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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 ...

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 17, 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, data science, or life sciences is required. Developing skills in data analysis tools such as SQL, Excel, and statistical software, along with knowledge of the pharmaceutical industry and regulatory standards, 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.

88-50101857 Data Analytics Manager

F. Hoffmann-La Roche AG

San Jose, CA • On-site

$186K - $243K/yr

Full-time

Re-posted 3 days ago

Job description

The Position
Genentech USA, Inc. seeks a Data Analytics Manager at its South San Francisco, CA location.
Duties: In this individual contributor role, collaborate with stakeholders to research and understand markets and applications to business needs, key questions, and priorities, and ensure alignment with project objectives and analytic lead direction in a highly-matrixed organization. Perform custom analyses by applying appropriate analytic techniques to address business challenges. Contribute to continuous organizational improvement by sharing best practices, identifying opportunities for automation, and enhancing the efficiency and impact of analytic workflows. Play an active role in the adoption of analytical products by staying up to date on the product roadmap, participating in training, user testing (as needed), and providing constructive feedback to ensure products are integrated into workflows. Embed and integrate products into workflows and foster Data, Analytics, and AI's product-first culture. Effectively interact with and guide offshore teams to ensure alignment with project objectives and maintain high-quality deliverables. Actively contribute to the community of practice by sharing knowledge, participating in discussions, and supporting peers to enhance collective expertise and drive continuous improvement. Build proficiency in tailoring communication to specific audiences, communicating and influencing senior leaders and simplifying details for stakeholder buy-in. Demonstrates the ability to independently handle project tasks, and proactively seeks managerial guidance as needed. Proactively identifies risks and seeks manager input to drive positive project outcomes. Deliver impactful insights and analytics (depending on team alignment):
  • Market Research: Conduct qualitative and quantitative research with patients, caregivers, healthcare providers, and other stakeholders in the healthcare ecosystem to assess and improve the patient experience.
  • Forecasting: Generate revenue and supply forecasts, perform uncertainty analyses, and provide actionable insights to inform strategic business decisions.
  • Competitive Intelligence: Monitor and track the competitive landscape, assess competitive threats, and gather intelligence from key national and regional medical conferences to inform strategy and positioning.
  • Data Analytics: Analyze secondary and structured datasets to surface actionable insights that benefit customers and patients.
  • Access: Apply expertise in managed care to assess the impact of payer management, coverage, coding, pricing, contracting, and other reimbursement drivers, and work to remove barriers to Genentech therapies while improving the overall customer experience.
  • Digital Measurement: Design and conduct digital analytics and performance measurement to generate insights that inform strategy.

May telecommute up to 2 days per week.
Education and experience required: Bachelor's degree, or foreign equivalent, in Business Analytics, Data Science or related field and 2 years of experience as data analyst, data scientist, or related position
Special Requirements: Academic or Professional experience must include:
  • Pharma Data Analytics
  • Data Visualizations for Business Reporting and KPIs tracking
  • Statistical modeling and coding
  • Synthesizing complex analytical work into simple strategic narratives
  • Programming & Scripting Language for Claims & Sales data retrieval and processing
  • Data Science Algorithms Sales forecast, A/B test, hypothesis testing
  • Strategic operations, Analysis design, measurement planning

#LI-DNI #DNI #DE-DNI
The expected annual salary range for this position based on the primary location for this position of California is $186,240 to $243,900 per year. Actual pay within the range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits (https://roche.ehr.com/default.ashx?CLASSNAME=splash)
Worksite: 1 DNA Way, South San Francisco, CA 94080
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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