Data Quality Analyst
Mechelenhybridmid
Posted 2mo ago · via Recruitee
About this role
Introduction For one of our fast growing practices, we are looking for a Data Quality Analyst. If the following questions spark your curiosity, this role might be exactly what you’re looking for: How do you define “good data quality” when working with unstructured data such as text and images? How do you approach the challenge of data quality for “AI” versus “AI for data quality”? What are the biggest blind spots organizations face when measuring data quality? How would you design a data quality framework for LLM-based applications? Case: A company wants to deploy an AI assistant or chatbot on top of poorly documented and inconsistent internal data—how would you approach this in your first 90 days? Your Role This is a primarily advisory position, focused on enabling rather than executing.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, sql, snowflake, databricks, spark…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Mechelen. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonsqlsnowflakedatabrickssparkdbtteams