At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions 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 https: //www.jnj.com

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About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https: //www.jnj.com/innovative-medicine

We are searching for an accomplished Business Intelligence (BI) Manager who will play a pivotal role in driving data initiatives at J& J IM. This role will focus on four key pillars: Forecasting, Data Engineering, Data Science, and Insights & Reporting. The ideal candidate will leverage their expertise to enhance decision-making processes and contribute to the strategic growth of the organization.

Key Responsibilities

Financial and Forecasting

• Financial Simulations (Crescendo): Conduct Integrated Business Planning (IBP), Financial Business Planning (FBP), and Long-Range Forecasting Plan (LRFP) simulations to support strategic planning and resource allocation

• Integration with Senior Management: Collaborate with senior management to translate data insights into actionable business knowledge, addressing specific requests and providing clarity in decision-making
• Customized Analytics Solutions: Create tailored functional dashboards, detailed weekly sales reports to meet the unique needs of various business units

Data Science / Data Engineering

• Building Data Pipelines: Design and implement data pipelines that efficiently transfer raw data from various sources into our data warehouse or lake, ensuring high-quality data flow
• Data Quality Management: Ensure that data is cleaned, transformed, and made readily available for analysis. This includes verifying integrity and accuracy to maintain a reliable resource for stakeholders
• Predictive Modeling: Develop and implement predictive models aimed at forecasting sales volumes, thus enabling proactive decision-making and strategy formulation based on insights derived from data

• Statistical Analysis: Utilize statistical methodologies and Machine Learning models/algorithms to extract insights and discover patterns from complex datasets, informing business strategies and enhancing performance

Insights & Reporting

• Actionable Insights Generation: Transform raw data into meaningful insights through comprehensive analytics, driving business growth and optimizing operations
• Development of Functional Dashboards: Design and manage interactive dashboards that visualize key performance indicators (KPIs) and metrics, facilitating data-driven discussions and strategic planning
• Ad Hoc Reporting: Respond to specific analytical requests with agility, utilizing innovative reporting mechanisms to provide insights as needed by key stakeholders

Team Management

• Manage and coach a team of 3 analysts: Act as the primary POC for professional matters, prioritize and allocate team's tasks, build / improve internal BI processes to enhance efficiencies
• Represent the team at EMEA BI forums and collaborate with the EMEA BI team on regional projects

Requirements

• Bachelor’s degree in industrial engineering and management, Economics or similar
• At least 5 years proven experience as a BI Data Analyst or similar role, preferably in the pharmaceutical or healthcare industry
• Minimum of 3 years of people management experience, a must
• Excellent analytical, problem-solving, and critical-thinking skills
• Strong analytical mindset with experience in machine learning and predictive analytics
• Excellent communication skills, with the ability to collaborate across teams and present complex data in an understandable manner
• Very Strong proficiency in BI tools Excel, Power BI
• SQL, Python are plus
• Fluent English, a must

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