Data Quality Analyst Resume Samples (2023)

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Description :

1. Responsible for data quality and process effectiveness in support of the Acosta centralized data team which includes, master data management (MDM).
2. Working with business users and the development team to identify, document and correct data quality issues.
3. Develop, document and maintain data quality goals, standards, processes and all data integration of information between internal and external applications.
4. Responsible for creating migration/integration plan to align existing data across platforms to conform to AM DM standards.
5. Managing to troubleshoot issues with data, processes, reports, and software.
6. Identifying areas for data quality improvement, help to resolve data quality problems and recommend measures to prevent reoccurrences. Participate in the data governance team.
7. Managing all brand lines for Nestle USA and Nestle SA, By working closely with Acosta client service director, Nestle BA, systems manager and retail director-broker management.
8. Mentoring under project manager: learning to supervise, coordinate and organize tasks, time, resources, and people.
9. Understanding of requirements for plan project lifecycle deployment.
10. Understanding the importance of strong organizational, presentation, and customer service skills.
11. Liaisoning between it and business groups by building credibility, establishing rapport, and maintain communication with stakeholders at multiple levels, including those external to the organization.
12. Conducting JAD sessions for requirements gathering by using interviews, requirements workshops or document analysis.

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Description :

1. System administrator for data quality of finance and risk systems tools at Santander Bank.
2. Subject matter expert support for Nilo, moody risk analyst, Norkom, tallyman, credit risk rating (CRR) and other operational risk tools.
3. SE tools like a toad, SQL management studio, ACL, SQL server to extract data from different DBS, format/convert in the text, CSV, Excel, XML to analyze and present information efficiently using various reporting tools.
4. Performing data cleansing/scrubbing for customer profiles in MRA (Moodys) and admission risk tool (Nilo).
5. Providing validation/testing for new enhancement within the tool in pre-pro-environment.
6. Build excel formulas Vlookup, Hlookup, Pivot Tables, graphs, other data sorting filtering techniques.
7. Reconcile data quality issues between risk systems and risk database for smooth and accurate data flow.
8. Working with Santanderidentity access management group to reconcile identity access management issues, provide monthly reports to group owners throughout the bank.
9. Leading and manage projects that improve the functionality of the banks various risk systems tools.
10. Running control model report daily to see any data quality issues that flows through batch files or data upload and evaluate the output of data control points for completeness and accuracy.
11. Administering and authorize user access, parameterization of operational, finance and risk system tools.
12. Meeting service level agreements (SLAs) set by Santander and stakeholders.

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Description :

1. Building and maintaining SQL scripts, indexes, and complex queries for data analysis and extraction.
2. Using database objects like tables, views, procedures, packages using Oracle tools like PL/SQL developer and SQL plus.
3. Identifying data issues and provide recommendations for resolution to ensure optimal database performance.
4. Performing PL/SQL coding for exception handling and duplicate data maintenance.
5. Working with our offshore teams for the successful implementation and development of new projects.
6. Analyzing data and produce reports to assist in analysis and decision making to prioritize workload and ensure development and business requirements are met.
7. Ensuring consistency between requirements, analysis, design and the developed application, online website, and file processing.
8. Applying business and data manipulation principles and methods to technical problems.
9. Perform recurring analysis of merchant transaction files to ensure accuracy and to identify opportunities for improvement.
10. Work with business stakeholders, application developers, and production teams and across functional units to identify business needs and discuss solution options.
11. Ensure best practices are applied to the and integrity of data is maintained through security, documentation, and change management.

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Description :

1. Delivering defined data quality management strategies, standards, policies, procedures, initiatives and governance models.
2. Engaging stakeholders to plan, execute, sustain and govern, business initiatives for specific data gaps.
3. Providing analysis and data management practices, data quality analysis, drive data metrics.
4. Developing organizational capability for data quality expertise and processes by partnering with functional leadership an SBU technical stakeholders to ensure alignment with key data needs.
5. Maintaining and execute sqa group continuous improvement plan, guidelines and procedures.
6. Maintaining SQA group performance metrics including data capturing and reporting across projects for CSR reporting.
7. Assisting with detailed time financial tracking and vendor invoice and internal cost center reconciliation.
8. Collaborating with the test services integration lead, PTLS, and TCOE leaders to deliver viable quality methods, standards, and procedures.
9. Ensuring that the objective of quality methods, standards and procedures are in alignment with cross-department objectives.
10. Maintaining business incident and cost avoidance, test artifact re-use metrics that will ensure the SQA group measures the savings of removing defects before moving into production.
11. Providing expertise related to the product; via training, clarification of issues, root cause analysis, and business process improvement recommendations for the users.

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Description :

1. Professional in RX data management. Duties included, but not limited to, processing and validating prescription and mail order data.
2. Managed and maintained data integrity for eleven data suppliers or fifteen percent of the total database of suppliers, which included 3,700 pharmacies.
3. Ensured client data was received on a timely basis and validated within a constricted time constraint.
4. Resolved any anomalies in prescription data before closing out the database for the week.
5. Subject matter expert of the retail pharmacy for 38,200 pharmacies, the retail universe for 57,300 stores, long-term care universe with 2,300 pharmacies and Puerto Rico with 980 pharmacies.
6. Maintained direct contact with the data suppliers to resolve data integrity issues to avoid corrections to the data.
7. Trained associates in the retail pharmacy sample, retail universe, and long-term care processes.
8. Trained associates on prescription data management processes for transition of duties.
9. Completed the reprocessing of the retail universe in one day to meet a deadline for the statistical services department. This avoided the data going to the client with incorrect dollar volumes saving the company time and money.
10. Involved in the testing and developing of new tools for the new system, universal database.
11. Migrated over 3,000 stores to another supplier so there would be no gaps in the data.
12. Completed supplier layout changes in a timely manner to meet internal needs and supplier demand.

