San Francisco | California | United States
Upwork ($UPWK) is the world's largest freelancing website. Each year $1.7 billion of work happens through Upwork, allowing businesses to get more done and helping professionals break free of traditional time and place boundaries and work anytime, anywhere on projects they love. At Upwork, you'll help build on this momentum. Together, we'll create economic and social value on a global scale, providing a trusted online workplace for businesses to connect with extraordinary talent and work without limits.
Own the implementation and management of Business Intelligence technologies
Exemplify engineering excellence including, but definitely not limited to: DRY code, object inheritance, SQL query optimization, version control, and promotion of code through environments.
Enforce data governance policies and ensure data quality across our BI portfolio through SQL understanding, data reconciliation, and pull request review.
Work with analysts, data engineering technical product managers, and data engineers to productionalize repeatable reporting processes.
Evangelize and increase adoption of the BI solutions by supporting and continuously training the user community.
4+ years experience in data analytics and/or data engineering in medium and large size companies.
Minimum of 1 year experience, though preferably 2+ years, with Looker’s LookML language OR deep experience with application engineering and a proven ability to teach yourself new languages
Training and teaching experience
Expert-level SQL knowledge; experience with PostgreSQL a preference
Ability to read and write code including scripting (Bash Shell, Python, Java, and/or Perl)
Expertise in working on both sides of the business analysis divide, between data engineers writing scripts and stakeholders looking for business performance insights
1+ years of client-facing production responsibility
Work with Cloud based solutions and other service based architectures (AWS, REST APIs, etc)
Hands-on experience in the marketplace business model and/or user behavior tracking and analytics.
Hands-on experience with modern Business Intelligence, ETL and data warehousing technologies including no-SQL solutions
Experience in architecting and implementing enterprise level integrations