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Pharma Data Analyst Jobs in California (NOW HIRING)

... Analyst to work on data standards and migration. The role involves translating business ... Required : • Pharma Domain Mandatory • Experience with CDISC, BRIDG, HL7 and other related ...

[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 ...

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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 30, 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 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:

Infographic showing various Pharma Data Analyst job openings in California as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 55% In-person, 11% Hybrid, and 34% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Business Data Analyst

Keylent Inc

San Francisco, CA • On-site

Full-time

Re-posted 12 days ago


Job description

Job Summary:
Keylent Inc is a company focused on data management solutions, and they are seeking a Business Data Analyst to work on data standards and migration. The role involves translating business requirements into data definitions, managing data standards, and facilitating communication between technical and non-technical stakeholders.
Responsibilities:
• Translating business requirements, process documentation, system/report specifications, integrated data flows and data models into proposed data definitions, metadata specifications, and data variant/dimensional policies creating fit for purpose standards appropriately aligned with industry standards, compliance requirements and internal Data Governance policies and procedures.
• Working with sponsors, standards core and governance teams to define stakeholders, propose data standards and adjudicates feedback from stakeholders Previous experience in managing data and developing data standards.
• Experience with CDISC, BRIDG, HL7 and other related pharma development data standards Data modelling. Understands the concepts and principles of data modelling and is able to produce relevant data models across multiple subject areas. Understands industry recognized data modelling patterns and standards and when to apply them. Experience in data modeling / architecture principles and techniques.
• Data Management. Awareness of the key aspects of managing data through its lifecycle, including understanding of data ownership, data quality and associated data governance principles.
• Communicating between the technical and the non-technical. Able to listen to the needs of technical and business stakeholders and interpret between them. Regularly manages stakeholders' expectations, providing proactive and reactive communication. Brings strong written and verbal communication and interpersonal skills.
• Analyze business scenarios that may potentially be solved by implementation of automated systems and/or modifications to business processes. Provide expertise in identification, evaluation, design, development, and deployment of systems and/or processes.
• Play a key role – as part of a project team or M&E – in delivery of solutions that are cost effective, sustainable, and meet business requirements.
• Accountable for documentation, which may include, but is not limited to:
• User Requirements
• Functional and/or technical specifications
• Process flow diagrams
• Training documentation and/or work instructions
• Depending on the application and/or function, may configure system settings and/or options
• Provide consultation to customers regarding enhancement/improvement of current solutions and implementation of new solutions – both systems and processes
• Facilitate and/or support customers in UAT planning and execution
• Participate in and advise roadmap discussions; key member of vendor assessment teams
• Drive resolution of business or systems issues
Qualifications:
Required:
• Pharma Domain Mandatory
• Experience with CDISC, BRIDG, HL7 and other related pharma development data standards Data modelling
• Understands the concepts and principles of data modelling and is able to produce relevant data models across multiple subject areas
• Understands industry recognized data modelling patterns and standards and when to apply them
• Experience in data modeling / architecture principles and techniques
• Awareness of the key aspects of managing data through its lifecycle, including understanding of data ownership, data quality and associated data governance principles
• Able to listen to the needs of technical and business stakeholders and interpret between them
• Regularly manages stakeholders' expectations, providing proactive and reactive communication
• Brings strong written and verbal communication and interpersonal skills
• Analyze business scenarios that may potentially be solved by implementation of automated systems and/or modifications to business processes
• Provide expertise in identification, evaluation, design, development, and deployment of systems and/or processes
• Accountable for documentation, which may include, but is not limited to: User Requirements, Functional and/or technical specifications, Process flow diagrams, Training documentation and/or work instructions
• Depending on the application and/or function, may configure system settings and/or options
• Provide consultation to customers regarding enhancement/improvement of current solutions and implementation of new solutions – both systems and processes
• Facilitate and/or support customers in UAT planning and execution
• Participate in and advise roadmap discussions; key member of vendor assessment teams
• Drive resolution of business or systems issues
Company:
Keylent provides Software Development Services in the Cloud, Analytics and Digital Transformation space. Founded in 2010, the company is headquartered in Wilmington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Keylent logo

About Keylent

Sourced by ZipRecruiter

Keylent Inc, based in Wilmington, DE, US, operates in the dynamic IT services and solutions industry. Their official platform, keylent.com, further details their robust suite of services which primarily comprise software consulting, quality assurance, project management, and business intelligence. Keylent Inc has been an integral part of the industry since its inception, serving diverse clients with their specialized, innovative IT solutions. This customer-centric firm is founded on the core values of reliability, integrity, and zealous innovation. Their mission is to empower businesses in navigating the complex technological landscape with ease, efficiency, and confidence. Notably, Keylent Inc has been recognized for its commitment to exceptional service delivery and the profound impact of its solutions in facilitating business growth.

Industry

Internet and it

Company size

11 - 50 Employees

Headquarters location

Wilmington, DE, US

Year founded

2010

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