal for someone with strong technical skills who is eager to learn the consulting side of ERP implementations. You'll participate in system configuration, data analysis, development of integrations and reports, testing, and client support-while developing leadership capabilities essential for future project lead or solution architect roles.
Must be US based and sponsorship is not available for this position.
Key Responsibilities:
Assist the functional team with configuration, testing, and deployment of ERP solutions (PeopleSoft and Oracle Cloud).
Work with your functional counterparts to create technical specifications for technical components of the implementation (i.e. integration with 3rd party systems, reports, and rules that require coding).
Build code for rules, system integrations, data conversions, reports, and workflow design.
Perform testing, troubleshoot system issues, and implement fixes.
Collaborate with project team members and client stakeholders to deliver successful project outcomes.
Prepare documentation, educational materials, and presentations for internal and client-facing use.
Demonstrate leadership by taking ownership of assigned tasks, communicating proactively, and contributing ideas for process improvement.
Qualifications:
โ€ขBachelor's degree in: Management Information Systems (MIS), Business Technology, Enterprise Information Systems/ERP Software Development, or a related field combining technology and business.
โ€ขFoundational knowledge in SQL, Visual Basics, Java, Python or similar language skills required, including experience with database queries, stored procedures, performance tuning, and coding.
โ€ขA SQL skills assessment is part of the interview process.
โ€ขDemonstrated leadership skills through internships, campus activities, project teams, or part-time roles.
โ€ขExcellent problem-solving abilities and strong attention to detail.
โ€ขAbility to communicate complex technical concepts to non-technical stakeholders.
โ€ขAn interest in consulting, process improvement, and enterprise software.
Preferred (Not Required):
Exposure to ERP systems through coursework, internships, or hands-on projects.
Familiarity with business processes (finance, supply chain, HR, operations).
Experience with data tools, integration concepts, or cloud platforms.
No sponsorship available
No staffing firms/third party
Submit your resume, cover letter, and any relevant project or portfolio links.
Metaformers is an Equal Opportunity Employer.Metaformers does not discriminate in employment based on race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.