Avery Dennison Corporation (NYSE: AVY) is a global materials science company specializing in the design and manufacture of a wide variety of labeling and functional materials. The company’s products and solutions, which are used in nearly every major industry, include pressure-sensitive materials for labels and graphic applications; tapes and other bonding solutions for industrial, medical, and retail applications; tags, labels and embellishments for apparel; and radio frequency identification (RFID) solutions serving retail apparel and other markets. The company employs approximately 36,000 employees in more than 50 countries. Reported sales in 2022 were $9.0 billion. Learn more at www.averydennison.com.

The Solutions Group is an industry-leading provider of RFID solutions, branding and embellishment solutions, data management and identification solutions, and pricing and productivity solutions. Its business provides physical and digital labeling to the global apparel, food and general retail industries. The products and technology optimize customers’ on-product branding and engagement with consumers, and enable item visibility and traceability throughout a product’s lifecycle.

Responsibilities:

Establish and maintain a strong working relationship with our key Commercial stakeholders and create understanding of needs, complexities, impact and opportunities to support decision making

Provide leadership and coordination for the Commercial Business Intelligence area within a large-scale business transformation project across the Asia Pacific Region; up to 20% project-related travel (estimated through 2026)

Capture data-related requirements such as entity, source(s), data availability, data quality, pain points, volume, speed of ingestion, latency, security and estimate the business value of meeting these requirements

Identify and present opportunities for Business Intelligence solutions and modelling improvements

Facilitate change management activities such as solution adoption, empowering users, and learning, to enable the organization to realize the full potential of its data in combination with technology

Promote expertise in the functional areas of the business for users to develop their own reports and analytics, driving adoption of BI capabilities throughout the organization

Ability to operate with limited supervision, exercising independent judgement, initiative and tact

Perform role as project manager for selected projects (small to medium-sized)

Guide less-experienced Business Intelligence Analysts and Data Professionals in other disciplines, demonstrating the ability to lead, influence, and collaborate across diverse global cultures

Bachelor's degree in computer/data science, engineering or business, Masters a plus

Preferred: Associate Certified Data Management Professional (CDMP)

Experience & Skills:

Proficient written, oral communication, and presentation skills in English

5+ years of relevant experience in a business Intelligence / data analyst / information architecture or similar role in minimum 2 domain areas (e.g. Commercial, Finance, Supply Chain & Operations, Procurement etc.), manufacturing experience preferred

Hands-on experience & knowledge with Oracle reporting and analytical tools, preferably the latest experience cloud platforms e.g. Oracle Analytics Cloud (OAC) 

Experience creating functional requirements including business rules, data sources, profiling between source and target systems

Experience with Data Model Patterns and pre-built industry data models

Experience building Prototypes / Mash-ups (Develop ad hoc reports, and create & run SQL queries)

Experience with data quality root cause analysis

Experience in Data Modeling, Lineage, Profiling, and Quality tools

Experience in a global or multi-cultural work environment

Knowledge of Enterprise Business Architecture (Business models, processes, capabilities, services, events, strategies, and vocabulary)

Knowledge of structured data, such as entities, classes, hierarchies, relationships, and metadata

Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries

Knowledge of Metadata Repositories, Data Integration Tools

Knowledge of applying CRUD matrices as part of data security requirements.

Knowledge of Data Lifecycle Management

Knowledge of Data governance tools (e.g. Business Glossary), and quality scorecards

Knowledge of Data Privacy and ethics in relation to various data sets and how this connects with local legislation and company policies

Familiarity with Oracle ERP & SCM modules

Interest in Data Science