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Entry Level Data & Analytics Jobs in Washington, DC

Pwc

AML/Sanctions- Data Scientist- Associate

Washington, DC · On-site

$63K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

They utilise advanced analytics techniques to help clients optimise their operations and achieve ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

JCS Solutions LLC

Entry Level Analyst

Fairfax, VA · On-site

$45K - $58K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Summary JCS Solutions LLC is seeking an Entry-Level Analyst to support data-driven decision ... data sets. * Coursework or internship experience in marketing analytics, digital campaign ...

JCS Solutions LLC

Entry Level Analyst

Fairfax, VA · On-site

$45K - $58K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Summary JCS Solutions LLC is seeking an Entry-Level Analyst to support data-driven decision ... data sets. * Coursework or internship experience in marketing analytics, digital campaign ...

Aston Carter

Entry Level Financial Analyst

Columbia, MD · On-site

$23/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Title: Entry Level Financial Analyst As an analyst, you will be responsible for processing the ... Strong skills in business analysis, finance, and data analysis. * Ability to research and interpret ...

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All JobsData & Analytics JobsEntry Level Data & Analytics JobsEntry Level Data & Analytics Jobs in Washington, DC

Entry Level Data Analytics information

See Washington, DC salary details

$37.4K

$92.3K

$158.6K

How much do entry level data & analytics jobs pay per year?

As of Aug 16, 2026, the average yearly pay for entry level data & analytics in Washington, DC is $92,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,400.00 and $109,300.00 per year, depending on experience, location, and employer.

How can I start a career in data & analytics?

To start a career in data & analytics, focus on developing skills in data analysis, statistics, and programming languages like Python or SQL. Earning relevant certifications, such as those in data analysis or business intelligence, and gaining hands-on experience through internships or projects can also improve job prospects.

What does an entry level data & analytics do?

As an Entry Level Data & Analytics team member, your daily tasks often involve gathering, cleaning, and preparing datasets, conducting basic analyses, and creating data visualizations to help explain findings. You'll frequently collaborate with senior analysts or managers, supporting ongoing projects by generating reports or troubleshooting data issues. This role also requires you to communicate your insights to both technical and non-technical colleagues, so clear documentation and presentation skills are valuable. Over time, you'll gain exposure to more complex analytical work and opportunities to specialize as you grow in your career.

What are the key skills and qualifications needed to thrive in the entry level data & analytics position?

To thrive as an Entry Level Data & Analytics professional, you need a basic understanding of statistics, data analysis, and data visualization, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with analytical tools such as Excel, SQL, Python, or Tableau, and any relevant certifications (like Google Data Analytics or Microsoft Excel certification) are often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate data insights into actionable recommendations for stakeholders. These competencies are crucial for ensuring accurate data interpretation and meaningful contributions to business decision-making.

Can I get into entry level data & analytics with no experience?

Entry level data and analytics roles often do not require prior professional experience and focus on foundational skills such as Excel, SQL, or basic statistics. Candidates can improve their chances by completing relevant online courses, certifications, or internships to demonstrate their interest and basic competency in data analysis tools and concepts.

What is an entry level data & analytics?

An Entry Level Data & Analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Responsibilities may include cleaning datasets, creating reports, and using tools like Excel, SQL, or Python to extract insights. These roles often require strong analytical thinking, attention to detail, and proficiency in data visualization tools. Entry-level employees typically work under the guidance of senior analysts or data scientists to develop skills and gain industry experience.

What are the most commonly searched types of Data & Analytics jobs in Washington, DC?

The most popular types of Data & Analytics jobs in Washington, DC are:

What are popular job titles related to Entry Level Data & Analytics jobs in Washington, DC?

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

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

The top searched job categories for Entry Level Data & Analytics jobs in Washington, DC are:

Entry Level Data Analytics jobs near you
Infographic showing various Entry Level Data & Analytics job openings in Washington, DC as of August 2026, with employment types broken down into 74% Full Time, 15% Part Time, 4% Temporary, and 7% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $92,327 per year, or $44.4 per hour.

Data Engineer - Multiple Levels (TS/SCI with Poly Required)

Red Alpha Careers

Columbia, MD

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

A little about us:
The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.

Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.

Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we're pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means...), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.
A day in the life:
Despite the title of this role being "Data Engineer" (which sounds very specific), it is actually a great opportunity to demonstrate the diversity of your skills across the data science spectrum. From procurement, consolidation, and cleansing to modeling and presentation, you will influence and add value in several areas across the data science life cycle in order to answer mission and business questions. Subject areas include but are not limited to the following:
  • Employ a variety of languages and tools (e.g., scripting languages) to integrate systems.
  • Conduct research and leverage large volumes of data from multiple sources to answer mission and business questions.
  • Employ sophisticated analytics, programs, machine learning, and statistical methods to prepare data for use in analytical processes and prescriptive modeling.
  • Explore and examine data for hidden patterns.
  • Automate work through the use of predictive and prescriptive analytics.
  • Develop processes to extract/transform/load (ETL) data between different systems.

What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.

All of our data scientists need the following skills:

  • Proficiency with a scripting language such as R or Python
  • Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques...!) but you should be comfortable and capable with several of them and know some others not on this list.
  • A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
  • For entry-level data scientists, 0-3 years of experience on Data Science projects.
  • For mid-level data scientists, 3-6 years of experience on Data Science projects.
  • For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
  • A TS/SCI with Polygraph security clearance.

For this particular role, you will also need:

  • Experience in identifying, developing, and deploying new approaches to automate data collection, consolidation, and analysis
  • Proven ability to develop and deploy software and scripts needed to collect business-relevant metrics based on enterprise data

These are important skills to have, but not necessarily mandatory:

  • Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host, but you do like people and enjoy solving problems jointly with your colleagues.
  • Experience with Java, C, or other compiled languages
  • Comprehensive knowledge of Saturday Night Live sketches (just kidding)
  • Experience with SQL/NoSQL, Spark, Hadoop
  • Familiarity with Javascript and Scripting
  • Familiarity with Docker, GitLab, and React
  • Familiarity with Agile processes and structures, and able to work on a software development team

The total package:
Our total compensation package was strategically designed with our members in mindwith the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as wecontinue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselvesandtheir dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary andbenefits such as health, life/disability, 401k, paid time off,professional development, and generous bonus programs. Please visit ourbenefitstab for additional information.
Salary Range:
  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience,actual level of expertise, and the responsibilities of the role itself.
  • Based on the outlined roles, responsibilities, and requirements, the projected pay range for these positions are:
    • Entry-level: $95,000 - $135,000
    • Mid-level: $110,000 - $155,000
    • Senior-level: $135,000 - $235,000
Some of our additional perks and benefits include:
  • Retire soonerthan planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested.
  • Have a career AND a life:Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best:As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements: $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships.
  • Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!
Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as webring digital transformation to the fight!
Employment Type: Full-Time

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