The Sales Analytics Engineer will collaborate with sales teams to provide analytics, develop forecasting models, and create scalable insights tools.
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.
The Role
As a Sales Analytics Engineer you will partner with sales and sales operations teams to bring analytics to the Veeva sales organization. You will work to produce relevant and proactive insights for the sales team, productize ad-hoc projects and increase the overall organization’s speed to insight.
What You'll Do
- Partner with sales and sales operations teams to become an expert in the sales process
- Develop forecasting models to challenge sales teams and provide a long-term outlook
- Productize ad-hoc analyses into scalable, repeatable tools for sales
- Develop data driven proactive insights and delivery models for sales teams
- Work closely with Data Engineering to optimize data pipelines for analytics needs
- Build testing and monitoring so that our teams can have confidence in the data we provide to them
- Take data governance and security seriously, and be mindful of those aspects in everything we build
- Have a user-centered design mindset -build things that people like using
- Define and document best practices and strategies regarding application deployment and infrastructure maintenance, and maintain cloud knowledge management
Requirements
- 5+ years of experience in data analytics or business intelligence
- 4+ years’ experience with data visualization tools (e.g., Tableau, Power BI, Looker, or Sigma)
- 4+ years’ SQL experience, working with advanced data modeling technique
- Experience working with modern data warehouse / data lake platforms (Databricks, Snowflake, Big Query or Redshift)
- Experience working within a sales or marketing org
Nice to Have
- Sigma experience
- Databricks & DBT experience
Perks & Benefits
- Medical, dental, vision, and basic life insurance
- Flexible PTO and company paid holidays
- Retirement programs
- 1% charitable giving program
Compensation
- Base pay: $85,000 - $120,000
- The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
#LI-RemoteUS
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected].
Top Skills
Big Query
Databricks
Looker
Power BI
Redshift
Sigma
Snowflake
SQL
Tableau
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