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Entry Level Learning Analytics Jobs in Washington, DC

Augur Consulting

Entry-Level Analyst

Arlington, VA · On-site

... and learning consulting best practices. We are looking for motivated and analytically oriented ... Data Analytics & Visualization responsibilities include: Using PowerBI, Tableau, R, JACS, PO$T, CO ...

MicroCoders LLC

Entry level QA/BA Analyst

Reston, VA · On-site

... Analysis/Quality Assurance with over 300+ employees working all over United States. We are seeking ... A great attitude and hunger for learning and Flexible * Strong work ethic, integrity, customer ...

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All JobsLearning Analytics JobsEntry Level Learning Analytics JobsEntry Level Learning Analytics Jobs in Washington, DC

Entry Level Learning Analytics information

See Washington, DC salary details

$68.5K

$140.3K

$198.2K

How much do entry level learning analytics jobs pay per year?

As of Jun 17, 2026, the average yearly pay for entry level learning analytics in Washington, DC is $140,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $173,900.00 per year, depending on experience, location, and employer.

What are the 4 types of learning analytics?

The four types of learning analytics are descriptive, diagnostic, predictive, and prescriptive analytics. Descriptive analytics analyze past data to understand what has happened, while diagnostic analytics explore why it happened. Predictive analytics forecast future outcomes, and prescriptive analytics recommend actions to improve learning outcomes, making them useful for entry-level learning analytics roles that involve data interpretation and decision-making.

How can I get into data analytics with no experience?

Entry level learning analytics roles typically require foundational skills in data analysis, such as proficiency in Excel, SQL, or data visualization tools like Tableau. Gaining relevant knowledge through online courses, certifications, or internships can help build your skills and improve your chances of entering the field without prior experience.

What are entry level learning analytics jobs?

Entry level learning analytics jobs are positions designed for individuals who are new to the field of learning analytics. These roles typically involve collecting, analyzing, and interpreting data related to educational programs or training initiatives. Entry-level professionals may assist in generating reports, supporting research, and using data to improve learning outcomes. They often work under the guidance of more experienced analysts and are expected to be familiar with basic data analysis tools and concepts.

Is 40 too late for data science?

Entry Level Learning Analytics roles often value skills and relevant training over age, and many professionals transition into data science later in their careers. Gaining proficiency in programming languages like Python or R, along with understanding data visualization tools, can help you enter the field regardless of age. Continuous learning and certifications can also improve your chances of starting a career in data science at any age.

What is the difference between Entry Level Learning Analytics vs Data Analyst?

AspectEntry Level Learning AnalyticsData Analyst
Required CredentialsBachelor's in Education, Data Science, or related field; familiarity with learning management systemsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentEducational institutions, e-learning platforms, corporate training programsVarious industries including finance, healthcare, marketing, and technology
Employer & Industry UsagePrimarily in education and e-learning sectorsAcross multiple industries requiring data-driven decision making

Entry Level Learning Analytics focuses on analyzing educational data to improve learning outcomes, often within educational or e-learning settings. In contrast, Data Analysts work across diverse industries to interpret data for strategic insights. While both roles require analytical skills and familiarity with data tools, Entry Level Learning Analytics emphasizes understanding educational contexts and learning management systems, making it more specialized in the education sector.

What are the key skills and qualifications needed to thrive as an Entry Level Learning Analytics professional, and why are they important?

To thrive as an Entry Level Learning Analytics professional, you need a basic understanding of data analysis, statistics, and educational measurement, typically supported by a relevant degree in education, statistics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), learning management systems (LMS), and spreadsheet software such as Excel is commonly required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret data and collaborate with educators or organizational stakeholders. These skills are crucial for transforming raw educational data into actionable insights that enhance learning outcomes and drive informed decision-making.

What types of projects do entry-level learning analytics professionals typically work on, and how do they collaborate with instructional designers or educators?

Entry-level learning analytics professionals often support projects such as analyzing student engagement data, reporting on learning outcomes, and identifying trends in course performance. They regularly collaborate with instructional designers and educators by providing data-driven insights that inform curriculum adjustments and teaching strategies. This teamwork helps ensure that educational interventions are both effective and tailored to learner needs, offering entry-level professionals valuable experience in cross-functional communication and practical data application.

Is AI replacing data analysts?

AI is transforming the role of entry level learning analytics professionals by automating routine data processing and analysis tasks, allowing analysts to focus on interpretation and strategic insights. While AI tools can handle large datasets efficiently, human expertise remains essential for contextual understanding, decision-making, and developing complex models. Entry level analysts should develop skills in data visualization, statistical analysis, and AI tools to stay relevant in the evolving field.
What are the most commonly searched types of Learning Analytics jobs in Washington, DC? The most popular types of Learning Analytics jobs in Washington, DC are:
What are popular job titles related to Entry Level Learning Analytics jobs in Washington, DC? For Entry Level Learning Analytics jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Entry Level Learning Analytics jobs in Washington, DC look for? The top searched job categories for Entry Level Learning Analytics jobs in Washington, DC are:
Entry Level Learning Analytics jobs near you
Infographic showing various Entry Level Learning Analytics job openings in Washington, DC as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $140,270 per year, or $67.4 per hour.
Entry-Level Analyst

Entry-Level Analyst

Augur Consulting

Arlington, VA • On-site

Full-time

Posted 24 days ago

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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