Finance Portfolio Analytics Analyst

GSK • Upper Providence, PA

1d • Hybrid

About The Position

The Finance Portfolio Analytics Analyst supports R&D portfolio and investment decisions by building and maintaining financial and operational models, forecasts, and dashboards, and by contributing to ad hoc strategic analyses. The role combines scientific, clinical, financial, and operational information into clear, accurate analysis and decision materials across short-, medium-, and long-range planning horizons.

Reporting to the Head, Data Science, Analytics, and AI, the Analyst works under guidance and alongside the Finance Portfolio Analytics Manager and senior analytics colleagues. The position offers the opportunity to develop portfolio-analytics expertise and grow toward independent ownership of analyses. The work arrangement is hybrid, with a mix of on-site and remote work; fully remote or fully home-working arrangements are not available.

Requirements

• Bachelor’s degree in a quantitative field (engineering, computer science, mathematics, economics, operations research, or finance), or in life sciences with specific quantitative experience; equivalent professional experience is also accepted.
• At least 2 years of experience in financial and operational modelling, data analysis, analytics, or forecasting.
• At least 2 years of experience turning data and analysis into clear, actionable insights and recommendations.
• At least 2 years of coding experience in at least one analytical or programming language, such as Python, R, or SQL, with exposure to data science app development frameworks such as Shiny, Streamlit, or Dash.

Nice To Haves

• Experience in pharmaceuticals, biotech, life sciences, consulting, or financial services.
• Exposure to drug development or R&D portfolio concepts.
• Strong quantitative fundamentals, accuracy, and attention to detail.
• Ability to communicate analytical results clearly to non-technical stakeholders and work effectively in cross-functional teams.
• Strong data science fundamentals, with exposure to valuation methods such as NPV/rNPV, scenario and sensitivity analysis, and Monte Carlo simulation.
• Experience with web app development from a data engineering or UI perspective, such as Shiny, Streamlit, or Dash.
• Interest in or experience with Generative AI tools and frameworks.
• Familiarity with standard software development tools and practices, such as Git, CI/CD, and containerisation.
• Comfort with ambiguity and managing multiple priorities.

Responsibilities

• Build, populate, and maintain financial and valuation models, including NPV/rNPV, scenario, and sensitivity analyses, under guidance.
• Support ad hoc strategic and exploratory analyses by gathering, cleaning, and structuring data from scientific, clinical, financial, and operational sources.
• Help develop and run probabilistic and Monte Carlo simulations and other quantitative analyses.
• Maintain portfolio forecasts, metrics, milestones, and KPI tracking, and flag variances against plan.
• Build and maintain dashboards, reports, and decision materials for review discussions.
• Support improvements to data quality, reporting tools, and forecasting methods.
• Prepare clear, accurate materials for portfolio and product review discussions.
• Synthesize quantitative and qualitative findings into concise summaries and communicate results clearly to non-technical stakeholders.
• Partner across development, operations, finance, and technology teams, take direction from the Head and senior analytics colleagues, and follow through on commitments.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level