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Entry Level Data Analysis Jobs in Reston, VA (NOW HIRING)

trimarkusa

Pricing Administrator

Hyattsville, MD · Hybrid

This entry-level position is designed for individuals who are eager to learn and contribute to the ... Data Analysis: * Collect and analyze data related to supply chain activities to identify trends ...

trimarkusa

Pricing Administrator

Hyattsville, MD · Hybrid

This entry-level position is designed for individuals who are eager to learn and contribute to the ... Data Analysis: * Collect and analyze data related to supply chain activities to identify trends ...

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 ...

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 ...

Goldbelt, Inc.

Consultant/Analyst I

Washington, DC · On-site

$75K - $95K/yr

Summary: We are seeking an entry-level Consultant/Analyst 1 to support the United States Coast ... Proficiency in Microsoft Office Suite and basic data analysis tools. Minimum Qualifications:

Cp Marine Llc

Consultant/Analyst I

Washington, DC · On-site

$75K - $95K/yr

Summary: We are seeking an entry-level Consultant/Analyst 1 to support the United States Coast ... Proficiency in Microsoft Office Suite and basic data analysis tools. Minimum Qualifications:

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All JobsEntry Level Data Analysis JobsEntry Level Data Analysis Jobs in Reston, VA

Entry Level Data Analysis information

See Reston, VA salary details

$13

$34

$64

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

As of Jun 21, 2026, the average hourly pay for entry level data analysis in Reston, VA is $34.26, according to ZipRecruiter salary data. Most workers in this role earn between $22.02 and $38.27 per hour, depending on experience, location, and employer.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

How to get hired as an entry-level data analyst?

To get hired as an entry-level data analyst, candidates should develop foundational skills in data analysis tools like Excel, SQL, and Python or R, and build a portfolio of relevant projects. Earning certifications such as Microsoft Data Analyst Associate or Google Data Analytics can improve prospects, along with gaining internship experience or completing relevant coursework. Strong communication skills and the ability to interpret data for non-technical audiences are also important.

Can I be a data analyst with no 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 is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

Is 40 too late for data science?

Entry level data analysis roles are accessible at any age, including at 40 or older. Success depends on acquiring relevant skills such as proficiency in Excel, SQL, and data visualization tools, as well as building a strong portfolio and gaining practical experience. Age is less important than skills, continuous learning, and adapting to industry tools and methods.

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 foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

Is AI replacing data analysts?

AI tools are automating certain repetitive tasks in data analysis, such as data cleaning and basic reporting, but they do not replace the need for skilled data analysts. Entry-level data analysis roles still require critical thinking, domain knowledge, and interpretation skills that AI cannot fully replicate. Professionals who develop expertise in data visualization, programming, and statistical methods remain valuable in the field.

What is the difference between Entry Level Data Analysis vs Data Analyst?

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are popular job titles related to Entry Level Data Analysis jobs in Reston, VA? For Entry Level Data Analysis jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analysis jobs in Reston, VA look for? The top searched job categories for Entry Level Data Analysis jobs in Reston, VA are:
What cities near Reston, VA are hiring for Entry Level Data Analysis jobs? Cities near Reston, VA with the most Entry Level Data Analysis job openings:
Entry Level Data Analysis jobs near you

Pricing Administrator

trimarkusa

Hyattsville, MD • Hybrid

Other

Medical, Dental, Vision, Retirement

Posted 10 days ago

Job description

Why you’ll love it here!

+ Benefits include Medical, Dental, Vision, Tuition Reimbursement, Pet, and Legal Insurance

+ 401k
+ Community Service Day

+ Spotlight Awards

+ National Sales Excellence Awards

+ CFSP Prep Certification Program

POSITION SUMMARY:

  • The Pricing Administrator reports to the Purchasing Manager
  • Located in Landover, MD
  • Full-Time
  • Hybrid

As an Pricing Administrator, you will play a crucial role in supporting our supply chain operations. This entry-level position is designed for individuals who are eager to learn and contribute to the optimization of our supply chain processes. Working closely with the supply chain team, you will assist in data analysis, inventory management, and the development of insights to enhance overall operational efficiency.

ESSENTIAL FUNCTIONS & RESPONSIBILITIES:

Data Analysis:

  • Collect and analyze data related to supply chain activities to identify trends, patterns, and areas for improvement.
  • Assist in generating reports and dashboards to provide insights into key performance indicators.

Inventory Management:

  • Support inventory control processes, including monitoring stock levels, tracking product movements, and conducting regular audits.
  • Collaborate with the team to optimize inventory levels and minimize excess or obsolete stock.

Supplier Relationship Management:

  • Assist in maintaining relationships with suppliers and vendors.
  • Support the evaluation of supplier performance and contribute to continuous improvement initiatives.

Process Optimization:

  • Work with the supply chain team to identify opportunities for process improvement.
  • Contribute ideas to enhance operational efficiency and streamline supply chain workflows.

Cross-Functional Collaboration:

  • Collaborate with other departments such as logistics, procurement, and demand planning to ensure seamless coordination across the supply chain.
  • Participate in cross-functional projects to support overall business objectives.

COMPETENCIES:

  • Ability to analyze data and generate meaningful insights to support decision-making.
  • Aptitude for using analytical tools and software.
  • Strong attention to detail in handling inventory data, tracking shipments, and conducting analyses.
  • Clear and effective communication skills, both written and verbal.
  • Ability to collaborate with cross-functional teams and present findings to stakeholders.
  • Flexibility to adapt to changing priorities and work in a dynamic supply chain environment.
  • Proactive approach to identifying and solving challenges in supply chain processes.
  • Willingness to propose innovative solutions.

QUALIFICATIONS & EXPERIENCE:

  • 0 – 2 years of experience in supply chain, logistics, or a related field. Entry-level candidates are encouraged to apply, or equivalent military or practical experience.
  • Proficiency in Microsoft Excel or other data analysis tools.
  • Familiarity with supply chain management software is a plus.
  • Eagerness to learn from experienced supply chain professionals.
  • Ability to successfully pass a background check post offer acceptance.

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