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Key Responsibilities:
- Architect and implement scalable, cloud-native analytics platforms (Databricks, Snowflake) enabling self-service access to insights and AI tools.
- Act as the hands-on bridge between business strategy and engineering teams, translating complex business rules into modular SQL/Python code and data models.
- Design, evolve, and automate measurement engines that compute campaign performance against massive retail transaction datasets.
Qualifications:
- Bachelor’s or Master’s degree in a quantitative field with 8+ years of progressive experience in data engineering or analytics architecture.
- Strong background in CPG/Retail analytics, point-of-sale transactional data, and campaign measurement methodologies (Test vs. Control).
- Advanced proficiency in SQL, Python, database design, data modeling, ETL/ELT pipeline design, and API integration.
Benefits:
- Inclusive care with access to a large network of medical and behavioral health professionals.
- 401(k) Savings Plan with company contributions including an automatic 3% and a matching contribution.
- Healthcare coverage and generous paid time off program.
Additional Information:
- The salary range for this position is $119,000 - $178,000 per year, with actual salaries varying based on skills and location.
- Avery Dennison is an equal opportunity employer and provides reasonable accommodations for applicants.
- Final candidates must successfully complete a background check and drug screening post-offer.
Avery Dennison
Avery Dennison is a global materials science and digital identification solutions company. With approximately 35,000 employees worldwide, it fosters a culture of curiosity and innovation.