The Data Quality team independently verifies the accuracy of various models, data solutions, data processes, and business logic related to the Market Intelligence Vertical
Job Summary
The Data Quality team independently verifies the accuracy of various models, data solutions, data processes, and business logic related to the Market Intelligence Vertical.
This techno-functional role provides exposure to a modern tech stack including Python, SQL, Docker, Power BI, and advanced data quality libraries, enabling deep domain expertise in market intelligence and data analytics.
As a senior member of the QBIT team, you will have significant autonomy to build validation frameworks, prototype models, and directly influence the quality and accuracy of core Market Intelligence products.
Matching Summary
The Data Quality team independently verifies the accuracy of various models, data solutions, data processes, and business logic related to the Market Intelligence Vertical.
Skills & Requirements
Must-have
Proficiency in Python and SQL
Data quality assurance and validation
Experience with Docker containerization
Data profiling and visualization using Power BI
API validation using Postman
Developing automated verification frameworks
Nice-to-have
Experience with low-code/no-code data analytics tools
Familiarity with LLMs and machine learning
Strong communication and collaboration skills
Proactive and self-starter mindset
Understanding of ESG and Corporate Governance domains
Key Requirements
6–8 years of experience in data-driven roles
Bachelor’s or Master’s degree in Engineering or Information Science
Strong hands-on experience in Python programming
MBA (Finance), CFA Level 1/2, or CIPM certification is a plus