Analytics Engineer

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define

the future of learning.

Udemy is an AI-powered skills acceleration platform built to help people and teams grow. It’s personalized, practical, and focused on real-world impact.

Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they’re picking up something new or leveling up to stay ahead.

Over 80 million learners and 17,000 businesses already learn with Udemy. If you’re excited by change, energized by learning, and ready to have a real impact, you’ll feel right at home.

Learn More About Us On Our Company Page.

Where we work

Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye.

This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays

.

About Your Skills

Data Modeling and SQL: You have a strong understanding of data modeling concepts, including dimensional modeling and schema design, proficiency in SQL, and experience building data models and pipelines.

Communication: You have strong communication and collaboration skills to work effectively with team and cross-functional stakeholders.

Influencing: You can build effective working relationships with your peers and manager. You're able to articulate your ideas and influence decisions within your immediate team.

Decision Making: You use critical thinking to follow a defined decision making process and consider multiple perspectives. Upon making a decision, you are clear in your communication and ensure everyone is aligned in execution.

Technical Skills: Knowledge of Python or programming languages and familiarity of modern data tools are a plus.

About This Role

As an Analytics Engineer II at Udemy, you’ll transform raw data into trusted, scalable datasets that power analytics and decision-making across the company. You’ll collaborate closely with business, product, and engineering teams to deliver high-quality data models and pipelines that improve the accessibility and reliability of Udemy’s data ecosystem. This is a hands-on role with strong impact, giving you the opportunity to learn, grow, and directly contribute to Udemy’s mission.

What You’ll Be Doing

Designing, developing, and maintaining robust data models, transforming raw data into valuable insights.

Building and maintaining scalable data pipelines using tools like dbt.

Collaborating with stakeholders to understand data needs and business requirements.

Ensuring high data quality, reliability, and accuracy through regular monitoring and testing.

Writing clear documentation to empower business stakeholders.

Troubleshooting and debugging data issues to ensure seamless analytics capabilities.

Partnering with data analysts and data scientists to optimize the use of datasets.

Identifying opportunities for improvements in data workflows and processes.

What You’ll Have

3+ years experience in data engineering, analytics engineering, BI, or related technical roles.

Experience with data warehousing, ETL development, dimensional data modeling, and building data pipelines (dbt preferred).

Solid SQL proficiency and familiarity with cloud-based data platforms (Databricks, Snowflake, or BigQuery).

Understanding of data architecture concepts, including batch and streaming data systems.

Track record of contributing to the delivery of data products.

Experience with requirements analysis, data documentation, and communicating with both technical and non-technical stakeholders.

Ability to translate business requirements into robust, well-documented data solutions.

An eagerness to contribute ideas, improve processes, and support the team.

At Udemy, we strive to be transparent around compensation. Actual compensation for this role is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor. In addition to a base salary, this role is also eligible for equity.

Hiring Compensation Range

$792,000—$990,000 MXN

Why work here?

You’ll grow here.

Learning is part of the job. You’ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you.

AI is real here.

We use it in the way we learn and the way we work. You’ll have the space and tools to experiment, apply, and get better at using AI in practical ways.

You’ll own your work.

We trust people to lead, make decisions, and follow through. You don’t need to wait for permission or layers of approval to have an impact.

You’ll Build With Others.

We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction.

You’ll see your impact.

What you build helps people grow their skills, change their careers, or find a path forward. You’ve got the experience, why not use it to help others gain theirs?

*Bring your curiosity. We’ll bring the platform and the support. Let’s

LEARN

together.*

Our Benefits Start With U

Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our Australia Benefits, India Benefits, Ireland Benefits, Mexico Benefits, Turkiye Benefits \& US Benefits, pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process.

Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies.

At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you!

Information regarding data privacy is available within the Udemy Careers Privacy Notice.