Let s do this. Let s change the world. In this vital role, you will be a Senior Portfolio Analyst (Visual Storytelling Specialist) with deep expertise in biotechnology, pharmaceuticals, and life sciences to drive data-driven decision-making through strategic portfolio analysis, advanced data visualization, and executive storytelling. This role will be responsible for transforming complex R&D, clinical, and commercial portfolio data into visually compelling, insight-driven narratives that enable senior leadership to make informed investment and pipeline decisions. The ideal candidate is a data-driven strategist and visual communicator, with expertise in business intelligence (BI), portfolio management, analytics, and visualization tools such as Power BI, Tableau, or Looker. This individual will play a key role in shaping the drug development pipeline, investment prioritization, and market access strategies by presenting clear, actionable insights through interactive dashboards, executive presentations, and data storytelling techniques. work
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Develop and lead portfolio analytics strategies, transforming R&D, clinical, regulatory, and commercial data into compelling, insight-rich visualizations for decision-makers.
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Design and build interactive presentations & reports using Microsoft PowerPoint & Power BI, Tableau, or similar BI tools, ensuring data is intuitive, engaging, and business-relevant.
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Translate complex portfolio data (clinical trial progress, regulatory milestones, pipeline prioritization, market trends) into concise visual narratives that facilitate executive decision-making.
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Collaborate with cross-functional teams (R&D, Finance, Commercial, Regulatory, Market Access) to synthesize data from multiple sources, aligning insights with business strategy.
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Track and monitor key portfolio performance indicators, including pipeline investments, resource allocation, clinical success rates, and commercialization forecasts.
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Establish and maintain portfolio data governance, ensuring accuracy, consistency, and integrity of information used for strategic decision-making.
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Drive scenario planning and predictive modeling, leveraging AI/ML-powered BI tools to assess portfolio risks, opportunities, and trade-offs.
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Develop executive-ready presentations, infographics, and business cases, ensuring leadership has clear, data-backed insights to guide portfolio investment and resource allocation.
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Analyze competitive intelligence, industry trends, and regulatory updates, integrating insights into portfolio planning and lifecycle management strategies.
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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
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Bachelor s degree and 6 to 8 years of experience in Management Analytics consulting OR
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Diploma and 10 to 12 years of experience in Management Analytics consulting experience
Basic Qualifications:
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Experience in portfolio analysis, business intelligence (BI), or data visualization, with a strong background in the biotech/pharmaceutical industry.
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Expertise in Microsoft PowerPoint, Excel, Power BI, Tableau, Looker, Qlik Sense, or other BI visualization tools for executive reporting and data storytelling.
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Strong understanding of drug development lifecycle, including clinical trials (Phase I-IV), regulatory milestones, market access, and commercialization strategies.
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Proficiency in data modeling, SQL, Excel, and analytical scripting (DAX, Power Query M, or Python/R for analytics).
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Experience working with R&D, Commercial, and Financial teams in a biotech/pharma setting, translating scientific and business data into actionable insights.
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Strong ability to synthesize complex datasets into executive-level dashboards, visual reports, and storytelling presentations.
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Knowledge of portfolio management frameworks, risk analysis, and scenario modeling within pharmaceutical pipeline planning.
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Experience integrating industry-standard data sources such as ClinicalTrials.gov, Evaluate-Pharma, IQVIA, FDA databases, and commercial market research.
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Exceptional communication and stakeholder management skills, with experience in engaging C-suite executives, board members, and scientific leadership.
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Ability to manage multiple high-priority projects, ensuring on-time delivery in a fast-paced, highly regulated environment.
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Certification in BI & Data Analytics (Microsoft Certified: Power BI Data Analyst, Tableau Desktop Certified, Looker Certified, etc.).
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Experience with AI/ML-driven BI solutions, including predictive analytics, anomaly detection, and natural language processing (NLP) for BI.
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Familiarity with Lean Portfolio Management (LPM), Agile SAFe methodologies, and enterprise BI governance strategies.
Preferred Qualifications:
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Expertise in Power BI, Tableau, or Looker for developing interactive dashboards, executive reports, and data storytelling for decision-making.
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Strong understanding of clinical trials (Phase I-IV), regulatory achievements (FDA, EMA), R&D investments, and drug commercialization strategies.
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Proficiency in SQL, DAX, Power Query (M), and Excel, with experience in data modeling, financial forecasting, and scenario analysis.
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Experience in pipeline prioritization, resource allocation, probability of success (PoS) modeling, and competitive intelligence analysis.
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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.
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Strong verbal and written communication skills
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Ability to work effectively with global, virtual teams
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High degree of initiative and self-motivation.
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Ability to manage multiple priorities successfully.
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Team-oriented, with a focus on achieving team goals.
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Ability to learn quickly, be organized and diligent.
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Strong presentation and public speaking skills.
EQUAL OPPORTUNITY STATEMENT
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