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Veeva

Sales Analytics Engineer

Sorry, this job was removed at 11:00 a.m. (EST) on Thursday, May 08, 2025
In-Office or Remote
Hiring Remotely in Boston, MA, USA
85K-120K Annually
In-Office or Remote
Hiring Remotely in Boston, MA, USA
85K-120K Annually

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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 member of the Sales Operations Team, you will leverage best-in-class tools to architect and maintain SQL data models for the Sales Team. You will also develop dashboards that empower the Sales Team to make data-driven decisions. By collaborating with stakeholders across Sales, IT, and Operations, you will ensure that critical metrics are accurate, accessible, and actionable.

What You'll Do

  • 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 Have

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

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].

Veeva Boston, Massachusetts, USA Office

Our main office is located in downtown Boston and is within walking distance to great restaurants and cafes. Few minute walk to three T Stations.

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

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