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Description :

1. Validating the issues found through QA of the new file and working with architects to create a resolution.
2. Providing the support to development teams as they work towards data solutions for existing services.
3. Analyzing data in test and production environments to validate the fixed issues.
4. Reviewing the historical integrity of data the in production database for client and analyzing the flow of data between different systems.
5. Assisting in client data initiatives for creating new environments for data.
6. Research, coordinating and executing the transfer of new data feeds or data corrections to ensure that continuity and level of service are maintained.
7. Communicating the value of services through a high level of understanding of services and the available data and configuration options.
8. Documenting the issues and solutions identified in the business and data warehouse.
9. Working with different types of sources like XML files, DB tables, flat files, and destinations like DB tables.
10. Working with QA teams to resolve the issues in production and development.
11. Research and identify data quality issues reported by the end users (customer relationship management).

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Description :

1. Managing offshore team resources and actively participate in requirements gathering and walkthrough.
2. Creating test strategy, test plan and successfully monitor and evaluate the completion of the business test cases through automation using selenium web driver API with major defects caught before going live along with performance test of the web application for load and scalability.
3. Scripting SQL queries on the source databases to analyze and validate the data. Adept at leveraging SQL for data analysis and data validation.
4. Writing SQL queries DDL and DML and test scripts for data validation, backend testing, and data analysis.
5. Facilitating JAD (joint application development) sessions with various end-user groups/stakeholders, subject matter experts, and development team by sending out a meeting agenda, reference documents etc.
6. Organizing quarterly projection data gathered in an orderly way for executive management.
7. Reporting bi-monthly data analysis findings to upper management to use in making organizational decisions.
8. Participating in collecting, organizing, and interpreting data along with fellow colleagues.
9. Collecting data from sales, marketing, and finance departments to use in establishing organizational structure.
10. Organize, extrapolate, and disseminate data across departments to be used for drawing conclusions about the success of current methods.

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Description :

1. Playing a key role in testing the new application (on air) to make sure that the new system supports the major functionality of the old system. Supervising team members during the testing and training of the new system.
2. Responsible for conducting meetings with data migration team to discuss the outstanding issues significant for efficient application development. Also responsible for validation of migrated data.
3. Work closely with developers, QA and production support analyst for troubleshooting and tracing performance issues in order to maintain the robustness of the application.
4. Work as a point of contact between the company and vendors application development team for efficient resolution of outstanding issues.
5. Prepare and update application field configurations to facilitate smoother and efficient application testing.
6. Responsible for logging all the issues on vendors defect tracking site (footprints, Jira).
7. Gather weekly metrics for outstanding high-level issues and present them in weekly review meetings.
8. Interact with the business users to define business requirements, data requirements and analyze the possible technical solutions.
9. Conducting workflow, process diagram and gap analysis to derive requirements for existing system term considerations, the long-term considerations, and their benefits.
10. Conduct process improvements, status meetings and monitor project progression using agile methodology.
11. Create use cases and test cases for each of the requirements and forward them to the developers for the design and development of the system.

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Description :

1. Working on improving data quality issues of federal data to increase accountability of vendors invoices which involves $2m of state funds.
2. Defining data quality requirements and reconciliation processes of invoice data.
3. Involved in writing data quality rules, defining data definitions starting with key data elements across the organizational data.
4. Regularly involved in data quality profiling, data quality measurement, and analysis of data involving data stewards and data owners.
5. Efficiently designing new master data entities or business rules to improve the quality of data.
6. Often recommend and implement changes to architecture to help improve data quality and operational efficiency.
7. Analyze the existing data repository to find the relations between the data elements and define the relationship between them.
8. Integrated the data collected during several business processes into a holistic master data database.
9. Extensive experience in writing SQL to validate the database systems and for backend database testing.
10. Valuable experience in handling data sources, data profiling, data validation, developing a low-level design.
11. Collaborating with the infrastructure, network, database, application and ba teams to ensure data quality.
12. Involved in root cause analysis of data quality issues and analyzing the data lineage.

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Description :

1. Interdisciplinary collaborations to improve processes and design and implement risk reduction initiatives.
2. Educate and train staff on core measures, lean, process improvement initiatives and process fallouts.
3. Close high severity patient safety reported events by performing a complete investigation, medical review, RCAS, designing and implementing corrective action plans that might include policy redesign.
4. Quality metrics reporting to cms, TJC, ascension health, NDNQI by data collection, chart abstraction, validations, CDAC CMS audits.
5. Create standard, ad hoc reports for clinical, quality and safety metrics from several databases.
6. Creating complete inpatient dashboard to drive change and improve hospital star rating-presented toa board of quality regularly.
7. Creating KPI for ongoing PI projects designed to improve worst performances.
8. Drive change and design process improvement plans through analytical and predictive approaches, then monitor the process to sustain improvement action plans.
9. Super user/ system admin for several databases/ portals (Premier, Optum, Quantros, Cerner, monarch, 3m, as400).
10. Several pi projectsfocuss on patient falls, ob department, ed, pharmacy medication events.
11. Radiation oncology Quality Analyst, COC, MD Anderson, moonshots HPV program.