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Entry Level Data Analyst Jobs in Washington (NOW HIRING)

Aston Carter

Entry Level Financial Analyst

Columbia, MD · On-site

$23/hr

Job Title: Entry Level Financial Analyst Join a dynamic team hiring for entry level financial ... Ability to conduct data entry and perform detailed financial analyses. * Experience in finance ...

Pwc

AI & GenAI Data Scientist - Manager

Washington, DC · On-site

$99K - $232K/yr

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 ...

Insilico Logix

QA Analyst - Entry Level

Reston, VA · On-site

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 ...

Insilico Logix

QA Analyst - Entry Level

Herndon, VA · On-site

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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All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Washington

Entry Level Data Analyst information

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

As of Sep 7, 2026, the average hourly pay for entry level data analyst in Washington is $37.29, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $41.63 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.

More about Entry Level Data Analyst jobs

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Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $77,568 per year, or $37.3 per hour.

Data Engineer Analyst (WDP)

Bespoke Technologies, Inc

Chantilly, VA • On-site

Full-time

Re-posted 2 days ago

Job description

BT-156 - Data Engineer Analyst (WDP)
Skill Level: Entry/Junior
Location: Chantilly/Herndon
**MUST HAVE AN ACTIVE TS OR TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.**
Role Description:
This is an entry-level opportunity to begin your career as a Data Engineer. As a Junior Analyst, you will learn the fundamentals of building and maintaining large-scale data pipelines on a government data platform. You will work alongside senior engineers, assisting with development, monitoring systems, and helping to ensure the quality and reliability of our data. This role is ideal for a motivated individual with a foundational understanding of data concepts and a strong desire to learn and grow.
Responsibilities:
  • Assist senior engineers in the development and maintenance of data pipelines.
  • Support the operations of existing pipelines by monitoring their performance and responding to alerts under supervision.
  • Execute pre-defined scripts and processes for data ingestion and transformation.
  • Help run data quality checks and document the results.
  • Participate in team meetings and Agile/Scrum ceremonies, learning the development lifecycle.
  • Contribute to the creation and upkeep of technical documentation for data processes.

Required Qualifications:
  • 0-2 years of experience or relevant internship experience in a technical or data-related field.
  • A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.
  • Basic knowledge of SQL and at least one scripting language (Python preferred).
  • A foundational understanding of data concepts (e.g., databases, ETL).
  • Strong problem-solving skills and a proactive willingness to learn new technologies.
  • Experience with cloud data platforms (e.g., Databricks, Snowflake, AWS S3, Azure Data Lake).
  • A foundational understanding of metadata management and data governance concepts.

Preferred Qualifications:
  • Hands-on experience developing integrations for an enterprise data catalog platform (e.g., Collibra, Alation).
  • Experience with workflow orchestration tools (e.g., Airflow, Prefect).
  • Familiarity with Infrastructure-as-Code (e.g., Terraform).
  • Exposure to streaming data technologies (e.g., Kafka).

Apply