Sales Analytics Engineer

Full-time - Mid Level

Boston, MA

About the position

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

Responsibilities

• Develop a strong understanding in Veeva’s CRM
• Work closely with the IT Data Engineering Team to gain a strong understanding of Veeva’s modern Data and Analytics stack
• Build, maintain, and optimize the core Sales Operations data models and any net new data models in SQL
• Build and maintain Sigma dashboards and reports that provide key business metrics and insights to stakeholders across the Sales Team
• Ensure data integrity, consistency, and reliability across data models, dashboard, and reports
• Partner with non-technical stakeholders to capture business needs and condense them into technical requirements for analytics
• Be responsive, build with speed and iterate quickly, take ownership of the Sales Team data needs and opportunities, stay curious, and build data assets that help the business

Requirements

• Bachelor's degree in Business Intelligence, Data Analytics
• 5+ years of experience in Sales Analytics or Pipeline Analytics
• 5+ years of experience working with Enterprise CRM systems and their backend data models
• 1+ years of experience working in a SaaS company
• Strong communication and collaboration skills in gathering requirements for data models and dashboards with IT and stakeholders
• Expert-level SQL skills with advanced data modeling techniques with proven ability to architect complex data models from scratch for analytics and reporting
• Have hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker, or Sigma) to build / support self-serve dashboards that enable non-technical teams
• Strong experience with modern data warehouse / data lake platforms (Databricks, Snowflake, Big Query, and Redshift)

Nice-to-haves

• Experience using Python for data processing and automation
• Hands-on experience building data models with dbt

Benefits

• Medical, dental, vision, and basic life insurance
• Flexible PTO and company paid holidays
• Retirement programs
• 1% charitable giving program