Data Quality Analyst
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Job Description
Data Quality Analyst ensuring data integrity for an AI-powered luxury market intelligence platform. Conducting data validations and developing automation solutions to enhance data quality and monitoring processes.
Responsibilities:
- Conduct deep-dive investigations into new data sources to understand the "real-world" baseline and the business logic behind the data
- Perform initial rounds of raw data validation against the source of truth for every new data source integrated into the platform
- Ensure that the transition from "raw data" to "platform insight" maintains absolute integrity
- Translate manual findings into automated solutions
- Design and implement Python scripts, SQL automation rules, and proactive alerts
- Build and maintain data health dashboards (Looker Studio/BigQuery) to identify anomalies before they reach the client
- Develop continuous monitoring mechanisms to track data freshness, volume, and distribution
- Act as the primary point of contact for Data Quality incidents reported by internal teams or external users
- Perform root-cause analysis (RCA) to determine if issues stem from the raw source, ingestion pipelines, or processing logic
- Collaborate with Data Engineers to resolve bugs and verify fixes, ensuring the data is corrected and re-processed accurately
Requirements:
- Bachelor's degree in a relevant field
- 3+ years in Data Quality, Data Operations, or Data Engineering
- Proficiency in SQL (complex joins/audits) and Python (for automation)
- Experience with BigQuery or similar cloud data warehouses
- Comfortable with meticulous, detailed manual work and technical drive to automate repetitive tasks
- Ability to clearly explain a complex data issue to an engineer and its business impact to a stakeholder
- Keen eye for detail; able to notice anomalies that others miss
- Nice to have: Experience with data quality tools (Great Expectations, dbt tests, Soda, or similar)
- Familiarity with data visualization tools (Looker Studio or similar)
- Experience validating data from external APIs and web scrapers
- Experience in Luxury industry (watches, jewelry, or fashion)
- Familiarity with e-commerce and social media datasets
Benefits:
- Remote-friendly role with international team collaboration across Switzerland, the UK and China
- Direct exposure to senior leadership — no layers of middle management
- Opportunity to grow with a platform that's scaling across the luxury industry
- Wellbeing and learning support
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