Are you a data person who loves sales people? Do you love to see your data insights come to life quickly in the field? Zoom is seeking a Data Scientist for Sales Growth Insights to work as an embedded resource to Zoom’s Global Sales and Revenue leadership team. This data scientist will have a passion for the way advanced analytics and business intelligence accelerate Zoom’s revenue growth. The core areas this role will develop include, but aren’t limited to:

• Aligning the right sales play and the right sales channel to the right opportunity 

• Increasing the upsell and cross-sell of new products to Happy Zoom Customers

• Identifying high potential new opportunities through purchase intent modeling

• Improving targeted, timely sales activity through ownership of core sales metrics and data management 

What you’ll do:

• Leverage your builder-minded data science archetype to build midsize business intelligence (BI) solutions for sales and revenue insights: data sets, queries, reports, dashboards, analyses – or components of larger solutions to answer business questions with data.

• Use well-defined requirements to build a solution that enables effective, data-driven business decisions. Deliver data products in an Agile environment.

• Create and populate data structures using one or more schema definition languages (e.g. DDL, SDL, XSD, RDF)

• Write secure, stable, testable, and maintainable code with minimal defects, and automate manual processes where possible

• Use Tableau, Salesforce, and Snowflake to deliver actionable insights to stakeholders. 

• Invent, refine, and develop BI solutions to ensure they meet the needs of the business and team goals

• Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutions

• Conceive and build solutions that seamlessly blend sales operations (i.e. Salesforce) data with product user analytics. Empower our sales teams to make strategic, data-driven decisions. 

• Develop a deep understanding of the SaaS/UCaaS industry and be able to understand how industry trends impact your work. 

Basic Qualifications

• Bachelor’s Degree in statistics, computer science, computer engineering, information management/systems, business analytics or other equivalent technical discipline.

• Experience with data querying or modeling with SQL

• Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)

• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI).

Preferred Qualifications

• Experience with scripting language. Most of the Data Team at Zoom uses Python or R.

• Demonstrated ability to build end-to-end self-service analytics solutions (i.e. data modeling, dataset creation, refresh schedules, and visualizations). We use Tableau, dbt, and Snowflake.

• Demonstrated Tableau experience such as level of detail (LOD) calculations, parameters, row level security (RLS), etc. 

• Application of basic statistical methods (e.g. t-test, Chi-squared,regression) for difficult business problems.

• Experience working with CRM, Salesforce or SaaS data.

• Enjoys ambiguity in a fast-paced environment

• Excellent verbal/written communication skills and data presentation skills

Ensuring a diverse and inclusive workplace where we learn from each other is core to Zoom’s values. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law.

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.

All your information will be kept confidential according to EEO guidelines.

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