Operational Analytics Lead

Johnson & Johnson; São José dos Campos; Presencial; BRL 230 000 - 360 000; Tempo integral

Resumo da oferta

Johnson & Johnson is recruiting for aData Analytics & Computational Sciences professional in São José dos Campos, Brazil. The role combines data engineering, BI, analytics, and AI to transform how leaders access information, gain insights, and make data-driven decisions.

The ideal candidate will design end-to-end analytics and AI solutions, integrate data from multiple domains, and communicate insights to executives. This is a hands-on, collaborative role within CBT Strategy & Operations.

Qualificações

• Bachelor's degree in a relevant field.
• 5+ years of experience in data engineering, analytics, BI, AI/ML, or related disciplines.
• Advanced experience developing dashboards and analytics using Tableau and/or Power BI.
• Strong SQL expertise across multiple data sources.
• Strong Python programming skills for analytics, automation, ML, or AI use cases.
• Experience with enterprise cloud data platforms, data warehouses, ETL/ELT, and large-scale datasets.
• Ability to translate complex data into actionable business insights and executive communications.
• Demonstrated ability to lead analytics initiatives and influence business decisions.

Responsabilidades

• Design, develop, implement, and support enterprise analytics, BI, and AI-enabled solutions using Tableau, Power BI, SQL, Python, and cloud technologies.
• Source, engineer, curate, govern, and serve data from multiple domains.
• Develop scalable data pipelines and analytical solutions for enterprise reporting and decision making.
• Define scalable analytics architectures ensuring reliability and security.
• Build dashboards, scorecards, and self-service analytics for performance visibility.
• Perform advanced data analysis to identify operational improvements and value.
• Deliver AI-enabled analytics leveraging Generative AI, Copilot, ML/NLP, and intelligent search.
• Partner with leaders to identify and prioritize high-impact AI use cases.

Conhecimentos

Analytical reasoning

Executive communication

Problem solving

Formação académica

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, Statistics, Finance, or related field

Ferramentas

Tableau

Power BI

SQL

Python

Cloud data platforms

Descrição da oferta de emprego

All Job Posting Locations:

São José dos Campos, São Paulo, Brazil, São Paulo, Brazil

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com. As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function

Data Analytics & Computational Sciences

Job Sub Function

Business Intelligence

Job Category

Professional

Job Description

This is an exciting opportunity to join the Corporate Business Technology (CBT) Strategy & Operations Performance Management team, responsible for measuring, improving, and accelerating overall CBT performance. This role combines data engineering, business intelligence, advanced analytics, and Artificial Intelligence (AI) to transform how leaders access information, generate insights, and make data-driven decisions. The successful candidate will design and implement end-to-end data, analytics, and AI solutions that enable organizational performance management, operational excellence, and strategic decision-making across Corporate Business Technology.

The ideal candidate is a hands-on analytics professional who possesses strong technical expertise, business acumen, curiosity, and a passion for innovation. They should have a proven ability to integrate data from multiple sources, uncover meaningful insights, communicate compelling stories, and leverage emerging AI technologies to drive measurable business impact.

Primary Responsibilities

• Design, develop, implement, and support enterprise analytics, business intelligence, and AI-enabled solutions using Tableau, Power BI, SQL, Python, and modern cloud technologies.
• Source, engineer, curate, govern, and serve data from multiple domains including project portfolio management, resource management, applications, finance, agile delivery, operational metrics, employee experience, surveys, and technology performance.
• Develop scalable and optimized data pipelines, data models, and analytical solutions that support enterprise reporting, performance management, and data-driven decision making.
• Define and evolve scalable data, analytics, and AI architectures that ensure reliability, maintainability, security, and long-term business value.
• Build intuitive dashboards, scorecards, reports, and self-service analytics solutions that clearly communicate organizational performance, trends, risks, and opportunities.
• Perform advanced data analysis and investigation to identify opportunities for operational improvement, efficiency gains, cost optimization, and business value realization.
• Design and deliver AI-enabled analytics solutions leveraging Generative AI, Copilot technologies, machine learning, natural language processing, intelligent search, and automated insight generation.
• Partner with business and technology leaders to identify, evaluate, and prioritize high-impact AI and analytics use cases.
• Develop proof-of-concepts and innovative solutions using emerging AI, data, and automation technologies to improve organizational productivity and decision-making.
• Ensure AI and analytics solutions comply with enterprise governance, security, data privacy, and responsible AI standards.
• Serve as a trusted analytics advisor to CBT leadership, business technology leaders, product organizations, and Strategy & Operations teams.
• Communicate complex analytical findings, insights, and recommendations to both technical and non-technical audiences.
• Promote strong data governance, data quality, metadata, lineage, and business definition practices.
• Collaborate across global teams to improve data literacy, confidence in analytics, and adoption of AI-enabled solutions.
• Mentor team members and champion best practices in data engineering, business intelligence, analytics, visualization, AI, and storytelling.
• Continuously evaluate and improve existing analytics, reporting, and AI solutions to maximize business value.
• This role requires collaboration and working with a Global Team.

Qualifications

Required

• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, Statistics, Finance, or a related field.
• 5+ years of experience in data engineering, analytics, business intelligence, AI/ML, or related disciplines.
• Advanced experience developing enterprise-scale dashboards and analytics solutions using Tableau and/or Power BI.
• Strong SQL expertise, including performance optimization, data modeling, and data integration across multiple data sources.
• Strong Python programming skills with experience supporting analytics, automation, machine learning, or AI use cases.
• Experience working with enterprise cloud data platforms, data warehouses, ETL/ELT processes, and large-scale datasets.
• Experience translating complex data into actionable business insights and executive-level communications.
• Demonstrated ability to lead analytics initiatives and influence business decisions through data-driven recommendations.

Preferred

• Experience with Microsoft Copilot, Copilot Studio, Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), intelligent agents, or related AI technologies.
• Experience with Microsoft Fabric, Azure AI Services, Databricks, Azure Data Factory, Power Automate, or other modern cloud analytics platforms.
• Experience developing AI-enabled knowledge management, search, recommendation, or self-service solutions.
• Experience supporting technology organizations, operational performance management, portfolio management, or enterprise transformation initiatives.
• Master's degree in a related field.

Leadership Characteristics

• High integrity and accountability.
• Curious, innovative, and growth-oriented mindset.
• Strong problem-solving and analytical skills.
• Excellent communication and relationship-building abilities.
• Passion for data, analytics, AI, and continuous learning.
• Results-driven with a strong bias for action.
• Collaborative team player who thrives in a fast-paced environment.

Why Join This Team?

This role offers the opportunity to help shape the future of analytics and AI within Corporate Business Technology by combining enterprise-scale data engineering, advanced visualization, GenAI, Copilot technologies, intelligent automation, and operational analytics to improve how leaders access information, make decisions, and drive business performance.

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):

São Paulo or São José dos Campos (Brazil) - Requisition Number: R-091570

India (Bangalore) - Requisition Number: R-092298

Required Skills

Accountability, Advanced Analytics, Analytical Reasoning, Business Intelligence (BI), Business Requirements Analysis, Communication, Data Analysis, Data Governance, Data Privacy Standards, Organizing, Problem Solving, Statistical Analysis Systems (SAS) Programming, Systems Development, Technical Credibility, Technical Writing, Workflow Analysis