Data Analytics Lead

Veeva Systems

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$200,000–$300,000 / yr
Posted
22 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k
This role $250k
$123k most similar roles pay here $319k

This role pays more than 94% of similar roles. Most pay $145,975–$211,200 — the shaded band above. At the midpoint, this role pays about $250k versus about $179k 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 93 open roles on FindRole.

Listed pay typically runs $80,000–$165,000 across 82 roles with salary data.

Most-posted roles

View all roles at Veeva Systems

At a glance

TL;DR · Data Analytics Lead

As the Data Analytics Lead within the Analytics team, you will own data systems and measurement analyses at the intersection of products, customers, and commercial strategy. You will collaborate with product teams to surface insights for product evolution while partnering with client service and implementation teams to deliver customized analyses tailored to specific client strategies. Your core responsibilities include architecting and scaling a modern, AI-ready data platform, managing customer data integrations, and mentoring a team of analysts and engineers. To succeed, you must possess deep expertise in SQL and Python, along with strong capabilities in data modeling, advanced quantitative analysis, and handling large datasets. This role addresses the challenge of orchestrating AI-enabled omnichannel engagement within the pharmaceutical and life sciences industry to improve outcomes for healthcare providers and patients throughout the prescriber lifecycle.

What you'll do

  • Upgrade existing data architecture to be high fidelity, AI-ready, and accessible for internal and external users.
  • Partner with the product team to develop and improve standard suites of analytics and measurement insights.
  • Execute custom analytical requests tailored to specific client strategies in collaboration with the client services team.
  • Guide the execution of data integrations into customer systems alongside the solutions engineering team.
  • Manage, mentor, and grow a team of data analysts and data engineers.
  • Design and build scalable data platforms that support both product evolution and customer planning.

What we're looking for

  • Must have 10+ years of experience in data science, analytics, or data engineering roles.
  • Must have experience in a managerial capacity leading teams.
  • Must possess deep, hands-on expertise in SQL and Python.
  • Must demonstrate strong capabilities in data modeling, advanced quantitative analysis, and working with large datasets.
  • Must have a strong command of modern data architecture to enable AI readiness.
  • Recent work experience must relate to the pharmaceutical or life sciences industry.
  • Must hold an undergraduate or master's degree in a technical discipline such as computer science, statistics, engineering, math, physics, etc.

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