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Kroll

Quality Assurance Analyst II, Support Ops

Kroll

Quality Assurance Analyst ensuring data accuracy and integrity for legal services, developing Python scripts and conducting quality assurance on data processes.

Posted 6/24/2026full-timeBangalore • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudPythonSparkSQL

About the role

Key responsibilities & impact
  • Develop advanced Python scripts.
  • Conduct comprehensive quality assurance on data updates, inserts, and modifications by data analysts and engineers
  • Validate and QA complex SQL and Python scripts developed by the data team
  • Review and ensure the quality of data migrations, custom reports, and self-service reporting systems
  • Verify the accuracy and effectiveness of data visualization tools, techniques, metrics, and dashboards
  • Conduct thorough QA on ad-hoc data requests, test scenarios, and data analysis in a production environment
  • Validate web form builds and electronic data collection templates, ensuring accurate mapping between form fields and database fields
  • Review and verify daily tickets submitted by business units for various data-related tasks
  • Conduct audits to ensure compliance with data quality standards, metadata management, and data lineage practices
  • Collaborate with data analysts and engineers to resolve quality issues and improve processes
  • Contribute to the establishment and implementation of process improvements
  • Document QA processes and maintain up-to-date quality assurance documentation
  • Provide feedback on data quality management principles, including metadata, lineage, and business definitions
  • Assist in validating data cleansing and manipulation processes to ensure data is in the correct format

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Information Systems, or a related field
  • Proficiency/Strong knowledge Python and SQL
  • 5+ years of experience in quality assurance in a data-intensive and legal services environment
  • Strong understanding of data processes, analytics, and database concepts
  • Experience with data validation tools and techniques
  • Familiarity with data visualization tools, especially Power BI
  • Knowledge of big data technologies such as Spark and Databricks
  • Understanding of cloud computing platforms (Azure, AWS)
  • Experience with version control systems (e.g., Git)
  • Strong problem-solving and critical thinking abilities
  • Excellent communication skills, both written and verbal
  • Ability to work independently and as part of a team.

Benefits

Comp & perks
  • Kroll is committed to providing equal opportunities in employment. We will not discriminate between applications for reason of gender, gender identity, race, religion, color, nationality, ethnic origin, sexual orientation, marital status, veteran status, age or disability.

ATS Keywords

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Hard Skills & Tools
PythonSQLdata validationdata quality assurancedata analysisdata migrationdata cleansingdata visualizationbig data technologiesmetadata management
Soft Skills
problem-solvingcritical thinkingcommunicationcollaborationprocess improvementattention to detailindependenceteamwork