Data Quality Analyst Resume

SUMMARY

Data reporting and quality IT professional with over 6 years of experience in supporting business intelligence initiatives, have vast knowledge of full life cycle project management in all aspects of end to end life cycle design, development, implementation, testing and documentation.

TECHNICAL SKILLS

Tableau, SQL, Oracle BI, Power BI, Jira, AHA, Excel, Visio, PowerPoint SQL Developer, Visual Studio
Oracle, DB2, Teradata, MS SQL Server, SQL, T - SQL
Data Gathering, Reporting, Project Management, Business Analytics and Strategy
Risk Management, Data Governance, Data Quality, Visualization, Automation
AGILE, SDLC

PROFESSIONAL EXPERIENCE

Confidential

Data Quality Analyst

Responsibilities:

Supported and managed Risk Reporting collaborated with Automobile Risk business unit leaders and other key stakeholders to provide analytics and insights to enhance efficiencies, identify challenges, and quantify performance.
Created summary and detailed financial and business reports to assist the client’s efforts for efficiency in completing audits and compliance.
Involved in the preparation of technical design documents, Source to target (S2T) document, reviewed checklist, and technical specifications.
Created proper documentation to describe program development, logic, coding, testing, changes, and corrections.
Managed on-demand (ad hoc) requests to support the evolving needs of the business.
Created and maintained executive dashboards to track performance and support decision making.
Contribute to the continued development of report automation and self-service distribution through Tableau and SSRS.
Analyze data and provide insights and interpretation of trends for decision makers.
Involved in back-end testing and worked with data quality issues.
Generated analytical reports by running SQL queries against current databases to conduct Data Analysis.

Confidential

Reporting Analyst

Responsibilities:

Manage on-demand (ad hoc) reporting requests from the business units in order to support the changing needs of business using SQL, Oracle Business Intelligence, Tableau
Establishing key performance indicators and reporting processes, including validation, visualization, automation of processes for building reports, development of quality control procedures and documentation to enhance the performance of the organization
Work with the management team to identify problems and improve processes
Identify opportunities to improve workflow data analysis and information coordination can be automated in Excel and other reporting systems
Completed business specifications and requirements gathering used for the development of executive reports.
Involved in finding ways to automate manual reports in excel to a reusable state
Analyzed client’s business requirements and processes through document analysis, interviews, workshops, and process workflow analysis.
Gathered and translated business requirements into detailed, production-level technical specifications, new features, and enhancements to existing technical business functionality.
Conducted testing including functional, regression, user acceptance, and performance to verify the client’s needs are met, providing analysis and data management practices, data quality analysis to drive data metrics.
Developing organizational capability for data quality expertise and processes by partnering with functional leadership and technical stakeholders to ensure alignment with key data needs

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