Analytics Engineer
Analytics Engineer
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$ 148000 - 185000
1 Vacancy
Job Description
Join Udemy. Help define the future of learning.
Udemy is an AI-powered skills acceleration platform built to help people and teams grow. Its 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 theyre picking up something new or leveling up to stay ahead.
Over 80 million learners and 17000 businesses already learn with Udemy. If youre excited by change energized by learning and ready to have a real impact youll 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 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 youll blend deep technical expertise with product leadership to deliver innovative business-critical data products that fuel decision-making across the organization. Youll own the transformation modeling and definition of data products from pipeline inception to last-mile analytics shaping the future of Udemys data foundation. This highly-visible role partners across business product and engineering teams supporting leaders with trusted analytics that drive Udemys rapid growth.
This is a unique opportunity both to set strategy and to be hands-onsolving large ambiguous problems building scalable solutions mentoring others and championing a culture of quality data across the business.
What youll 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 youll 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.
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 addition to a base salary this role is also eligible for equity.
Hiring Compensation Range
$148000 - $185000 USD
Why work here
Youll grow here.
Learning is part of the job. Youll 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. Youll have the space and tools to experiment apply and get better at using AI in practical ways.
Youll own your work.
We trust people to lead make decisions and follow through. You dont need to wait for permission or layers of approval to have an impact.
Youll build with others.
We collaborate openly and shape ideas together. Everyone has a voice and good thinking is welcomed from any direction.
Youll see your impact.
What you build helps people grow their skills change their careers or find a path forward. Youve got the experience why not use it to help others gain theirs
Bring your curiosity. Well bring the platform and the support. Lets LEARNtogether.
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 BenefitsTurkiye Benefits & US Benefitspages 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.
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 wed love to hear from you!
Information regarding data privacy is available within the Udemy Careers Privacy Notice.
Employment Type
Full Time
