- Location
- BRA - Sao Paulo - Sao Paulo (Torre Z), Brazil
- Workplace
- Hybrid
- Type
- Full-time
- Education
- Master
- Closing date
- Today
- Source
- Workday
Description
Job Description
Role Summary
The Senior Specialist, Business Insights & Analytics Partner (BIA) is part of the Digital Human Health organization and acts as a strategic business partner for Brazil, helping translate priority business opportunities into the right questions, evidence, insights and actions. Working cross-functionally with commercial, marketing, therapeutic area, technology and broader international teams, the role connects brand and customer strategy with data, analytics, AI and digital capabilities to improve decision-making, accelerate insight generation and drive measurable business impact.
Acting as a data and business translator, the BIA Partner combines therapeutic area understanding, analytical judgment and stakeholder partnership to shape better business questions, synthesize internal and external evidence, and convert insights into practical recommendations for the business. The role also contributes to a stronger data-driven culture and to the international BIA community.
Role boundary: Accountable for business framing, insight generation, recommendations, adoption and value tracking. The role does not own technical platform execution, data engineering or formal data stewardship, but partners with the accountable expert teams on data availability, quality and governance.
Primary Responsibilities
1. Business Partnership and Commercial Insights
· Partner with commercial, marketing and sales stakeholders to frame priority business questions, expected outcomes and analytical requirements.
· Translate business opportunities into key business questions that can be addressed through data, AI, digital and technology-enabled solutions.
· Analyze performance to identify trends, opportunities and risks across brands, customers, campaigns and channels.
· Deliver fact-based recommendations supporting brand and customer strategy, forecasting, launch readiness and omnichannel effectiveness.
· Translate complex analysis into concise narratives and recommendations for senior and non-technical stakeholders.
2. Performance Measurement and Decision Support
· Contribute to dashboards, scorecards and standard reports covering brand performance, customer engagement and omnichannel outcomes.
· Help define consistent, accurate and decision-relevant KPIs across therapeutic areas and functions.
· Monitor performance, surface exceptions and opportunities, and connect insights to actions and decision forums.
· Improve the repeatability and efficiency of recurring reporting and insight generation with technology and analytics teams.
3. Advanced Analytics and Synthesis
· Use and interpret outputs such as segmentation, forecasting, scenario analysis, predictive models and resource or spend optimization.
· Integrate evidence from data science, market research and forecasting into a coherent business perspective.
· Identify relevant internal and external data sources and assess fitness for the business question.
· Apply analytical judgment and data storytelling to convert outputs into recommendations, trade-offs and next actions.
4. Cross-functional Collaboration and Enablement
· Act as the translation point between business stakeholders and expert teams, providing a clear brief, requirements and business context.
· Collaborate with Data Enablement, Data Strategy, Data Science, Market Research, Forecasting, Omnichannel and Business Technology Partners.
· Flag data gaps or quality issues to accountable owners and stewards, supporting compliant data use.
· Share methods and reusable assets through the international BIA community; support data literacy and mentor junior colleagues where applicable.
5. Adoption, Value and Continuous Improvement
· Drive integration of insights into business routines and decision forums, tracking usage and impact where appropriate.
· Explore approved uses of AI, machine learning, GenAI and agent-based solutions to accelerate high-quality insight generation in a fast and scalable manner.
· Continuously improve analytical methods, documentation and reusable insight assets.
Qualifications and Experience
· Bachelor's degree in Business, Economics, Engineering, Statistics, Data Science or a related discipline; a master's degree or other relevant advanced degree is preferred.
· Experience in business analytics, commercial analytics, market insights, data analysis, strategy consulting or a related field. Experience in pharmaceutical, healthcare or another complex, regulated industry is beneficial but not required.
· Life sciences, healthcare, pharmaceutical or therapeutic area background combined with strong analytical capability is highly valued.
· Experience supporting commercial, marketing or sales decisions in a complex environment.
· Strong analytical and visualization skills using Excel, Power BI; Python or R knowledge is beneficial.
· AI literacy and practical experience, or strong ability to build or configure AI-supported agents and workflows that accelerate insight generation, synthesis and business recommendations.
· Ability to structure ambiguous questions, interpret complex data and translate findings into practical recommendations.
· Strong problem-solving, structured thinking, communication and data storytelling skills, with the ability to translate ambiguity and complex analysis into clear recommendations that influence decisions and drive alignment across senior business and technical stakeholders.
· Ability to collaborate and influence across business and technical teams without formal authority; curiosity and learning agility.
· Fluency in the local language and professional English for international collaboration. Spanish fluency is a plus.
Measures of Success
· Business decisions are demonstrably informed by relevant evidence, insights and recommendations.
· Analyses, dashboards and insight products are timely, high quality and used in decision forums.
· Stakeholders recognize the clarity, relevance and actionability of recommendations.
· Recurring reporting and insight generation become more repeatable, efficient and reusable.
· Insights are adopted into business routines, with usage and impact tracked where appropriate.
· Effective collaboration is established across business stakeholders, BTPs and enterprise analytics teams.
· Data quality, documentation, compliance and governance requirements are respected.
Key Working Relationships
Commercial, Marketing and Sales leaders and teams; Market Engagement & Insights leadership; Business Technology Partners and DHH capability teams; Data Science, Data Enablement, Data Strategy and Data Stewardship; Market Research, Forecasting and Omnichannel teams; international and global BIA communities.
Temos orgulho de ser uma empresa que acredita no valor de trazer pessoas de diferentes perfis, talentosas e comprometidas. A maneira mais rápida de revolucionar a inovação é quando ideias diversas se reúnem em um ambiente inclusivo. Incentivamos nossos colaboradores a abordar os problemas coletivamente e desafiar de forma respeitosa o raciocínio uns dos outros. Somos um empregador focado em promover iguais oportunidades aos nossos colaboradores, comprometido a incentivar um local de trabalho inclusivo e diversificado.
Additional location(s) Compensation Information:
Required Skills:
Artificial Intelligence (AI), Business Analysis, Complex Analysis, Curious Mindset, Data Literacy, Data Science, Data Stewardship, Data Storytelling, Data Strategies, Decision Making, Demand Management, Innovation, Insight Generation, Learning Agility, Multidisciplinary Teamwork, Stakeholder Relationship Management, Strategic PlanningPreferred Skills:
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Employee Status:
RegularRelocation:
No relocationVISA Sponsorship:
NoTravel Requirements:
No Travel RequiredFlexible Work Arrangements:
HybridShift:
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noJob Posting End Date:
11/21/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.