Analytics Engineer

Analytics Engineer

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.

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 sophisticated data models and pipelines.
• Communication: You have strong communication and collaboration skills to work effectively with cross-functional teams.
• Influencing: You develop relationships effectively up, down, and across the organization and are able to strategically use these relationships to help move your work forward. You scope a solution that will "get to yes" and also are capable of pushing back on disagreement if they will not provide the outcome needed for the team or the business.
• 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 a Senior Analytics Engineer at Udemy, you'll blend deep technical expertise with product leadership to deliver innovative, business-critical data products that fuel decision-making across the organization. You'll own the transformation, modeling, and definition of data products from pipeline inception to last-mile analytics, shaping the future of Udemy's data foundation. This highly-visible role partners across business, product, and engineering teams, supporting leaders with trusted analytics that drive Udemy's rapid growth.

This is a unique opportunity both to set strategy and to be hands-on—solving large, ambiguous problems, building scalable solutions, mentoring others, and championing a culture of quality data across the business.

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

• A strong foundation in SQL and experience with modern data stack tools like dbt, Databricks, or BigQuery.
• A track record of building reliable and scalable data pipelines and workflows.
• An analytical mindset with the ability to translate business needs into robust data solutions.
• Excellent collaboration and communication skills to work effectively with cross-functional teams.
• A detailed understanding of data modeling concepts and best practices for analytics engineering.
• A passion for creating user-friendly and well-documented datasets that empower stakeholders.
• A proactive attitude towards identifying and solving data challenges.
• An eagerness to contribute ideas, improve processes, and drive the team towards success.

Hiring Compensation Range $148,000 - $185,000 USD

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.