Product Experience Analyst
Listed on 2026-07-10
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IT/Tech
Data Analyst, Business Systems & Technology Analysis, Data Science Manager, Data Engineering
Product Experience Analyst
ADI Global seeks a Product Experience Analyst primarily focused on Product Information Management (PIM) analytics, supporting the PIM team. The role will emphasize creating SQL/Snowflake queries and Python-based analyses to generate product reports, content upload automation, information transfer between systems, etc. ensuring data quality and insights.
Product Experience Analyst will be directly reporting to the Product Information & Pricing Analytics Supervisor but should be capable of working and understanding the needs and goals of different teams that will need analytical support.
You should have a solid background in data analytics technologies, skills, and a high understanding of product content and information management.
Job Duties:
- Develop SQL/Snowflake queries for PIM data extraction, validation, and reporting.
- Create Power BI, SSRS, Excel, and Python reports for product data quality, completeness, and performance.
- Use Python for automation or data processing tasks.
- Analyze PIM metrics and ensure actionable insights for the PIM team.
- Provide secondary support for EMEA
- Pricing related analytics.
You Must Have:
- +2 years of experience in SQL (primary focus).
- Strong skills in Python.
- Conversational English for cross-team collaboration.
- Experience in data analytics.
- Willingness to learn new tools
We Value:
- Knowledge in Snowflake / Streamlit
- Power BI, SSRS (Report Builder)
- Knowledge of Pandas, matplotlib python, pyodbc for Python
- OOP (Object-Oriented Programming) knowledge and C#
- Familiarity with Akeneo or willingness to learn.
- Strong analytical thinking and ability to manage multiple tasks.
- Ability to work under time constraints
- Ability to work on multiple projects
- Strong sense of accountability
What's In It For You:
- Great work environment and exceptional ADI Global benefits
- Ability to grow into different areas of the organization based on expertise and interest.
- Hybrid working environment
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