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Data Analyst Quality Assurance

Location:
Leawood, KS
Salary:
110000
Posted:
September 11, 2025

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Resume:

Mounika Pere

**************@*****.***

PROFESSIONAL SUMMARY

Data Analyst with 3+ years of experience specializing in data integration, validation, and reporting for enterprise-scale systems. Skilled in designing and optimizing complex SQL queries and stored procedures using PL/SQL on Oracle Exadata and 10g environments. Adept at data quality assurance, test scenario execution, and automated validation scripting to support critical business processes, including client onboarding and wholesale credit product workflows. Proficient in Microsoft Office suite, including Excel dashboards and PowerPoint presentations, to deliver clear insights and effective documentation. Experienced working within Agile teams to define requirements, estimate effort, and prioritize deliverables, ensuring seamless integration of solutions across multiple business applications. Recognized for analytical thinking, attention to detail, and the ability to communicate technical concepts to diverse audiences.

WORK EXPERIENCE

Nominal, Data Analyst Nov 2023 - Present

●Developed and maintained complex PL/SQL queries and stored procedures on Oracle 10g and Exadata environments to support high-volume data analysis for aerospace and defense test data applications.

●Built and improved data pipelines to process and validate hardware telemetry and test results, ensuring accurate and timely delivery of analytics for engineering teams.

●Used Microsoft Excel, PowerPoint, and Word to prepare detailed reports, present findings to technical and non-technical stakeholders, and document data analysis processes for team reference.

●Created and executed test scenarios to validate data processing logic and integration points, making sure new analytics solutions fit seamlessly into the existing application stack.

●Participated in Agile sprint planning sessions, helped estimate effort for data-related user stories, and provided input on prioritization of analytics-focused work.

●Analyzed data from multiple sources to identify patterns and troubleshoot issues, supporting engineering teams in rapid iteration and continuous monitoring of hardware systems.

●Developed and maintained automated data validation scripts in Python, supporting robust testing and reducing manual intervention in daily analytics workflows.

●Improved data reliability and integrity by implementing quality checks in PL/SQL and Python, resolving anomalies before they impacted downstream reporting.

●Worked closely with cross-functional teams to understand requirements and deliver analytics solutions that supported continuous innovation in hardware product development.

●Documented data models, query logic, and system interfaces to support team knowledge sharing and ensure analysis processes could be handed off or scaled as needed.

Chalk, Data Engineer Jun 2022 - May 2023

●Developed PL/SQL scripts and optimized stored procedures on Oracle Exadata to support wholesale credit data analysis and client onboarding requirements for enterprise banking applications.

●Created and executed robust test scenarios for new data integrations, ensuring seamless end-to-end flow between KYC systems, credit products, and core banking platforms.

●Analyzed complex data sets from multiple sources to identify gaps in client onboarding and KYC processes, providing actionable insights to streamline compliance workflows.

●Built advanced reports and dashboards in Microsoft Excel and PowerPoint to present credit risk findings to business stakeholders and technical teams, tailoring content for each audience.

●Defined and refined user stories during Agile ceremonies, providing clear requirements and technical estimates for credit analytics and onboarding automation projects.

●Worked with business and technical teams to map data dependencies across onboarding, KYC, and credit product systems, clarifying integration touchpoints and data ownership.

●Conducted proof-of-concept analysis using PL/SQL to validate new data interfaces and reduce risk before full-scale implementation in production banking environments.

●Managed competing priorities across multiple projects, organizing tasks and deliverables to ensure timely completion of onboarding and credit data initiatives.

●Guided team members on best practices for PL/SQL query development and Microsoft Office reporting, fostering a collaborative environment focused on quality and accuracy.

●Responded to questions from cross-functional teams, quickly researching requirements and data discrepancies to remove blockers and keep onboarding projects on track.

TECHNICAL SKILLS

Databases: Oracle Exadata, Oracle 10g, PL/SQL, Stored Procedures

Agile & Project Tools: Agile (Scrum), User Story Refinement, Effort Estimation Tools, Sprint Planning Tools

Reporting & Presentation: Microsoft PowerPoint, Microsoft Word, Excel Dashboards

Data Analysis & Query Tools: Microsoft Excel, Oracle SQL Developer, Complex SQL Queries, Python (for Data Validation)

Industry-Specific Platforms: KYC Systems, Wholesale Credit Product Systems

Data Integration & Processing: Data Pipelines, Automated Data Validation Scripts, Data Quality Checks, Test Scenario Execution

EDUCATION

Master's in Information Studies

Trine University, Indiana

CERTIFICATIONS

AWS Cloud certification - Global Technologies

Java and Testing Certifications - Global Technologies



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