Senior Analyst, Reporting & Analytics
Role Overview
The Digital & Data Analytics (D&DA) team within Global Supply Chain Services is transforming how the organisation leverages Artificial Intelligence (AI), data, and analytics to improve productivity, drive Continuous Process Improvements (CPIs), and enable faster, more informed business decisions.
The team is focused on delivering scalable, cost-effective digital solutions with an emphasis on speed, simplicity, and measurable business value.
Reporting to the Manager, Digital & Data Analytics, this role is responsible for leading a diverse portfolio of AI-driven digital initiatives.
The successful candidate will independently manage complex, cross-functional projects across the full lifecycle — from ideation and intake through implementation, adoption, and value realisation — ensuring alignment with strategic business objectives.
To succeed in this role, you will need advanced expertise across the following areas:
• Advanced AI & Emerging Technologies — Leveraging Generative AI, LLMs, and AI-assisted tools to build intelligent, efficient solutions.
• Reporting & Analytics — Designing data architectures for reporting, building ETL pipelines, extracting actionable insights from complex datasets, and developing business-friendly dashboards and reports that drive informed decision-making.
• Data Engineering & Pipeline Management — Building and maintaining robust, scalable ETL/ELT pipelines and data integrations across cloud-based platforms to ensure reliable, high-quality data flows.
• User-Centric Solutioning — Developing solutions that prioritise usability, adoption, and tangible business outcomes.
• Smart Communication — Translating technical complexity into clear, concise narratives for diverse stakeholders.
You will be managing multiple projects in parallel, making strong time management, prioritisation, and stakeholder engagement skills essential to delivering consistent results.
Key Skills for This Role
Full Job Posting
Required Qualifications
- Required Minimum Education: Bachelor's degree in Information Technology or Computer Science Engineering with experience in key digital software.
- Other: Handson experience with building advanced AI agents.
- Required Years of Related Experience: 4+ years
- Required Knowledge, Skills and Abilities:
- AI & Emerging Technologies: Proficient in using Generative AI, Large Language Models (LLMs), Copilot technologies, and other AI-assisted development tools. Demonstrated ability to design efficient frameworks (e.g., smart harnesses) that optimise token consumption for AI agents.
- Data & Development Tools: Expert knowledge of Power Platform (Power Automate, Power Apps, Power BI). Hands-on experience with Databricks, Dataverse, Azure Data Services, SQL Server, and Python. Some prior experience with Microsoft Fabric, Tableau, or Google Looker is a bonus.
- Data Architecture & Engineering: Solid experience in designing data architectures and data models, building ETL/ELT pipelines, developing APIs, and implementing data engineering solutions on cloud-based platforms.
- Adaptability & Continuous Learning: Proven ability to quickly learn and adopt new AI, digital, and automation tools, and effectively deploy them in live project environments.
- Communication & Stakeholder Management: Excellent verbal and written communication skills in English. Skilled at translating complex technical concepts into clear, actionable insights for business stakeholders, and converting business requirements into well-defined technical specifications.
- Project & Time Management: Demonstrated success in executing multiple projects simultaneously in a fast-paced, deadline-driven environment with minimal supervision.
- Problem-Solving & Analytical Thinking: Strong analytical and investigative mindset with a natural ability to navigate ambiguity, troubleshoot independently, and simplify complex problems into workable solutions. Ability to translate ambiguous business needs into scalable solutions, measurable outcomes, and actionable delivery plans.
- Responsible AI & Ethics: Sound understanding of ethical AI practices, data privacy considerations, and compliance with industry standards and organisational policies.
- Travel on the Job: Yes
- Percentage Traveled: 10%
- Type of Travel Required: n/a
- People Management Experience: n/a
- Required Years of People Management Experience: n/a
Preferred Qualifications
- Preferred Minimum Education: Bachelor of Engineering Other: n/a
- Preferred Area of Study: Computer Science, Information Technology
- Preferred Related Industry Experience (if applicable): Healthcare, Pharma, MedTech
- Preferred Knowledge, Skills and Abilities:
- End-to-end supply chain, enterprise contract management, global trade controls or global transportation and trade operations experience in a global or multi-divisional environment.
- Key Working Relationships
- Internal
- Business teams
- External
- Technical consultants
- Data & Development Tools: Expert knowledge of Power Platform (Power Automate, Power Apps, Power BI). Hands-on experience with Databricks, Dataverse, Azure Data Services, SQL Server, and Python. Some prior experience with Microsoft Fabric, Tableau, or Google Looker is a bonus.
- Advanced Analytics, Analytical Reasoning, Business Behavior, Business Intelligence (BI), Cross-Functional Collaboration, Data Analysis, Data Integration, Data Modeling, Data Privacy Standards, Data Reporting, Detail-Oriented, Management Systems Implementation, Problem Solving, Process Oriented, Project Management, Statistical Analysis Systems (SAS) Programming, Workflow Analysis
About Johnson & Johnson
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