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Entry Level Analyst Jobs in Washington, DC (NOW HIRING)

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QA Analyst - Entry Level

Reston, VA · On-site

We are actively looking for Entry level QA/BA Analyst position for our clients throughout USA. Responsibilities :- * Managed all phases of Software Test Life Cycle, Creation of documentation, testing ...

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QA Analyst - Entry Level

Herndon, VA · On-site

We are actively looking for Entry level QA/BA Analyst position for our clients throughout USA. Responsibilities :- * Managed all phases of Software Test Life Cycle, Creation of documentation, testing ...

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Entry Level Analyst information

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How much do entry level analyst jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for entry level analyst in Washington, DC is $43.62, according to ZipRecruiter salary data. Most workers in this role earn between $29.33 and $54.57 per hour, depending on experience, location, and employer.

What is an entry level analyst?

An Entry Level Analyst is a professional who collects, processes, and analyzes data to support business decision-making. They work in various industries, including finance, consulting, and technology, assisting with reporting, research, and strategy development. Their tasks may include data cleaning, trend analysis, and creating presentations for stakeholders. Strong analytical skills, attention to detail, and proficiency in tools like Excel or SQL are often required. This role serves as a foundation for growth into more specialized or senior analytical positions.

What are some common career paths for someone starting as an entry level analyst?

Starting as an Entry Level Analyst opens doors to a variety of career paths, including moving into more specialized roles such as Data Analyst, Financial Analyst, Business Intelligence Analyst, or even Project Manager. As you gain experience, demonstrate strong analytical abilities, and learn industry-specific tools, you may find opportunities to advance into senior or lead analyst positions, or transition into strategy, consulting, or managerial roles. Many companies support ongoing training and offer mentorship programs to help early-career analysts expand their skills. This role is a great way to build a solid foundation in data-driven decision-making and business operations.

What are the key skills and qualifications needed to thrive in the entry level analyst position, and why are they important?

To thrive as an Entry Level Analyst, you need strong analytical thinking, proficiency in quantitative analysis, and typically a bachelor’s degree in a related field such as finance, business, or data science. Familiarity with Excel, data visualization tools (like Tableau or Power BI), and statistical software (such as SQL or Python) is often expected. Effective communication, attention to detail, and strong problem-solving skills help analysts stand out in this position. These abilities are important for accurately interpreting data, deriving actionable insights, and collaborating effectively across teams.

What are the most commonly searched types of Analyst jobs in Washington, DC?

The most popular types of Analyst jobs in Washington, DC are:

What are popular job titles related to Entry Level Analyst jobs in Washington, DC?

For Entry Level Analyst jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Entry Level Analyst jobs in Washington, DC look for?

The top searched job categories for Entry Level Analyst jobs in Washington, DC are:

Entry Level Analyst jobs near you
Infographic showing various Entry Level Analyst job openings in Washington, DC as of August 2026, with employment types broken down into 90% Full Time, 3% Part Time, and 7% Contract. Highlights an 92% In-person, 5% Hybrid, and 3% Remote job distribution, with an average salary of $90,734 per year, or $43.6 per hour.

AI Data Analyst with Security Clearance

LTC Solutions, LLC

Washington, DC • On-site

Other

Posted 13 days ago

Key responsibilities

  • Prepare, cleanse, validate, and transform structured and unstructured datasets supporting GPN analytics and Department of Defense decision-support activities.

  • Develop and maintain Python, SQL, and R scripts that automate recurring data preparation, transformation, validation, and reporting tasks.

  • Develop and maintain dashboards, charts, scorecards, and visualization products using Power BI, Tableau, or similar business intelligence platforms.

Job description

AI Data Analyst: Location: Hybrid (Supporting Pentagon, Arlington, VA) Status: Contingent Hire – Full-Time – Hybrid Clearance: US Citizens with Active TS/SCI Security Clearance (Required) MUST HAVE: Demonstrated experience supporting Department of Defense, Department of the Navy, U.S. Marine Corps, or other Federal Government organizations data preparation, scripting, automation, data visualization, and analytics using modern programming languages and business intelligence tools. Position Summary The AI Data Analyst provides entry-level analytical and technical support to Headquarters Marine Corps (HQMC), Installations and Logistics (I&L), and the Global Positioning Network (GPN) Program. Working in a hybrid or remote environment under the direction of the Senior AI Data Analyst / Analytics Team Lead, the position prepares data for analysis, develops automation scripts, executes routine analytical models, and produces dashboards and visualization products that support Department of Defense decision-making. The AI Data Analyst assists in collecting, validating, transforming, and integrating structured and unstructured data from multiple Government systems while supporting enterprise data standards, repeatable analytics workflows, and automated reporting. The position contributes to the development of reusable scripts, dashboards, and data products that improve operational awareness, logistics readiness, and program performance. Required Qualifications U.S. Citizen with an Active Top Secret/SCI security clearance and ability to obtain a CAC card.
Bachelor's degree in Data Science, Computer Science, Information Systems, Mathematics, Statistics, Engineering, Business Analytics, or a related discipline.
One (1) to three (3) years of experience supporting data analytics, business intelligence, data engineering, or software development.
Experience using Python, SQL, or R for data preparation, scripting, automation, or analysis.
Experience using Microsoft Excel and at least one business intelligence platform such as Power BI, Tableau, or equivalent.
Experience collecting, cleaning, validating, and transforming structured datasets.
Working knowledge of relational databases, SQL queries, and data management principles.
Strong analytical, problem-solving, and technical communication skills.
Ability to work independently while collaborating effectively with senior analysts and Government personnel.
Preferred Qualifications Experience supporting Department of Defense, Department of the Navy, U.S. Marine Corps, or other Federal Government organizations.
Experience developing automated data pipelines or reusable scripts.
Familiarity with Git, Azure DevOps, GitHub, or other version-control platforms.
Experience with cloud analytics environments such as Microsoft Azure, Microsoft Fabric, AWS, or Databricks.
Familiarity with data governance, cybersecurity, and secure handling of Controlled Unclassified Information (CUI).
Experience creating interactive dashboards and executive visualization products.
Exposure to artificial intelligence, machine learning, or predictive analytics concepts.
Primary Duties Prepare, cleanse, validate, and transform structured and unstructured datasets supporting GPN analytics and Department of Defense decision-support activities.
Develop and maintain Python, SQL, and R scripts that automate recurring data preparation, transformation, validation, and reporting tasks.
Execute routine analytical models and assist with predictive analytics under the direction of the Senior AI Data Analyst.
Develop and maintain dashboards, charts, scorecards, and visualization products using Power BI, Tableau, or similar business intelligence platforms.
Support development of reusable data pipelines, scripts, templates, and automated workflows that improve analytical efficiency.
Perform data quality checks and assist in maintaining enterprise data standards established by the Analytics Team Lead.
Research data anomalies, resolve inconsistencies, and document corrective actions.
Support integration of data from multiple Government systems into consolidated analytical datasets.
Generate recurring reports, performance metrics, trend analyses, and data extracts supporting Government leadership.
Document scripts, queries, data models, and analytical procedures to ensure repeatability and knowledge transfer.
Assist with testing, validating, and deploying analytical products before Government delivery.
Collaborate with senior analysts, Government stakeholders, and technical personnel to resolve analytical issues and improve data quality.
Maintain compliance with Department of Defense cybersecurity, records management, and data governance requirements.
Perform additional analytical, scripting, automation, and reporting duties as assigned

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