Data Quality Analyst

QuantumLight is looking for a Data Quality Analyst to work at the intersection of data engineering and data science. In this role, you will transform raw and unstructured data into clean, reliable, and well-structured datasets used for analytics, machine learning, and model training. This position is suitable for someone with strong analytical thinking, hands-on data preparation skills, and attention to data quality.

• Clean, validate, and standardize raw data from multiple sources.
• Build and maintain datasets for internal analytics and machine learning.
• Detect anomalies and improve overall data quality.
• Design data validation tests and monitoring processes.
• Create dashboards and analytical reports.
• Collaborate with data scientists and engineers on data preparation workflows.
• Work with real-world, imperfect datasets and transform them into structured data.
• Support data quality improvements for model training and analytics use cases.

• Solid knowledge of Python, especially Pandas.
• Strong SQL skills and ability to work directly with databases.
• Ability to write efficient database queries.
• Experience working with real-world, imperfect datasets.
• Strong analytical mindset and attention to detail.
• Good understanding of data quality principles.
• Experience working with LLMs.
• Experience with Apache Spark or other distributed data processing frameworks is a plus.
• Background in private markets, finance, or complex datasets is a plus.
• Familiarity with BI tools such as Metabase or similar platforms is a plus.

QuantumLight is a technology-driven investment firm focused on venture and growth equity opportunities. The firm was founded by Revolut founder and CEO Nik Storonsky and positions itself as an investment company built like a technology company, using data, AI, and systematic decision-making to identify and support high-growth businesses.