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Portfolio Analytics Pharma Jobs (NOW HIRING)

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Portfolio Analytics Pharma information

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$50

$53

$56

How much do portfolio analytics pharma jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for portfolio analytics pharma in the United States is $53.65, according to ZipRecruiter salary data. Most workers in this role earn between $52.40 and $55.05 per hour, depending on experience, location, and employer.

What are the common challenges faced by professionals working in Portfolio Analytics within the pharmaceutical industry?

Professionals in Portfolio Analytics Pharma often face the challenge of managing large volumes of complex data across multiple therapeutic areas and product development stages. Balancing strategic decision-making with rapidly changing market and regulatory conditions can be demanding, as priorities may shift based on new scientific findings or business objectives. Additionally, effective collaboration with cross-functional teams—such as R&D, commercial, and finance—is essential to ensure that portfolio recommendations align with both scientific potential and business goals.

What are the key skills and qualifications needed to thrive as a Portfolio Analytics professional in the pharmaceutical industry, and why are they important?

To thrive in Portfolio Analytics within pharma, you need strong analytical skills, knowledge of pharmaceutical product lifecycles, and typically a degree in a relevant field such as life sciences, business, or data analytics. Familiarity with data visualization tools (e.g., Tableau, Power BI), portfolio management software, and statistical analysis tools (e.g., SAS, R) is essential, and certifications in project management or data analytics are beneficial. Exceptional communication, strategic thinking, and stakeholder management skills help professionals influence business decisions and convey insights effectively. These abilities are crucial for optimizing resource allocation, guiding investment decisions, and driving the success of a pharmaceutical portfolio in a competitive market.

What is Portfolio Analytics in Pharma?

Portfolio Analytics in Pharma refers to the systematic evaluation and management of a pharmaceutical company's collection of products, drug candidates, or research projects. It involves using data analysis and modeling tools to assess the performance, risks, and potential of each asset in the portfolio. This helps companies make informed decisions about resource allocation, prioritization of projects, and long-term strategic planning. By leveraging portfolio analytics, pharmaceutical firms can maximize value, improve R&D productivity, and respond effectively to market changes.

What is the difference between Portfolio Analytics Pharma vs Portfolio Management Pharma?

AspectPortfolio Analytics PharmaPortfolio Management Pharma
Primary FocusData analysis, performance metrics, and insights for pharmaceutical portfoliosDecision-making, strategy, and oversight of pharmaceutical product portfolios
Required SkillsData analysis, statistical tools, reportingStrategic planning, leadership, stakeholder communication
Work EnvironmentAnalytics teams, data-driven departmentsSenior management, cross-functional teams
CertificationsOften includes certifications in data analysis or pharma analyticsOften includes certifications in project management or pharma management

While Portfolio Analytics Pharma focuses on analyzing data to optimize pharmaceutical portfolios, Portfolio Management Pharma involves strategic decision-making and overseeing the entire portfolio. Both roles are essential in pharma companies but differ in scope and responsibilities.

Infographic showing various Portfolio Analytics Pharma job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $111,589 per year, or $53.6 per hour.
Director Commercial Analytics (Pharma & Lifescience)

Director Commercial Analytics (Pharma & Lifescience)

Tiger Analytics Inc.

Jersey City, NJ • On-site

Full-time

Posted 10 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.