Senior Analytics Engineer

Senior Analytics Engineer

This job is no longer open
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:

    • 3+ 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
#LI-RA1

About Udemy
We believe anyone can build the life they imagine through online learning. Today, millions of students around the world are advancing their careers and passions by exploring and mastering new skills on Udemy, and expert instructors are able to share their knowledge with the world. Through our global marketplace and our solutions for businesses and governments, we connect people everywhere with the skills they need for success in work and life. We’re a close-knit bunch that enjoys problem-solving and collaboration, and we share a serious belief in the power of learning and teaching to change lives. Udemy’s culture encourages innovation, creativity,passion, and teamwork. We also celebrate our milestones and support each other every day.

Founded in 2010, Udemy is privately owned and headquartered in San Francisco’s SOMA neighborhood with offices in Denver (Colorado), Dublin (Ireland), Ankara (Turkey), Gurugram (India), and São Paulo (Brazil).

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 will consider for employment qualified applicants with arrest and conviction records.

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