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Entry Level Learning Analytics Jobs (NOW HIRING)

Bracebridge Capital

Machine Learning Analyst

Boston, MA

$110K - $145K/yr

... analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended investment questions and support portfolio management decisions. The team ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

... analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended investment questions and support portfolio management decisions. The team ...

West Fraser, Inc

Mechanical Engineer

Nacogdoches, TX

... by analyzing, improving, and automating complex safety production processes. This role is an entry level, learning role which focuses on equipment reliability, advanced process control strategies ...

West Fraser

Mechanical Engineer

Nacogdoches, TX · On-site

... by analyzing, improving, and automating complex safety production processes. This role is an entry level, learning role which focuses on equipment reliability, advanced process control strategies ...

West Fraser

Mechanical Engineer

Nacogdoches, TX · On-site

... by analyzing, improving, and automating complex safety production processes. This role is an entry level, learning role which focuses on equipment reliability, advanced process control strategies ...

Robert Half

Financial Analyst - Entry Level

Reading, PA · On-site

$23 - $29/hr

... learning the fundamentals of market and business analysis in a structured environment. The role ... for an entry-level opportunity. • Foundational knowledge of financial analysis, data ...

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 ...

ULINE

Entry Level Finance Opportunities

Kenosha, WI

Learn key financial skills, gain whole business knowledge and expand your learning through ... Analyze customer data and documentation such as invoices, tax exemption certificates, and financial ...

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Entry Level Learning Analytics information

See salary details

$60.5K

$123.8K

$175K

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

As of Jul 31, 2026, the average yearly pay for entry level learning analytics in the United States is $123,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $153,500.00 per year, depending on experience, location, and employer.

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.

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.
More about Entry Level Learning Analytics jobs
What cities are hiring for Entry Level Learning Analytics jobs? Cities with the most Entry Level Learning Analytics job openings:
What are the most commonly searched types of Learning Analytics jobs? The most popular types of Learning Analytics jobs are:
What states have the most Entry Level Learning Analytics jobs? States with the most job openings for Entry Level Learning Analytics jobs include:
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Entry Level Learning Analytics jobs near you
Infographic showing various Entry Level Learning Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $123,849 per year, or $59.5 per hour.

Machine Learning Analyst

Bracebridge Capital

Boston, MA

$110K - $145K/yr

Other

Posted 16 days ago

Job description

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended investment questions and support portfolio management decisions. The team works across the project lifecycle and technical stack, from ideation, understanding and analyzing data, hypothesis generation and testing, and model development all the way through to the deployment and maintenance of models and systems in production. Our work spans statistical modeling, classical machine learning, and modern AI and LLM techniques.

The Machine Learning Analyst's primary responsibility will be to contribute to these efforts alongside other team members. Over time, you will develop the technical and domain expertise needed to take increasing ownership of individual components and ultimately end-to-end projects.

The work is highly collaborative and spans quantitative research, software engineering, and machine learning. Analysts work with other members of the machine learning team and portfolio managers to translate loosely defined investment ideas into practical tools and models. Successful candidates will have solid programming foundations, be comfortable translating between qualitative and quantitative descriptions of problems and be excited to build data analysis and machine learning systems against the backdrop of portfolio management.

Since the team works closely with trading floor personnel to assist with portfolio management decision-making, an interest in economic and financial markets is essential, but no specific prior experience is necessary.

This role is open to candidates available to begin in the near term, as well as students expecting to complete their undergraduate degree between Fall 2026 and Summer 2027. Start dates will be determined based on candidate availability and, for students, degree completion.

 Responsibilities:

  • Collaborate closely with Machine Learning team members, portfolio managers, and researchers to translate open-ended investment questions into well-defined analytical and machine learning problems
  • Develop and evaluate data-driven machine learning and quantitative models, including simulation- and optimization-based approaches, for investment-related problems
  • Contribute to maintaining existing models and analytic tools in production
  • Over time, take ownership of individual features and components and full projects
  • Clearly document and communicate methods, assumptions, results, and limitations of models to other researchers and trading professionals across the firm
  • Stay current with relevant new techniques and technologies in machine learning and artificial intelligence, particularly as they pertain to finance and investing

Qualifications:

  • Bachelor's degree (or equivalent) in a rigorous quantitative field
  • 0-2 years of experience through industry internships, undergraduate research or thesis, or substantial independent technical projects involving software development, data analysis, or machine learning
  • Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus
  • Experience working with and analyzing data from multiple sources and in multiple formats
  • Familiarity with machine learning and statistical modeling fundamentals, including model evaluation and experimental design
  • Demonstrated ability to independently scope and execute open-ended technical projects
  • Interest in financial markets, intellectual curiosity, and comfort in working on open-ended problems
  • Strong written and verbal communication skills

Current anticipated annual base salary range: $110,000 - $145,000

Base salary within the range will be determined by various factors including but not limited to the individual's experience, skills and qualifications.

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