Junior Data Quality Analyst

In this role you safeguard the accuracy and completeness of Kpler’s oil market data, working across business units to monitor data health and resolve quality issues. You’ll build dashboards that reveal data health trends and help decision-makers. You will experiment with AI-driven tools to streamline validation workflows and drive automation. Your work supports reliable market insights and cross-functional collaboration in a fast-paced, data-centric environment.

• Monitor data quality KPIs across multiple systems and escalate critical issues to protect data reliability
• Design, deploy and maintain BI dashboards and reports for clear data health insights
• Perform exploratory data analysis using SQL and BI tools to identify patterns and resolve data quality challenges
• Drive automation and AI integration to streamline data validation workflows
• Collaborate with Data Operations, Data Engineers, BI teams, and Unit Engineers to align data quality with business needs
• Conduct root-cause investigations and provide swift, accurate data analysis for operational decisions

• 1–2 years in a data-focused role or internship (data analysis, BI, or data science)
• Bachelor’s degree in a quantitative field
• Solid SQL skills (query, filter, aggregate, join)
• Practical Python, GitHub, and spreadsheet proficiency (Excel or Google Sheets)
• Experience with BI visualization tools (Looker, Tableau, or Power BI)
• Strong attention to detail and problem-solving with end-to-end ownership of data accuracy

• meticulous attention to detail
• problem-solving
• ownership of data quality
• SQL
• Python
• GitHub