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Entry Level Learning Analytics Jobs (NOW HIRING)

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 ...

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 ...

... data analysis, cross-functional collaboration, and technical innovation. This role evolves from entry-level learning and support to senior technical leadership and strategic project ownership.

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Entry Level Learning Analytics information

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$60.5K

$123.8K

$175K

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

As of Jun 19, 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 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.
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:
Infographic showing various Entry Level Learning Analytics job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $123,849 per year, or $59.5 per hour.
Entry-Level Opportunity - Customer Success Business Analyst

Entry-Level Opportunity - Customer Success Business Analyst

Auzmor

Des Moines, IA • Hybrid

Other

Posted 29 days ago


Job description

Entry-Level Opportunity at Auzmor: Customer Success Business Analyst
Location: Des Moines, Iowa (Hybrid with Global Collaboration)
Internship-to-Full-Time Pathway | Visa Sponsorship Available for Eligible Candidates
At Auzmor, we believe success isn't just about building great products-it's about ensuring our customers win with them.
We're looking for a Customer Success Business Analyst who thrives at the intersection of customers, data, and product. If you're detail-oriented, love solving problems, and want to grow your career in a fast-paced, global environment-this is your moment.
Who Should Apply:
  • Recent graduates in business analytics, data analytics, or related disciplines
  • Motivated self-starters-degree not mandatory if you've got the skills and passion
  • Clear communicators who thrive in global, rotational-shift environments
What You'll Do:
  • Partner with clients to ensure smooth onboarding and long-term success
  • Analyze customer data and feedback to uncover trends and drive decisions
  • Translate client needs into clear, actionable requirements for internal teams
  • Work across time zones with global stakeholders to ensure delivery excellence
  • Maintain detailed documentation and track customer success metrics
Program Structure: 3-Month Unpaid Internship + Training
Real-world exposure, hands-on learning, and personal mentorship
3-Month Paid Internship
Take ownership, build confidence, and earn a competitive stipend
Full-Time Opportunity
High performers transition into Business Analyst / Product Owner roles at Auzmor
Why Join Auzmor?
  • Work with global clients and a high-performing team from Day 1
  • Be part of a fast-growing company that values curiosity, initiative, and impact
  • Hybrid setup from Des Moines, Iowa with rotational shift flexibility
  • Visa sponsorship available for eligible candidates
  • A clear path for career advancement and long-term success

Auzmor logo

About Auzmor

Sourced by ZipRecruiter

Industry

Software development

Company size

51 - 200 Employees

Headquarters location

West Des Moines, IA, US

Year founded

2017