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Freelance Pharma Data Analyst Jobs (NOW HIRING)

Data Analyst

Austin, TX ยท On-site

$35 - $45/hr

We are seeking a skilled Data Analyst to perform complex data analysis supporting both ad-hoc and ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Data Analyst

Austin, TX ยท On-site

$40 - $50/hr

We are seeking a Data Analyst to support complex business reporting, ad hoc analysis, and dashboard ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Data Analyst

New York, NY ยท On-site +1

$85K - $95K/yr

Data Analyst Location: Atlanta, GA | NYC, NY | Remote, USA Employment Type: Full-time, Salaried Who ... We ethically connect HCPs to pharma resources, reduce go-to-market costs and accelerate patient ...

Data Analyst Location: Atlanta, GA | NYC, NY | Remote, USA Employment Type: Full-time, Salaried Who ... We ethically connect HCPs to pharma resources, reduce go-to-market costs and accelerate patient ...

Senior Data Analyst

Cary, NC ยท On-site

$80K - $101K/yr

TITLE: Senior Data Analyst DUTIES: Produce business and market intelligence by querying data ... Must also have 6 months of experience in Working with bio-pharma clinical or portfolio data. Able ...

Required Experience & Skills Pharma Analytics:Minimum of 3 plus years of relevant knowledge using data science and/or analytical techniques to deliver measurable impact in the commercial pharma ...

Required Experience & Skills Pharma Analytics:Minimum of 3 plus years of relevant knowledge using data science and/or analytical techniques to deliver measurable impact in the commercial pharma ...

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Freelance Pharma Data Analyst information

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How much do freelance pharma data analyst jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for freelance pharma data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Freelance Pharma Data Analyst vs Freelance Clinical Data Analyst?

AspectFreelance Pharma Data AnalystFreelance Clinical Data Analyst
CredentialsTypically requires a degree in pharmacy, life sciences, or related field; certifications like CDMP or SAS are commonRequires a degree in health sciences, biostatistics, or related; certifications like CDM or SAS are often preferred
Work EnvironmentPrimarily works with pharmaceutical companies, research organizations, or as a freelancer for drug development projectsWorks mainly with clinical research organizations, hospitals, or as a freelancer for clinical trial data management
Industry UsageUsed in drug development, regulatory submissions, and market analysisUsed in clinical trial data management, regulatory compliance, and patient safety studies

While both roles involve data analysis within the pharmaceutical and healthcare sectors, a Freelance Pharma Data Analyst focuses on drug development and market data, whereas a Freelance Clinical Data Analyst specializes in managing and analyzing clinical trial data. Understanding these differences helps professionals target the right opportunities and clients.

How much does a freelance pharma data analyst make?

Freelance pharma data analysts typically earn between $30 and $80 per hour, depending on experience, expertise, and project complexity. Annual income varies widely based on workload, with experienced analysts earning higher rates for specialized skills such as statistical analysis and data visualization using tools like SAS or R.

Can I do freelancing as a freelance pharma data analyst?

Yes, freelance pharma data analysts can work independently by offering services such as data management, statistical analysis, and reporting to pharmaceutical companies, research organizations, or consulting firms. Success in freelancing often requires strong analytical skills, knowledge of industry-specific tools like SAS or R, and the ability to manage multiple projects remotely.

How to become a freelance pharmaceutical data analyst?

To become a freelance pharmaceutical data analyst, develop strong skills in data analysis, statistics, and relevant software such as Excel, SQL, or specialized tools like SAS or R. Obtain a relevant degree in pharmacy, life sciences, or data science, and build experience through internships or projects; certifications in data analysis or pharmaceutical sciences can enhance credibility. Establish a professional online presence, create a portfolio, and network to find clients or platforms that connect freelancers with pharmaceutical projects.
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What cities are hiring for Freelance Pharma Data Analyst jobs?

Cities with the most Freelance Pharma Data Analyst job openings:

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

The most popular types of Pharma Data Analyst jobs are:

What states have the most Freelance Pharma Data Analyst jobs?

States with the most job openings for Freelance Pharma Data Analyst jobs include:

Infographic showing various Freelance Pharma Data Analyst job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, 5% Part Time, 23% Contract, and 2% Nights. Highlights an 79% In-person, 2% Hybrid, and 19% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Associate Director/ Director - Commercial Analytics (Pharma & Lifescience)

Tiger Analytics Inc.

Jersey City, NJ โ€ข On-site

Full-time

Posted 15 days ago


Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

  • Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain
  • Work directly with client stakeholders to translate business problems into high-level analytics solution designs
  • Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions
  • Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc
  • Experience in generating insights from reports and summarizing for brand teams
  • You will be responsible for account management, client relationships, and account growth
  • You will be responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business value
  • Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc.
  • Experience working with all levels of management and consulting with key business stakeholders.
  • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
  • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution
  • You will explore opportunities with current and new buying centers and will collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth. You will be responsible for P&L for your account portfolios managing revenue and margin goals

Requirements

  • 10-16 years of professional work experience with at least 9 years in data analytics
  • Deep understanding of pharma dataset, KPIs, and insight needs across different HQ and field personas across commercial, PSS, and market access
  • Ability to engage with executive/VP level stakeholders from client's team to translate business problems to high level analytics solution approach
  • Strong knowledge of Life Science and Pharma domain
  • Experience in specialty drug and rare diseases
  • Strong project management and team management skills and ability to work with global teams
  • Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Power BI or Tableau
  • Strong understanding of standard data sources-especially pharmacy, HUB, CRM, IQVIA, alignments, and related datasets-along with the nuances and quality controls required to ensure accuracy
  • Experience in developing hypotheses and validating them through data analysis to identify and investigate trends
  • Experience in building and maintaining reports, with a focus on optimizing effort through automation
  • Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage
  • Graduate in Business Analytics or MBA or equivalent work experience

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.