Portfolio Analyst

• Develop and lead portfolio analytics strategies, transforming R&D, clinical, regulatory, and commercial data into compelling, insight-rich visualizations for decision-makers.
• Design and build interactive presentations & reports using Microsoft PowerPoint & Power BI, Tableau, or similar BI tools, ensuring data is intuitive, engaging, and business-relevant.
• Translate complex portfolio data (clinical trial progress, regulatory milestones, pipeline prioritization, market trends) into concise visual narratives that facilitate executive decision-making.
• Collaborate with cross-functional teams (R&D, Finance, Commercial, Regulatory, Market Access) to synthesize data from multiple sources, aligning insights with business strategy.
• Track and monitor key portfolio performance indicators, including pipeline investments, resource allocation, clinical success rates, and commercialization forecasts.
• Establish and maintain portfolio data governance, ensuring accuracy, consistency, and integrity of information used for strategic decision-making.
• Drive scenario planning and predictive modeling, leveraging AI/ML-powered BI tools to assess portfolio risks, opportunities, and trade-offs.
• Develop executive-ready presentations, infographics, and business cases, ensuring leadership has clear, data-backed insights to guide portfolio investment and resource allocation.
• Analyze competitive intelligence, industry trends, and regulatory updates, integrating insights into portfolio planning and lifecycle management strategies.
• Continuously refine visualization frameworks, adopting the latest data storytelling techniques, design principles, and BI automation to improve stakeholder engagement.

What we expect of you:

• Master's degree and 4 to 6 years of experience in Management Analytics consulting OR
• Bachelor's degree and 6 to 8 years of experience in Management Analytics consulting OR
• Diploma and 10 to 12 years of experience in Management Analytics consulting experience

Basic Qualifications:

• Experience in portfolio analysis, business intelligence (BI), or data visualization, with a strong background in the biotech/pharmaceutical industry.
• Expertise in Microsoft PowerPoint, Excel, Power BI, Tableau, Looker, Qlik Sense, or other BI visualization tools for executive reporting and data storytelling.
• Strong understanding of drug development lifecycle, including clinical trials (Phase I-IV), regulatory milestones, market access, and commercialization strategies.
• Proficiency in data modeling, SQL, Excel, and analytical scripting (DAX, Power Query M, or Python/R for analytics).
• Experience working with R&D, Commercial, and Financial teams in a biotech/pharma setting, translating scientific and business data into actionable insights.
• Strong ability to synthesize complex datasets into executive-level dashboards, visual reports, and storytelling presentations.
• Knowledge of portfolio management frameworks, risk analysis, and scenario modeling within pharmaceutical pipeline planning.
• Experience integrating industry-standard data sources such as ClinicalTrials.gov, Evaluate-Pharma, IQVIA, FDA databases, and commercial market research.
• Exceptional communication and stakeholder management skills, with experience in engaging C-suite executives, board members, and scientific leadership.
• Ability to manage multiple high-priority projects, ensuring on-time delivery in a fast-paced, highly regulated environment.
• Certification in BI & Data Analytics (Microsoft Certified Power BI Data Analyst, Tableau Desktop Certified, Looker Certified, etc.).
• Experience with AI/ML-driven BI solutions, including predictive analytics, anomaly detection, and natural language processing (NLP) for BI.
• Familiarity with Lean Portfolio Management (LPM), Agile SAFe methodologies, and enterprise BI governance strategies.

Preferred Qualifications:

• Expertise in Power BI, Tableau, or Looker for developing interactive dashboards, executive reports, and data storytelling for decision-making.
• Strong understanding of clinical trials (Phase I-IV), regulatory achievements (FDA, EMA), R&D investments, and drug commercialization strategies.
• Proficiency in SQL, DAX, Power Query (M), and Excel, with experience in data modeling, financial forecasting, and scenario analysis.
• Experience in pipeline prioritization, resource allocation, probability of success (PoS) modeling, and competitive intelligence analysis.
• Ability to translate complex portfolio data into executive-ready insights, using data visualization, storytelling techniques, and critical communication.

Soft Skills:

• Excellent analytical and fixing skills.
• Strong verbal and written communication skills.
• Ability to work effectively with global, virtual teams.
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals.
• Ability to learn quickly, be organized and diligent.
• Strong presentation and public speaking skills.