Meraki:
As a Senior Data Quality Analyst, you play a critical role in ensuring the accuracy, reliability, and integrity of data used for informed decision-making within the organization. Your expertise in data analysis, quality assessment, and collaboration with database developers will be essential.
Here are the key responsibilities and qualifications for this senior role:
1. Perform statistical tests on large datasets to evaluate data quality and integrity.
2. Identify discrepancies, anomalies, and inconsistencies in data.
3. Collaborate with cross-functional teams to address data quality issues.
1. Evaluate system performance and design in relation to data quality.
2. Analyze the impact of system changes on data accuracy.
3. Propose improvements to data collection and storage processes.
1. Create and manage comprehensive test cases for data quality validation.
2. Develop both manual and automated test scenarios.
3. Execute test cases and document results.
1. Work closely with database developers to enhance data quality.
2. Provide insights on database design improvements.
3. Streamline data validation processes.
1. Drive process enhancements related to data quality.
2. Participate in root cause analysis for data discrepancies.
3. Contribute to the development of best practices.
1. Bachelor’s or Master’s degree in Computer Science, Technical, Engineering, Business, or related fields.
1. Proficiency in statistical analysis and data quality assessment.
2. Familiarity with testing methodologies and defect reporting tools (e.g., JIRA).
3. Understanding of database systems and architecture.
1. At least 5 years of experience in data quality analysis.
2. Exposure to banking and financial applications.
3. Knowledge of SQL and requirements-based testing.
Remember, as a Senior Data Quality Analyst, your attention to detail and commitment to data accuracy contribute significantly to successful testing projects.
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