- Building a data quality validation system able to detect issues in sales, transactions and PMIX data reported from restaurants' Point of Sales
- Work to resolve data quality issues by identifying root causes and work with franchisees/POS providers to fix the issues
- Establish dashboard for Data Quality validation for EMEA markets aimed at constantly monitor data quality
- Support local franchisees to report sales and PMIX data according to RBI required specifications
- Experience with SQL and Python
- Experience with Datadog
- Experience with Snowflake
- Experience with Airflow is a plus
- Past working experience in/with a Point of Sales provider is a strong plus
- Good understanding of ETL processes
- Fluent in English
- Problem solver: Enjoys working with numbers; ability to identify, analyze and interpret trends and patterns from complex datasets.
- Used to work with diverse teams and in a highly collaborative environment
- Details oriented, very proactive and driven
- Able to work in a dynamic environment with several different stakeholders (both internal and external)
- EU/EFTA citizenship
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Data Quality Analyst - Zug, Schweiz - Restaurant Brands International Inc
Beschreibung
About Restaurant Brands International:
Restaurant Brands International Inc. is one of the world's largest quick service restaurant companies with over $40 billion in annual system-wide sales and over 30,000 restaurants in more than 100 countries. RBI owns four of the world's most prominent and iconic quick service restaurant brands – TIM HORTONS, BURGER KING, POPEYES, and FIREHOUSE SUBS. These independently operated brands have been serving their respective guests, franchisees and communities for decades. Through its Restaurant Brands for Good framework, RBI is improving sustainable outcomes related to its food, the planet, and people and communities.
Role and Responsibilities:
Requirements and skills:
