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Entry Level Data Analyst Jobs in Silver Spring, MD

Augur Consulting

Entry-Level Analyst

Arlington, VA · On-site

Entry-Level Analyst U.S. citizenship required. Are you a critical thinker with acumen for problem ... Data Analytics & Visualization responsibilities include: Using PowerBI, Tableau, R, JACS, PO$T, CO ...

Tecolote Research

Entry Level Analyst

Washington, DC · On-site

$55K - $75K/yr

Responsibilities Data Analytics * Analyze monthly Integrated Program Management Reports, including IPMR/IPMDAR submissions and supporting cost and schedule data. * Examine program-performance ...

JCS Solutions LLC

Entry Level Analyst

Fairfax, VA · On-site

$45K - $58K/yr

Job Summary JCS Solutions LLC is seeking an Entry-Level Analyst to support data-driven decision making across our business operations. This role is designed for an early professional who is curious ...

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All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Silver Spring, MD

Entry Level Data Analyst information

See Silver Spring, MD salary details

$13

$34

$63

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

As of Sep 5, 2026, the average hourly pay for entry level data analyst in Silver Spring, MD is $34.04, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $38.03 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

What are the most commonly searched types of Data Analyst jobs in Silver Spring, MD?

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For Entry Level Data Analyst jobs in Silver Spring, MD, the most frequently searched job titles are:

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The top searched job categories for Entry Level Data Analyst jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Entry Level Data Analyst jobs?

Cities near Silver Spring, MD 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 Silver Spring, MD as of August 2026, with employment types broken down into 82% Full Time, 6% Part Time, 6% Temporary, and 6% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $70,801 per year, or $34 per hour.

Entry-Level Analyst

Augur Consulting

Arlington, VA • On-site

Full-time

Re-posted 15 days ago

Key responsibilities

  • Collaborate with government program offices and cross-functional experts to gather inputs, perform analysis, develop models, and interpret results.

  • Develop and maintain complex cost models, conduct life cycle cost analysis, cost risk analysis, and track cost performance.

  • Perform schedule analysis including critical path analysis, schedule variance analysis, and schedule risk analysis, as well as develop and track integrated master schedules.

Job description

Entry-Level Analyst
U.S. citizenship required.
Are you a critical thinker with acumen for problem solving? Would you like to help the government tackle some of its most challenging cost, schedule, and performance issues? Then we want to talk with you. Here at Augur, we believe in creating a fun and challenging environment that embraces team spirit while fostering high-performance.
Augur is a small business, and every employee has a direct impact on the success of the company. New hires receive intensive training and are quickly put into a position to provide unique and meaningful contributions. Analysts work in a collaborative and cross-functional environment, interfacing with subject matter experts, gaining exposure to a wide variety of analytical disciplines, and learning consulting best practices.
We are looking for motivated and analytically oriented recent graduates who are ready to start their career next door to our nation's capital. If you like problem solving, working in a dynamic team environment, and quantitative analysis, this may be the opportunity for you.
Augur Consulting, Inc. is an Equal Opportunity Employer
Responsibilities:
Our analysts work closely with government program offices in the acquisition of cutting edge defense technologies and energy projects. Analysts collaborate with cross functional experts and conduct research to gather inputs, perform analysis, develop models, compile and interpret results, and defend findings.
Cost Analysis responsibilities include: Development and maintenance of complex cost models, life cycle cost analysis, cost risk analysis, and cost performance tracking. Special projects include analysis of alternatives (AoA), business case/cost-benefit analysis, regression analysis, and cost excursions as needed by customers.
Schedule Analysis responsibilities include: Critical path analysis, schedule variance analysis, integrated master schedule development and tracking, vendor performance analysis and tracking, schedule risk analysis and ad-hoc problem solving.
Performance Management responsibilities include: Performing baseline events, audits, surveillance, and analysis/management of vendor performance, ensuring that program baselines are executable and measurable, conducting/leading/training the government on how to perform a proper baseline event, and other ad hoc methods to evaluate vendor performance and ensure tax dollars are executed efficiently.
Data Analytics & Visualization responsibilities include: Using PowerBI, Tableau, R, JACS, PO$T, CO$TAT, or LITUUS to develop dashboards, assessments, analyses reports, etc. to enable program managers to make informed decisions surrounding cost, schedule, vendor performance and other ad-hoc decision support.
Education:
A Bachelor's degree is required, with a preference for quantitative science or business disciplines (Economics, Math, Statistics, Finance, Business, Physics, Engineering, etc.)
Requirements:
Candidates must be proficient in quantitative analysis, project management concepts, and data collection and interpretation. Strong problem solving, critical thinking, teamwork, communication, and presentation skills are necessary. Applicants should be proficient in MS Office (Word, PowerPoint, and Excel). Experience with MS Project, analytical software tools, and programing languages such as R, Python, and VBA is helpful but not required.
Must be able to obtain and maintain the necessary levels of security clearance.
U.S. citizenship required.

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