Senior Staff Analytics Engineer (Analytics Engineering)

Senior Staff Analytics Engineer (Analytics Engineering)

This job is no longer open

About Udemy

Udemy is the world’s largest education platform with more than 30 million monthly visitors.  Through our Consumer and Enterprise businesses, Udemy creates new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world. The Udemy consumer marketplace offers thousands of up-to-date courses in dozens of languages and provides the tools learners and instructors need to achieve their goals and reach their full potential. For companies, Udemy Business (UB) offers an employee training and development platform with subscription access to thousands of courses, learning analytics, as well as the ability to host and distribute their own content. Our enterprise platform is among the fastest growing SaaS businesses in the world.  UB has more than 10,000 customers and serves the majority of the Fortune 100.

We are looking for an experienced analytics engineer to join our data team and push us towards a world with cleaner, more efficient data. You will be partnering with our data scientists and business stakeholders to understand our business and ensure that the data is ready for analysis and decision making.

Responsibilities

  • Contribute high quality, documented, tested, and cleanly modeled data to our data warehouse.
  • Help define and improve upon our analytics engineering standards through internal documentation and helpful peer reviews.
  • Collaborate with data scientists, product managers, marketers and other data-driven internal stakeholders to identify opportunities for better data access and usage
  • Develop and maintain data definitions for internally available data sources

Qualifications

  • 6-8 years of experience working in the analytics field as a full-stack data analyst
  • Excellent SQL skills with experience building tables in a production environment
  • Knowledge in ETL performance tuning / query optimization
  • Experience using git and command line within your data development
  • Experience with data processing frameworks and tools such as Redshift, Hadoop, Hive, Spark, and Kafka
  • Self-driven, highly motivated and able to learn quickly
  • Strong communication skills to partner with and understand the needs of every data-consuming team in the company

In the first 30 days, you will…

  • Partner with a teammate on their triage rotations
  • Contribute to the code base by making updates to existing SQL pipelines
  • Start working with all parts of our BI stack

In the first 60 days, you will…

  • Handle your triage rotation without support from teammate 
  • Start to influence how the rest of the Business Intelligence team works
  • Lead Decision Science office hours session
  • Provide feedback on the team’s onboarding processes based on your experience

In the first 90 days, you will…

  • Work directly with a business stakeholder/data scientist to improve their ability to make decisions using data
  • Build out a new data model from raw data ingestion through self-serve Looker model
  • Be able to onboard new team members to the Business Intelligence team

Information regarding data privacy is available within theUdemy Careers Privacy Notice. Candidates based in Colorado can find EPEWA information here.

We are proud to be recognized for our world class employee experience:

Business Insider SF: Best Places to Work Bay Area

Built In Colorado: Best Places to Work

Best Workplaces (Great Place to Work List): #1 in Turkey

Certified Best Place to Work:  Dublin

Fortune: Change the World Company

Udemy is headquartered in San Francisco with hubs in Ankara, Turkey; Austin, Texas; Boston, Massachusetts; Mountain View, California; Denver, Colorado; Dublin, Ireland; Melbourne, Australia; New Delhi, India; and Sao Paulo, Brazil.

This job is no longer open
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