The Analyst - Launch and Commercialization Data will support the launch and commercialization team by consolidating both quantitative and qualitative data to assess product launch effectiveness. This role involves tracking KPIs, forecasting, and consolidating data to provide actionable insights, while ensuring high-quality data collection and reporting. The analyst will collaborate with global teams to deliver comparative analytics across multiple product launches, aiding in strategic decision-making and process improvements.
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people s lives. we're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?
Main responsibilities:
Quantitative Data Consolidation :
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Collect, organize, and consolidate quantitative data from internal and external sources to support the evaluation of launch performance.
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Create standard templates for reporting, automating data extraction where possible to reduce manual effort.
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Analyze internal benchmarks such as historical performance and compare them with external benchmarks from the industry to measure product launch effectiveness.
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Assist in forecasting by providing data-driven insights, ensuring accurate projection of market penetration, revenue potential, and launch KPIs.
Qualitative Data Management:
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Launching, managing and build reports on surveys (including internal customer satisfaction, baseline assessments, and others)
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Ensure that qualitative data, such as user feedback, market insights, and internal learnings, is collected systematically and timely from relevant sources.
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Validate the quality and relevance of the collected data, ensuring it is presented in a digestible and actionable format for relevant stakeholders, clearly outlining what s working and what needs adjustment.
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Conduct interviews with stakeholders to gather insights on success stories, lessons learned, and areas for improvement related to product launches.
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Consolidate findings, insights, and lessons learned.
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Performance Tracking: Track and interpret Key Performance Indicators (KPIs) and Key Initiative Indicators (KIIs) to measure launch effectiveness, identifying trends and gaps in performance.
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Collaboration and Communication: Work closely with commercial, marketing, and product teams to align data analysis efforts with business objectives. Proactively suggest improvement measures to the current process.
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People : (1) Work with cross-functional teams to understand the requirement for their respective teams; (2) Maintain effective relationship with the stakeholders within the allocated GTMC pillar and cross-pillars - with an end objective to ensure adherence and effectiveness of customer-engagement strategy/plans; (3) Constantly assist project team for communication/trainings on methods / processes / tools / platforms (4) Partner with Manager/Leads for individual development plans; (5) Collaborate with cross-functional teams in GTMC to train for continuous improvement/digital transformation/agile mindset/thoughtful risk taking; (6) Provide proactive recommendations on operational excellence and play an active role to follow the best practices in relation to processes, communications, training management, documentation and technical requirements
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Performance : (1) On-time tracking of effectiveness KPIs and report publishing; (2) Effectively communicate with cross-functional teams to constantly improve quality and productivity; (3) Recommend and implement tactical process improvements within the department and division-wide
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Process : (1) Monitor compliance and take actions as required to ensure 100% compliance; (2) Collate and publish metrics & reports as per defined frequency; (3) Stay up to date on current industry trends; (4) Maintain understanding of continuous improvement techniques, and agile methodology; (5) Contribute to overall quality enhancement; (6) Secure adherence to compliance procedures and internal/operational risk controls in accordance with any and all applicable regulatory standards; (7) Leverage advanced training delivery tools and techniques for enhancing the effectiveness of customer experience
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Stakeholder : (1) Work closely with GTMC/Omnichannel pillars (Global, Local, and Hub to deliver best-in-class capabilities
About you
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Experience :3-5 years of experience in data analysis, preferably in a pharmaceutical or healthcare setting.Proven experience in performance tracking and comparative analytics related to product launches.Analytical background with experience in forecasting, tracking KPIs, and interpreting data for actionable business insights.
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Soft & Technical skills : A highly analytical professional with strong problem-solving skills, able to derive valuable insights from both quantitative and qualitative data. Excellent communication abilities allow for clear presentation of data-driven insights to both technical and non-technical stakeholders. Meticulous attention to detail ensures data accuracy and integrity, while flexibility enables seamless adaptation to shifting priorities in a fast-paced business environment. Ability to work independently and within a team environment. Strong organizational and time management skills to effectively manage competing priorities.Advanced proficiency with Excel, Power BI, or similar data analysis and visualization tools.Experience with data visualization tools (e.g., Tableau, Power BI, Looker etc.) and knowledge of HTML and CSS is preferred.Ability to perform forecasting using historical data, market research, and industry benchmarks.Experience with internal and external benchmark analysis, comparing past launches and industry standards.Ability to visualize complex data in simple, actionable insights for non-technical stakeholders.Project Management experience and knowledge of key project management tools (i.e. Jira, Trello) is preferredExperience working with Social Media Platforms is desirable
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Education : Bachelor s degree in data science, business analytics, statistics, economics, or a related field. Additionally, relevant advanced/postgraduate degree in data science/business analytics/management/similar discipline is desirable
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Languages : Excellent knowledge of English language (spoken and written)
Why choose us
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Bring the miracles of science to life alongside a supportive, future-focused team.
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Discover endless opportunities to grow your talent and drive your career, whether it s through a promotion or lateral move, at home or internationally.
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Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
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Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks gender-neutral parental leave
