Assistant manager, Operations Data Analyst

• Full-time

ABOUT AVERY DENNISON

Avery Dennison (NYSE: AVY) is a global leader in pressure-sensitive and functional materials and labeling solutions for the retail apparel market. The company’s applications and technologies are an integral part of products used in every major industry. With operations in more than 50 countries and more than 30,000 employees worldwide, Avery Dennison serves customers in the consumer packaging, graphical display, logistics, apparel, industrial and healthcare industries.

Headquartered in Glendale, California, the company reported salesof $7 billion in 2019. Learn more

The Regional MIS Specialist will serve as the central hub for data governance and business intelligence across multiple countries in the South Asia region. This role is critical for transitioning our reporting capabilities from traditional manual data entry to a sophisticated, data-science-driven analytical framework. The specialist will provide actionable insights to regional leadership by collating operational and financial metrics, designing automated dashboards, and driving the monthly business review process.

1. Data Governance & Consolidation

Establish and maintain standardized data collection protocols across multiple country operations.

Consolidate complex datasets including sales growth, Headcount and operational efficiency metrics for each product technologies and sites and countries.

Ensure data integrity and accuracy

Serving as the subject matter expert for regional data extraction.

Benchmarking across the sites.

Capex and Opex management across the sites.

Develop and maintain dynamic dashboards using tools such as PowerBI, Looker studio, google tools to track KPIs in real-time.

Move away from static reporting to predictive modeling, utilizing a background in Data Science to identify trends before they impact operations.

Design custom visualizations for specific business needs, such as tracking "Service, HC" conversions and sales vs. AOP performance.

3. Review Management & Executive Support

Coordinate regional review meetings, ensuring all stakeholders are aligned on data submissions.

Generate high-impact executive presentation decks that synthesize complex metrics into strategic insights.

Facilitate "Deep Dive" sessions on specific operational gaps, such as quality engineering performance or SCM planning efficiency.

4. Process Optimization

Act as a bridge between the Shop floor, SCM, and Finance to automate the information flow.

Replace manual data preparation daily tasks with automated scripts and workflows.

Usage of AI to simplify the actions for the country level teams.

Educational Qualifications

Bachelor’s degree in Data Science, Statistics, Finance, or Engineering.

Advanced certifications in Business Intelligence (PowerBI, Tableau) or Data Analytics are highly preferred.

Experience

5-7 years of experience in an MIS or Data Analyst role within a manufacturing or regional supply chain environment.

Proven track record of managing multi-country data consolidation.

Experience in working with senior leadership teams and leadership meetings.

Experience working in a fast paced dynamic environment.

Technical Skills

Analytics:
Advanced SQL, Python and predictive modeling.

Visualization:
Expert level in PowerBI or Google Looker Studio.

Productivity:
Master of MS Excel (Power Query, VBA) and PowerPoint for executive-level storytelling.

Analytical Rigor:
Ability to find the "story" behind the numbers.

Stakeholder Management:
Comfortable interacting with country heads, department heads, and regional & global stakeholders.

Agility:
Capable of working under tight deadlines for month-end and quarterly reviews.

Quick learning capability and adaptability.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or other protected status. EEOE/M/F/Vet/Disabled. All your information will be kept confidential according to EEO guidelines.