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Pharma Data Analyst Jobs in California (NOW HIRING)

ProcDNA

[SSF] Sr Analyst - Analytics

San Francisco, CA · On-site

$103K - $137K/yr

Use emerging tech and industry best practices to address challenges in healthcare and pharma. * Data Structuring & Analysis: Structure and model complex data to build statistical models and BI tools ...

Abbott

Data Analyst _ Supply Chain

Los Angeles, CA · On-site

$90K - $180K/yr

Develop and maintain datasets that support analysis of supply chain performance, inventory health ... Prior experience in a regulated industry (medtech, pharma, or similar) where data governance and ...

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All JobsPharma Data Analyst JobsPharma Data Analyst Jobs in California

Pharma Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do pharma data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for pharma data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What does a Pharma Data Analyst do?

A Pharma Data Analyst collects, processes, and interprets data related to pharmaceuticals, including clinical trials, sales, and market trends. They use statistical tools and data visualization techniques to identify patterns and insights that support decision-making in drug development, regulatory compliance, and business strategy. Their role helps improve patient outcomes, optimize drug production, and drive business growth.

What are the key skills and qualifications needed to thrive as a Pharma Data Analyst?

To thrive as a Pharma Data Analyst, you need strong analytical skills, a background in life sciences or related fields, and proficiency in statistics and data interpretation. Familiarity with tools such as SQL, SAS, Python, or R, as well as experience with clinical trial databases and certifications like SAS Certified Specialist, are often expected. Excellent attention to detail, effective communication, and the ability to work collaboratively across multidisciplinary teams are valuable soft skills. These competencies ensure accurate analysis and reporting, drive data-driven decisions, and support regulatory compliance in the pharmaceutical industry.

What are some typical challenges Pharma Data Analysts face on the job?

Pharma Data Analysts often work with large, complex datasets from clinical trials and real-world evidence, which can present challenges in data integration, cleaning, and ensuring data quality. Additionally, analysts must stay current with evolving industry regulations and standards for data reporting, such as those from the FDA or EMA. Collaborating across different departments—such as clinical research, regulatory affairs, and biostatistics—requires strong communication skills and adaptability. These challenges offer opportunities to develop advanced technical expertise and deepen understanding of drug development processes.

How to become a pharmaceutical data analyst?

To become a pharmaceutical data analyst, typically a bachelor's degree in fields like statistics, biology, or data science is required. Developing skills in data analysis tools such as SQL, Excel, and statistical software, along with knowledge of the pharmaceutical industry, is essential. Gaining experience through internships or entry-level roles can also improve job prospects.

What are the most commonly searched types of Pharma Data Analyst jobs in California?

The most popular types of Pharma Data Analyst jobs in California are:

What are popular job titles related to Pharma Data Analyst jobs in California?

For Pharma Data Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Pharma Data Analyst jobs in California look for?

The top searched job categories for Pharma Data Analyst jobs in California are:

What cities in California are hiring for Pharma Data Analyst jobs?

Cities in California with the most Pharma Data Analyst job openings:

Pharma Data Analyst jobs near you
Infographic showing various Pharma Data Analyst job openings in California as of August 2026, with employment types broken down into 60% Full Time, 5% Part Time, and 35% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Manager / Senior Manager (Data & AI) - Commercial Pharma (1281)

Axtria, Inc.

San Mateo, CA • On-site

$119K - $163K/yr

Full-time

Re-posted 18 hours ago

Job description

Introduction
Axtria is a leading global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.
Since our founding in 2010, innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsIQ™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable clients to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations. We work with over 100 Life Sciences companies, many with multiple engagements globally across 75+ countries. We continue to win industry recognition for growth and are featured in some of the most aspirational lists - INC 5000, Deloitte FAST 500TM, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards.
Axtria is looking for exceptional talent to join our rapidly growing global team. People are our biggest perk! Axtria is recognized for its organizational culture in both US and India, including certification by the Great Place to Work® Institute. Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry. Axtria Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment. A customized career progression plan ensures every Axtrian is setup for success and able to do meaningful work in a fun environment. We want our legacy to be the leaders we produce for the industry. Will you be next?
About the Role
We are looking for a Context Layer (Techno-Functional) specialist to help bridge pharmaceutical business needs with data and AI solutions. You'll work with commercial pharma data such as Sales, Field Activity, and Market Access and leverage knowledge of CAR-T ecosystem to help shape data and AI solutions built on Databricks Genie and AWS. This role is a great fit for someone who enjoys bridging business and technology.
Key Responsibilities
  • Partner with commercial business teams to understand needs across pharmaceutical domains like Sales, Field Activity, and Market Access etc., and translate them into clear data and technical requirements.
  • Build and maintain context layer, semantic models, business glossaries, and mappings that connect business concepts to data and AI Assets
  • Apply CAR-T and pharma commercial knowledge to help shape data structures and business rules.
  • Support the configuration of data and AI solutions using Databricks Genie and AWS services
  • Help validate and document solutions, ensuring they reflect business intent accurately.

Skills & Qualifications
  • Good communication and stakeholder management skills; comfortable working with both business and technical teams.
  • Strong Understanding of pharmaceutical data domains such as Sales, Field Activity, or Market Access etc.
  • Knowledge of the CAR-T ecosystem, market dynamics, and the broader pharma commercial landscape.
  • Experience with Databricks and AWS services relevant to data and AI solutioning, and a strong willingness to learn cloud/data platforms (Databricks, Snowflake, AWS or equivalent).
  • Excellent knowledge of SQL and Python skills.
  • Bachelor's degree in Life Sciences, Computer Science, Information Systems, Engineering, or a related field.

Experience:
  • 6+ years of experience in pharma commercial data, analytics, or data/AI solutioning.
  • Experience in Context Layer + AI/GenAI.

Eligibility
  • Open to candidates based in, or willing to work from, the San Francisco Bay Area (hybrid).
  • Must be authorized to work in the United States.

Pay Transparency Laws
Salary range or hourly pay range for the position
The salary range for this position is $119,500 to $163,875 annually. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location.
The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location.
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