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Entry Level Data Analyst Jobs in Mount Airy, MD (NOW HIRING)

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ... Exposure to AI/ML concepts, Generative AI, large language models (LLMs), or data analytics.

New

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ... Exposure to AI/ML concepts, Generative AI, large language models (LLMs), or data analytics.

New

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ... Exposure to AI/ML concepts, Generative AI, large language models (LLMs), or data analytics.

New

Analygence

Program Analyst

Fort George G Meade, MD · On-site

In this role, you will provide entry-level financial management and budget execution support to the ... This role supports routine budget tracking, financial documentation, reporting, and data ...

Western Alliance Bank

Senior Credit Analyst

Reston, VA · On-site

$36.74 - $45.38/hr

... practices. * Entry level to intermediate knowledge and understanding of financial statements and ability to analyze business and financial data. * Strong analytical, conceptual, communication ...

Maslow Media Group, Inc.

Cash Analyst

Clarksburg, MD · Remote

$18 - $25/hr

This is an entry-level opportunity with full training provided. The ideal candidate is detail ... Strong data-entry skills and attention to accuracy. * Basic understanding of accounting principles ...

New

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All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Mount Airy, MD

Entry Level Data Analyst information

See Mount Airy, MD salary details

$12

$31

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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 Mount Airy, MD is $31.62, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $35.34 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 Mount Airy, MD?

The most popular types of Data Analyst jobs in Mount Airy, MD are:

What job categories do people searching Entry Level Data Analyst jobs in Mount Airy, MD look for?

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

What cities near Mount Airy, MD are hiring for Entry Level Data Analyst jobs?

Cities near Mount Airy, 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 Mount Airy, MD as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $65,773 per year, or $31.6 per hour.

Entry-Level AI Software Engineer

Credence

Mclean, VA • On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

Overview

Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.

We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.

Position Summary

Credence is seeking a highly motivated Entry-Level AI Software Engineer to join our growing technology team. This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies.

In this role, you will work under the mentorship of senior engineers and AI practitioners to support the design, development, testing, and deployment of software and AI-driven solutions. You will gain hands-on experience with modern development tools, cloud technologies, data platforms, and machine learning concepts while contributing to mission-focused federal technology programs.

This role is ideal for individuals who are eager to learn, solve complex problems, and build innovative solutions that create measurable impact.

Responsibilities include, but are not limited to the duties listed below

  • Assist in the design, development, testing, and deployment of software applications and AI-enabled solutions.
  • Support the development of scalable backend services, APIs, and data-driven applications.
  • Collaborate with engineers and stakeholders to understand requirements and deliver technical solutions.
  • Participate in AI and machine learning solution development, integration, testing, and documentation.
  • Work with cloud platforms and modern software development tools to support application delivery.
  • Contribute to Agile development activities, including sprint planning, standups, retrospectives, and code reviews.
  • Troubleshoot, debug, and resolve software defects during development and quality assurance cycles.
  • Develop and maintain technical documentation, user guides, and engineering artifacts.
  • Learn and apply software engineering best practices, including secure coding, version control, testing, and CI/CD processes.
  • Stay current with emerging technologies, including Generative AI, machine learning, cloud computing, automation, and modern software development practices.

Requirements

  • Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field.
  • Strong programming skills in one or more languages such as Python, Java, C++, JavaScript, or TypeScript.
  • Understanding of software development fundamentals, data structures, algorithms, and object-oriented programming concepts.
  • Familiarity with software development methodologies such as Agile or Scrum.
  • Strong analytical thinking and problem-solving abilities.
  • Excellent written and verbal communication skills.
  • Demonstrated interest in artificial intelligence, software engineering, data engineering, or emerging technologies through coursework, projects, research, or personal initiatives.
  • U.S. Citizenship with the ability to obtain and maintain a Secret Security Clearance.
Preferred Qualifications
  • Internship, research, co-op, hackathon, or capstone project experience related to software development, AI, machine learning, or data engineering.
  • Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Familiarity with Git and version control best practices.
  • Knowledge of APIs, databases, data processing, or cloud-native architectures.
  • Exposure to AI/ML concepts, Generative AI, large language models (LLMs), or data analytics.
  • Interest in cybersecurity, DevSecOps, automation, or data engineering.
  • Experience with Python-based development or AI/ML libraries through academic projects.
  • Active Security Clearance.
What We Offer
  • Meaningful work supporting federal missions that positively impact national security, public health, and global initiatives.
  • Hands-on mentorship from experienced software engineers, AI engineers, and technology leaders.
  • Exposure to cutting-edge technologies, including AI, cloud computing, data engineering, and automation.
  • Professional development, training, and certification opportunities.
  • Clear career growth pathways within a rapidly growing technology organization.

Salary Range: $90,000 - $110,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Resources

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