Business Insights and Analytics Partner

Merck; São Paulo; On-site; BRL 180,000 - 300,000; Full time

Job summary

Merck Brazil is seeking a Senior Specialist, Business Insights & Analytics Partner (BIA) to act as a strategic business partner across Brazil, translating priorities into questions, evidence, insights and actions.

You will work cross-functionally with commercial, marketing, therapeutic area, technology and broader international teams, linking brand strategy with data, AI and digital capabilities to improve decision-making, accelerate insight generation and drive measurable business impact.

Qualifications

• 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 or strategy consulting.
• Life sciences, healthcare or therapeutic area background valued with strong analytical capability.
• Experience supporting commercial, marketing or sales decisions in a complex environment.
• AI literacy and practical experience with AI-enabled tools or ability to build AI workflows.

Responsibilities

• Frame priority business questions and analytical requirements with commercial, marketing and sales stakeholders.
• Translate opportunities into questions addressable by data, AI and digital solutions.
• Analyze performance to identify trends, opportunities and risks across brands, customers and channels.
• Deliver fact-based recommendations supporting brand strategy, forecasting and omnichannel effectiveness.
• Drive adoption of insights into business routines and collaborate with analytics and enablement teams.

Skills

Analytical skills

Power BI

Excel

Python

R

Education

Bachelor's degree in Business, Economics, Engineering, Statistics, Data Science or related discipline

Master's degree preferred

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,