Information Technology (IT)
Work Styles at Zoom
In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom's Workstyles.
Zoomies help people stay connected so they can get more done together. We set out to build the best video product for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.
The Data Team empowers data informed decision making across Zoom. We know that to deliver customer happiness we need to build best in class products. We support this by empowering Product with behavioral insights to help them build better products. While providing these insights, we also need to ensure that we’re meeting the consent, privacy, and regulatory needs of hundreds of millions of users worldwide.
This role will be part of the Finance team and will be collaborating closely with other data analysts, data scientists and data engineers. The Finance team works cross functionally with the business stakeholders and Big Data teams to extract insights, build data pipelines, and develop statistical models to better product sales performance, fraud, currency expansion, or payment reconciliation. This role will work closely with the Revenue, Finance, FP&A, and Tax teams to help define, measure and track success metrics and KPIs for Zoom’s products. The ideal candidate will have experience transforming product KPIs and success metrics into clear, intuitive and actionable dashboards. The ideal candidate will also have strong Python, Spark, and SQL skills in data definitions, data management and data querying to translate business logic into performant tables that power dashboards. This role will also involve analyzing data to answer key product and business questions. This individual should demonstrate strong communication skills, collaboration and an intellectual curiosity. Does this sound like you? Come join us!
Design, build and maintain ETL/ELT data pipelines.
Implement data monitoring, including basic data quality checks.
Transform raw data into scalable, performant data models that would be consumed by data analysts and data scientists.
Design, build and update foundational analytics data models that simplify analyses across the products.
Implement best practices to ensure high quality, robust data.
Develop, schedule, and monitor production-level DAGs with orchestration software, preferably Airflow
Bachelor’s degree or higher in computer science, engineering, mathematics, physics, or related technical discipline
Minimum of 8+ (6+ years with a Masters) years experience working in a data engineering role focused in finance analytics
Strong communication skills, both written and verbal
Proficient with transactional Python and while not required analytical Python too
Advanced SQL ability including dimensional modeling and data model design
Proficiency in data principles, system and data architecture, and dimensional data modeling
Experience developing orchestration/scheduling jobs (preferably Airflow)
Experience with cloud platforms (preferably AWS) and Spark
Analytical problem solving skills
Previous hands professional experience working with finance metrics, data, and systems
Experience with dbt is preferred
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at firstname.lastname@example.org.
At Zoom, we care about our employees, their families, and their well-being. As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. To view our benefits, click here.
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Zoom is aware of scams that involve fake Zoom job listings posted on third-party sites. Responding applicants are contacted primarily over email, InMail and/or chat applications by people impersonating Zoom employees. Eventually a fake offer letter is sent in exchange for personal identification information as part of a fake new-hire screening process.
Please be advised that these offers, communications and impersonations are illegitimate and fraudulent. All communication with Zoom employees come from an “@zoom.us” email address. Zoom job applicants complete an interview process including in-person (on Zoom) meetings and phone calls. Our process also requires you to create an account with our applicant tracking system, Workday. If you have already completed an application, you can access it here.
Zoom will never ask for your personally identifying information during the interview process or ask you to pay money or purchase equipment. If you have received a message from Zoom that appears suspicious, please contact email@example.com.
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