ZipRecruiter

Log In

1

Engineering Data Analytics Lead Jobs in San Ramon, CA

Motocol

Data analytics Architect

San Jose, CA

Support development lead in determining architecturally significant requirements for data analytics solutions; Design big data platform API; Provide guidance and mentor developers in the data ...

Hyperbolic Labs

Senior Data Lead

San Francisco, CA · On-site

About the Role We're seeking a data analytics lead to establish and own the data foundation for our ... Data engineering skills or familiarity with data pipeline development * Experience at high-growth ...

Samsung SDS

Data analytics architect

San Jose, CA · On-site

Support development lead in determining architecturally significant requirements for data analytics solutions; Design big data platform API; Provide guidance and mentor developers in the data ...

QuinStreet

Lead Data Analyst

Foster City, CA · Remote

$120K - $160K/yr

Key liaison between business and technical teams in managing day to day data analytics. * Lead a ... Engineering, Math/Science, or otherwise proven background in business/analytics. MS preferred ...

Samsung SDS

Data analytics architect

San Jose, CA · On-site

Support development lead in determining architecturally significant requirements for data analytics solutions; Design big data platform API; Provide guidance and mentor developers in the data ...

Samsung SDSA

Data analytics architect

San Jose, CA · On-site

... lead in determining architecturally significant requirements for data analytics solutions; • Design big data platform API; • Provide guidance and mentor developers in the data analytics team;

Parafin

Data Analytics Engineer

San Francisco, CA · Remote

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models ... Partner with Product, Engineering, Finance, Risk, and Operations to understand data needs and ...

Samsung SDSA

Data analytics architect

San Jose, CA · On-site

... lead in determining architecturally significant requirements for data analytics solutions; • Design big data platform API; • Provide guidance and mentor developers in the data analytics team;

Parafin, Inc

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models ... Partner with Product, Engineering, Finance, Risk, and Operations to understand data needs and ...

Deloitte

Data & Analytics Engineer

San Jose, CA · Hybrid

$134K - $161K/yr

... engineering and scientists, to identify requirements that will derive the creation of sensible ... Lead day-to-day operations to ensure organizational delivery of quality results. * Responsible for ...

Samsung

Data Analytics Developer

San Jose, CA · On-site

Company Description We are seeking a developer to join the data analytics team with at least 5 ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.

next page

Showing results 1-20

All JobsEngineering Data Analytics Lead JobsEngineering Data Analytics Lead Jobs in San Ramon, CA

Engineering Data Analytics Lead information

See San Ramon, CA salary details

$67.6K

$138.4K

$195.6K

How much do engineering data analytics lead jobs pay per year?

As of Sep 13, 2026, the average yearly pay for engineering data analytics lead in San Ramon, CA is $138,403.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $171,500.00 per year, depending on experience, location, and employer.

What does an engineering data analytics lead do?

An Engineering Data Analytics Lead oversees the collection, analysis, and interpretation of data to support engineering projects and decision-making. They manage data analytics teams, develop strategies to leverage data for process improvements, and ensure data quality. Their role bridges the gap between engineering and data science, providing insights that drive efficiency, innovation, and business growth. They also collaborate closely with engineers, stakeholders, and leadership to align data initiatives with organizational goals.

How does an engineering data analytics lead typically collaborate with engineering and business teams to drive data-driven decisions?

As an Engineering Data Analytics Lead, you'll regularly bridge the gap between technical engineering teams and business stakeholders. You’ll translate complex data findings into actionable insights, guide data collection strategies, and ensure analytics align with broader organizational goals. Collaboration often involves leading cross-functional meetings, designing data dashboards for engineers, and advising business leaders on how data can inform project priorities. This role requires strong communication skills, as you'll need to distill technical details for non-technical audiences and foster a culture of data-driven decision-making across departments.

What are the key skills and qualifications needed to thrive as an engineering data analytics lead, and why are they important?

To excel as an Engineering Data Analytics Lead, you need expertise in data analysis, statistical modeling, and engineering principles, typically supported by a degree in engineering, mathematics, or a related field. Proficiency with analytics tools such as Python, R, SQL, and data visualization platforms, as well as experience with big data systems like Hadoop or Spark, is crucial. Strong leadership, problem-solving abilities, and clear communication are essential soft skills for guiding teams and translating complex data into actionable insights. These skills enable effective decision-making, drive innovation, and ensure successful data-driven strategies within engineering projects.

What cities near San Ramon, CA are hiring for Engineering Data Analytics Lead jobs?

Cities near San Ramon, CA with the most Engineering Data Analytics Lead job openings:

Data Analytics Lead - Veeva Ostro

San Francisco, CA • On-site

Veeva Systems, Inc.
Software Development • 1 - 5K employees
Learn more about Veeva Systems, Inc.external

Other

Posted 17 days ago

Key responsibilities

  • Own and develop the data systems and measurement analyses related to the company's products, customers, and commercial strategy.

  • Collaborate with product, client service, and engineering teams to design, build, and scale data architecture, integrations, and analytics solutions.

  • Lead and mentor a team of data analysts and data engineers to enhance data analysis capabilities and deliver customized analytical insights.

Veeva Systems rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

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 $3B 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

Veeva Ostro sits at the intersection of life sciences, marketing, and artificial intelligence. We empower pharmaceutical brands, healthcare providers (HCPs), and patients by orchestrating AI-enabled omnichannel engagement across the entire patient and prescriber lifecycle.

As the Data Analytics Lead, you will own the data systems and associated measurement analyses that sit at the intersection of our products, customers, and commercial strategy. Our products generate significant data as users ask questions and take action, and you will work with the product team to surface and execute on insights that govern how our product evolves. This data is also used by our customers in their planning efforts, and you will work closely with our client service and implementation teams to enable and deliver on customized analyses that reflect the nuances of each client’s strategy. To deliver on the above, you will proactively architect, build, and scale the next generation of our data platform to make it modern, scalable, and AI-ready.

What You'll Do

  • Modern Data Architecture & Engineering: Work alongside platform and data engineers to upgrade our existing data architecture to be high fidelity, AI-ready, and easily accessible for both internal and external users
  • Customer Data Integrations: Guide the execution of data integrations into select customer systems in partnership with our solutions engineering team
  • Product Analyses: Uplevel our standard suite of analytics and measurement insights in partnership with our product team
  • Custom Analyses: Execute on client-specific, custom analytical requests in partnership with our client services team
  • Leadership & Team Mentorship: Direct and grow a team of data analysts and data engineers

Requirements

  • Deep, hands-on expertise in SQL / Python and strong capabilities in data modeling, advanced quantitative analysis, and working with large data sets
  • Strong command of modern data architecture particularly in enabling AI readiness. You will not be the sole engineer building every component yourself, but you need enough technical depth to actively participate in the design and build
  • 10+ years of progressive experience in data science/analytics and/or data engineering roles including in a managerial capacity leading teams
  • Recent work experience should relate to the pharmaceutical / life sciences industry (not necessarily at a pharmaceutical / life sciences company)
  • Undergrad or masters in a technical discipline (computer science, statistics, engineering, math, physics, etc.)

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.

#J-18808-Ljbffr

What Veeva Systems employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply