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Pharma Analytics Jobs (NOW HIRING)

... pharma analytics experience preferred * Strong understanding of: * HCP media ecosystems * DTC / patient engagement analytics * campaign reporting * media performance measurement * Experience with:

Integrate DeepIntent's Solutions into Pharma Tech Stacks - Partner with clients to connect DeepIntent's identity, audience, analytics, and activation solutions with their internal data ecosystems ...

Experience with syndicated pharma data sources and market access analytics * Familiarity with advanced analytics (statistical modeling, machine learning, predictive analytics) * In-depth experience ...

Must be open to adapting to new roles within the organization Experience/Education * 5+ years of experience in pharma, analytics or other relevant work areas * Bachelor's degree or Post-graduate ...

Integrate DeepIntent's Solutions into Pharma Tech Stacks - Partner with clients to connect DeepIntent's identity, audience, analytics, and activation solutions with their internal data ecosystems ...

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Pharma Analytics information

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$64.5K

$125.3K

$179K

How much do pharma analytics jobs pay per year?

As of Aug 20, 2026, the average yearly pay for pharma analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

What is Pharma Analytics?

Pharma Analytics refers to the use of data analysis, statistical techniques, and advanced technologies to extract insights from pharmaceutical data. This field helps pharmaceutical companies optimize research and development, improve clinical trials, monitor drug safety, and enhance marketing strategies. By leveraging big data and analytics, pharma companies can make more informed decisions, improve patient outcomes, and streamline operations.

How does a Pharma Analytics professional typically collaborate with cross-functional teams in the pharmaceutical industry?

Pharma Analytics professionals frequently work alongside research scientists, regulatory affairs, clinical development, and commercial teams to interpret healthcare data and support data-driven decision-making. They often facilitate meetings to clarify analytic needs, translate complex data findings into actionable insights, and ensure that analytics align with business and scientific objectives. Effective communication and the ability to present technical information in an accessible way are crucial, as these professionals bridge the gap between technical data analysis and strategic business planning.

What are the key skills and qualifications needed to thrive in Pharma Analytics, and why are they important?

To thrive in Pharma Analytics, you need strong analytical skills, knowledge of pharmaceutical processes, and a background in life sciences, statistics, or data science. Familiarity with data analysis tools like SAS, R, Python, and experience with clinical trial databases or regulatory compliance systems is typically required. Excellent problem-solving, attention to detail, and effective communication help professionals translate complex data into actionable insights. These skills are crucial for supporting evidence-based decisions, optimizing drug development, and ensuring regulatory compliance in the pharmaceutical industry.

What is the difference between Pharma Analytics vs Data Analyst in the pharmaceutical industry?

AspectPharma AnalyticsData Analyst
Required CredentialsBachelor's or master's in life sciences, statistics, or related fields; knowledge of pharma regulationsBachelor's in statistics, mathematics, or related fields; proficiency in data tools
Work EnvironmentPharmaceutical companies, research labs, healthcare settingsVarious industries including healthcare, finance, tech; corporate offices
Employer & Industry UsagePrimarily in pharma and biotech sectorsAcross multiple industries, including healthcare and pharma

Pharma Analytics focuses on analyzing data specific to the pharmaceutical industry, including drug development and regulatory compliance. Data Analysts have a broader scope, working across various sectors but often applying similar skills in data interpretation and reporting. While both roles require strong analytical skills, Pharma Analytics emphasizes industry-specific knowledge and regulatory understanding.

More about Pharma Analytics jobs

What cities are hiring for Pharma Analytics jobs?

Cities with the most Pharma Analytics job openings:

What states have the most Pharma Analytics jobs?

States with the most job openings for Pharma Analytics jobs include:

Infographic showing various Pharma Analytics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.

Associate Director / Director Commercial Analytics (Pharma & Lifescience)

Tiger Analytics, LLC

Boston, MA • On-site

$130 - $160/hr

Other

Re-posted 15 days ago


Job description

Overview

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
  • 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
  • Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
  • 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
Qualifications
  • 10-16 years of professional work experience with at least 9 years in data analytics
  • Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
  • Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage
  • Solid understanding of statistical and machine learning algorithms
  • Strong knowledge of Lifescience and Pharma domain
  • 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 Qlik or Tableau
  • Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
  • Graduate in Business Analytics or MBA or equivalent work experience

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

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