Data Analytics Lead

Veeva Systems

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Pleasanton, CAColumbus, OHBoston, MAKansas City, MONew York, NYRaleigh, NCToronto, Ontario, Canada
Salary
$200,000–$300,000 / yr
Posted
68 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $170k
This role $250k
$107k $321k
below market most similar roles pay here above market

This role pays more than 95% of similar roles. Most pay $142,300–$198,087 — the blue band above. At the midpoint, this role pays about $250k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About Veeva Systems

Veeva Systems is a cloud software company serving the global life sciences industry, providing CRM, clinical, regulatory, quality, and data applications used by pharmaceutical and biotech companies.

Veeva Systems currently has 72 open roles on FindRole.

Listed pay typically runs $80,000–$175,000 across 69 roles with salary data.

Most-posted roles

View all roles at Veeva Systems

At a glance

TL;DR · Data Analytics Lead

The Data Analytics Lead joins the Analytics team to own data systems and measurement analyses at the intersection of products, customers, and commercial strategy. You will lead a team of analysts and engineers to architect and scale a modern, AI-ready data platform. Daily responsibilities include upgrading data architecture for high fidelity, guiding customer data integrations, and executing custom analytical requests for clients. You will also partner with product teams to surface insights that govern product evolution. The role requires deep expertise in SQL, Python, data modeling, and advanced quantitative analysis. Candidates must possess a technical degree and experience in the pharmaceutical or life sciences industry. This position solves complex problems regarding AI-enabled omnichannel engagement across the patient and prescriber lifecycle within a life sciences marketing context.

What you'll do

  • Upgrade existing data architecture to be high fidelity, AI-ready, and accessible for internal and external users.
  • Guide the execution of data integrations into select customer systems in partnership with solutions engineering.
  • Improve the standard suite of analytics and measurement insights in collaboration with the product team.
  • Execute custom analytical requests for clients in partnership with the client services team.
  • Direct and grow a team of data analysts and data engineers.
  • Architect and scale the next generation of the data platform to support commercial strategy.

What we're looking for

  • Deep, hands-on expertise in SQL and Python is required.
  • Strong capabilities in data modeling, advanced quantitative analysis, and working with large data sets are required.
  • Strong command of modern data architecture, particularly in enabling AI readiness, is required.
  • 10+ years of progressive experience in data science/analytics and/or data engineering roles is required.
  • Experience in a managerial capacity leading teams is required.
  • Recent work experience related to the pharmaceutical or life sciences industry is required.
  • An undergraduate or master's degree in a technical discipline is required.

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