Data Analyst Quality

Anuhya Mundru

*********@*****.*** Naperville, IL +1-630-***-****

PROFESSIONAL SUMMARY

Data Analyst with 3 years of experience specializing in PL/SQL development, Oracle Exadata and 10g databases, and complex data validation processes. Skilled in designing and optimizing stored procedures, automated data pipelines, and data quality checks to support high-integrity reporting and business analytics. Experienced in building custom dashboards and executive presentations using Microsoft Excel and PowerPoint, supporting informed decision-making for diverse client environments. Background includes working with client onboarding platforms and KYC compliance tools, ensuring accurate data capture and regulatory adherence. Well-versed in Agile methodologies, test scenario design, and effort estimation, contributing to efficient project delivery across multiple assignments. Recognized for analytical problem-solving, attention to detail, and clear communication with both technical and business stakeholders.

WORK EXPERIENCE

Faire, Data Analyst Dec 2023 - Present

●Developed complex PL/SQL queries and stored procedures to support analytics needs for wholesale marketplace data, making it easier for teams to access accurate and timely insights.

●Built data validation and transformation processes using Oracle 10g and Exadata, improving data quality for downstream analysis and business reporting.

●Created automated data pipelines to ingest, clean, and store large volumes of transactional and client onboarding data, ensuring secure handling and compliance throughout the process.

●Designed test scenarios and validation scripts in SQL to ensure new data solutions integrated smoothly into existing systems without disrupting marketplace operations.

●Used Microsoft Office tools, especially Excel and PowerPoint, to analyze business trends and prepare clear reports for both technical and non-technical stakeholders.

●Participated in Agile team meetings to estimate work, prioritize tasks, and deliver solutions that supported product, data science, and finance teams across multiple projects.

●Improved end-to-end visibility of data workflows by connecting data from different sources, allowing for more holistic marketplace analytics and decision-making.

●Supported efforts to monitor and resolve data quality issues, using alerting systems and root cause analysis to minimize the impact on business processes.

●Guided junior team members in troubleshooting PL/SQL code and best practices for data analysis, helping to raise the overall technical standards within the team.

●Delivered documentation and user guides for new data solutions, making it easier for teams to adopt analytics tools and maintain compliance with governance standards.

Ndustrial, Data Engineer Jul 2022 - Jul 2023

●Developed PL/SQL routines and optimized stored procedures on Oracle Exadata to support data analytics for industrial IoT integration, ensuring robust and efficient processing of sensor and operational data.

●Designed end-to-end data validation frameworks using Oracle 10g, enabling seamless onboarding of new industrial clients and supporting KYC requirements for energy and manufacturing partners.

●Built custom dashboards and reports in Microsoft Excel and PowerPoint to visualize key metrics for wholesale energy credit analysis, tailoring presentations for both technical and executive audiences.

●Created test scenarios and quality checks for new data interfaces, supporting integration of asset monitoring systems into broader enterprise applications with well-documented and reliable connections.

●Worked directly with business users to refine user stories and define technical requirements, using Agile methodologies to prioritize analytics deliverables and resource allocation for multiple concurrent projects.

●Implemented query optimization techniques in PL/SQL to accelerate performance on large industrial datasets, supporting rapid turnaround for data-driven process improvement initiatives.

●Mapped data flows across diverse industrial applications, connecting operational, financial, and client onboarding records for a comprehensive end-to-end view of project performance.

●Estimated effort and resource requirements for analytics projects, collaborating with scrum teams to balance technical complexity and delivery timelines in a fast-paced industrial tech environment.

●Provided guidance to cross-functional teams on interpreting analytics results, explaining technical findings in both detailed technical language and high-level business summaries as needed.

●Identified, documented, and escalated data inconsistencies or quality issues, demonstrating analytical thinking and attention to detail to maintain accuracy in regulatory and compliance reporting for enterprise clients.

TECHNICAL SKILLS

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

Business Applications: Microsoft Office Suite, Client Onboarding Systems, KYC Compliance Tools

Data Processing & ETL: PL/SQL Stored Procedures, Data Validation Scripts (SQL), Automated Data Pipelines, Query Optimization (PL/SQL)

Reporting & Visualization: Microsoft Excel, Microsoft PowerPoint, Custom Dashboards (Excel)

Project & Process Management: Agile (Scrum), Effort Estimation Tools, Test Scenario Design

Monitoring & Quality Assurance: Alerting Systems, Root Cause Analysis Tools, Data Quality Checks

EDUCATION

Masters, Business Analytics in Information Systems

Concordia University Wisconsin

Bachelor of Pharmacy

Acharya Nagarjuna University

CERTIFICATIONS

Data Analytics Essentials - Cisco Networking Academy

Microsoft Azure Fundamentals - LinkedIn Learning

Contact this candidate