Senior Data Analyst

Zoom Communications, Inc.

Immigration sponsorship is not available for this position.

• Define KPIs and success metrics for accurate reporting and actionable insights by working closely with stakeholders from Sales, Strategy, Channel, and Customer Success.
• Collaborate with Data Product Managers to translate business needs into an actionable roadmap.
• Lead end-to-end solution delivery by defining requirements, establishing timelines, prioritizing tasks, and conducting code reviews.
• Create technical designs and engage with enterprise architecture teams to ensure adherence to development standards and interoperability with various applications.
• Design, develop, deliver, and maintain flexible source of truth data models that can be used to power dashboards and other embedded data solutions.
• Collaborate with data engineering teams to design data pipelines to power key data models.
• Effectively articulate data insights and actions to all audiences including the C-suite.
• Coach and mentor junior team members.

Requires a Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Electronic Engineering, or a foreign degree equivalent. Must have 7 years of experience in the offered or related occupation.

• Utilizing Snowflake SQL to query, blend, and model data for analysis.
• Utilizing DBT in data modeling and transformation.
• Utilizing Elementary to create data quality checks.
• Utilizing Python (Pandas) in data analysis.
• Utilizing Tableau to build enterprise BI reporting.
• Performing SQL query optimization to reduce execution time and processing costs.
• Performing advanced data analytics enabling data‑driven quarterly business reviews and cost optimization.
• Contributing to the design of data pipelines to track and report on utilization and effectiveness of solutions.
• Implementing enterprise data catalog to ensure documentation is available to business users.
• Telecommuting work arrangement permitted: position may work in various unanticipated locations throughout the U.S. Position does not require domestic or international travel.

In lieu of a Bachelor's degree, Zoom is also willing to accept a Master’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Electronic Engineering, or a foreign degree equivalent. Must have 5 years of experience in the offered or related occupation.

• Utilizing Snowflake SQL to query, blend, and model data for analysis.
• Utilizing DBT in data modeling and transformation.
• Utilizing Elementary to create data quality checks.
• Utilizing Python (Pandas) in data analysis.
• Utilizing Tableau to build enterprise BI reporting.
• Performing SQL query optimization to reduce execution time and processing costs.
• Performing advanced data analytics enabling data‑driven quarterly business reviews and cost optimization.
• Contributing to the design of data pipelines to track and report on utilization and effectiveness of solutions.
• Implementing enterprise data catalog to ensure documentation is available to business users.
• Telecommuting work arrangement permitted: position may work in various unanticipated locations throughout the U.S. Position does not require domestic or international travel.

Minimum: $

Maximum: $

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration base salary, bonus and equity value.

Note:

Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure; there may be a different range for candidates in this and other locations.

Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In‑Person is indicated in the job description/posting.

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.