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Entry Level Learning Analytics Jobs in California

You understand that rapid learning requires dedication and are eager to put in the effort to level ... Analytical thinking skills with attention to detail and a systematic approach to debugging Nice to ...

You understand that rapid learning requires dedication and are eager to put in the effort to level ... Analytical thinking skills with attention to detail and a systematic approach to debugging Nice to ...

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Entry Level Learning Analytics information

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 California? The most popular types of Learning Analytics jobs in California are:
What are popular job titles related to Entry Level Learning Analytics jobs in California? For Entry Level Learning Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Learning Analytics jobs in California look for? The top searched job categories for Entry Level Learning Analytics jobs in California are:
Infographic showing various Entry Level Learning Analytics job openings in California as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.
Machine Learning Engineer, Offline Infrastructure (Entry-Level / New Grad)

Machine Learning Engineer, Offline Infrastructure (Entry-Level / New Grad)

Unity Technologies

Mountain View, CA

$125K - $165K/yr

Other

Medical, Life, Retirement, PTO

Posted 5 days ago


Job description

Mountain View, CA, USA

Machine Learning Engineer, Offline Infrastructure (Entry-Level / New Grad)

Location

Mountain View, CA, USA

Department

AI & Machine Learning

Requisition ID

JOBREQ-2616004

Role description

The opportunity

Unity Vector builds an offline ML platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company.

Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform enables large-scale model training, feature generation, and experimentation workflows that power production ML systems.

We’re looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply research-driven thinking to real-world machine learning problems.

You’ll help build and evolve the infrastructure that powers training data generation, ML workflows, and distributed model training. Working closely with experienced engineers and researchers, you’ll contribute to systems that ensure our ML pipelines are reliable, scalable, and efficient.

This role offers the opportunity to bridge research and production—translating advanced ideas into systems that operate at scale.

What you'll be doing

  • Build and maintain data pipelines that generate training datasets for machine learning models and experimentation

  • Contribute to infrastructure that supports distributed training workflows (e.g., PyTorch, Ray)

  • Work with workflow orchestration tools (e.g., Airflow, Flyte, or similar) to support multi-stage ML pipelines

  • Improve reproducibility and reliability through dataset validation, monitoring, and testing

  • Partner with ML engineers to support experimentation and model iteration

  • Help optimize performance and efficiency across data processing and training systems

  • Contribute to the evolution of our offline ML platform architecture as it scales

What we're looking for

  • Bachelor's Degree in Computer Science, Machine Learning, Systems, or a related field

  • Strong foundation in machine learning systems, distributed systems, or large-scale data processing (through research or projects)

  • Experience with Python and working with data-intensive workloads

  • Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and/or distributed systems (e.g., Ray, Spark)

  • Experience (academic or applied) with data pipelines, model training workflows, or large datasets

  • Strong problem-solving skills and ability to translate research ideas into practical systems

  • Interest in building scalable, reliable infrastructure for machine learning

  • Nice to Have

  • Experience with workflow orchestration systems (Airflow, Flyte, etc.)

  • Exposure to large-scale data platforms (data lakes, warehouses, streaming systems)

  • Publications or research in ML systems, distributed systems, or related areas

Additional information

  • Relocation support is not available for this position

  • Work visa/immigration sponsorship is not available for this position

Benefits

At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form (https://docs.google.com/forms/d/e/1FAIpQLSdrbRLG1N-apH1eahQ622Gypo-rmiAB6LLTP1UsSWQNu7omxQ/viewform) to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy (https://unity.com/legal/global-data-privacy-notice-to-prospects) and Applicant Privacy Policy (https://unity.com/de/legal/global-data-privacy-notice-to-applicants) . Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#MID #LI-ED1

*Note: This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set.

Gross pay salary

$92,000—$138,000 USD