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Data management associate skills for your resume and career
15 data management associate skills for your resume and career
1. Data Management
The administrative process that involves collecting and keeping the data safely and cost-effectively is called data management. Data management is a growing field as companies rely on it to store their intangible assets securely to create value. Efficient data management helps a company use the data to make better business decisions.
- Provided data management expertise by performing data entry contained on case report forms and clarifying discrepant information, updating clarification forms.
- Deliver high quality data to study teams through identification and resolution of data management issues.
2. Data Quality
- Develop familiarity with client-supplied data and with internally developed tools used to assess data quality and build requisite databases.
- Investigate and resolve data quality issues and escalate situations according to department processes.
3. Data Analysis
- Generate SQL queries on MS-Access to extract data and perform data analysis and mining activities.
- Provided data analysis and support for large (multi-million dollar annual revenue) audit clients.
4. PowerPoint
- Introduced and helped incorporate higher professional levels to previous PowerPoint presentation process.
- Created training manuals, PowerPoint presentations and updated SharePoint.
5. Data Collection
Data collection means to analyze and collect all the necessary information. It helps in carrying out research and in storing important and necessary information. The most important goal of data collection is to gather the information that is rich and accurate for statistical analysis.
- Managed data collection activities for various infectious diseases protocols.
- Participated in and led Case Report Form Meetings assigned to the creation of data collection tools.
6. Data Entry
Data entry means entering data into a company's system with the help of a keyboard. A person responsible for entering data may also be asked to verify the authenticity of the data being entered. A person doing data entry must pay great attention to tiny details.
- Performed data entry and analysis utilizing a variety of software tools.
- Researched client manager portfolios and performed data entry.
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- Work one on one with sites, CRA's, Study managers, and Clinical Data Specialist's.
- Generated and resolved discrepancy (differences between 1st and 2nd entry) reports on clinical data.
8. Commercial Banking
- Completed all-inclusive Management Associate commercial and corporate banking training program to include all areas of Commercial Banking.
- Analyzed commercial banking management and budgetary constraints during an economic downturn.
9. Data Integrity
Data integrity denotes the consistency or accuracy validation of data in the whole lifecycle of data. It ensures the security of traceability and search-ability of all data in a person's device to the source.
- Audited retirement account applications and the process to verify data integrity across all systems.
- Managed data integrity within the PLM across all portfolio's.
10. Data Warehouse
Data warehouse, often abbreviated as either DW or DWH is a system used in computing for data analysis as well reporting. The DW is also considered to be an integral component of business intelligence as they also provide storage facilities for both real-time and historical data. ETL and ELT are the two driving forces behind a data warehouse system.
- Implemented DataStage Job to convert Health Risk Assessment data in multiple formats and transform to the Advantage Suite Data warehouse standards.
- Trained new employees in BI tools and methods including Looker, PostgreSQL, and the data warehouse architecture.
11. SQL Server
- Verified data accuracy through custom reports Technologies used: MS SQL Server 2008, SSRS, SQL, SSIS,
- Created database views in SQL Server 2000 for data comparison to graphical UI.
12. ETL
- Maintained ETL conversion jobs, data models, schema changes and data feeds.
- Developed ETL Processes required in developing ERRP solution to implement for multi-customers.
13. FDA
The Food and Drug Administration (FDA) is a division of the US Department of Health and Human Services that regulates the production and sale of food, pharmaceutical products, medical equipment, and other consumer goods, as well as veterinary medicine. The FDA is now in charge of overseeing the manufacture of products like vaccines, allergy treatments, and beauty products.
- Assured documentation was in compliance with FDA regulations, Site files, FDA 1572, Informed consents, Drug Safety Reporting.
- Addressed FDA questions and concerns regarding silicone gel filled breast implants by participating on teams submitting study reports.
14. QA
QA, or Quality Assurance is a procedure that entails all of the steps taken to avoid any errors in the manufacturing process or in the production of the goods that a company produces. It can also include ensuring the consistency of the services rendered. Quality assurance ensures that the quality of the service delivered to consumers meets or exceeds the promised expectations. This greatly aids in the prevention of any complications that might arise after the goods or services have been distributed. It makes sure that customers are satisfied.
- Involved in QA / UAT Support during the Hardware Upgrade in Teradata.
- Maintained DB2 tables ensuring accuracy and completeness in UAT, QA and Production regions.
15. SAS
SAS stands for Statistical Analysis System which is a Statistical Software designed by SAS institute. This software enables users to perform advanced analytics and queries related to data analytics and predictive analysis. It can retrieve data from different sources and perform statistical analysis on it.
- Developed requirements, defined metadata, monitored data feeds for i2 Replenishment Planning project, working with SAS outside consultants.
- Educated in SAS programming to enable better dataset delivery.
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Dr. Joshua Feinberg
Associate Professor of Psychology, Saint Peter's University
What type of skills will young data management associates need?
Mark Gibson
Clinical Associate Professor, Washington State University
List of data management associate skills to add to your resume
The most important skills for a data management associate resume and required skills for a data management associate to have include:
- Data Management
- Data Quality
- Data Analysis
- PowerPoint
- Data Collection
- Data Entry
- Clinical Data
- Commercial Banking
- Data Integrity
- Data Warehouse
- SQL Server
- ETL
- FDA
- QA
- SAS
- EDC
- Data Issues
- GCP
- Electronic Data
- Emerging Technologies
- Profiling
- Clinical Trials
- Business Rules
- CRO
- SharePoint
- Reconciliations
- Regression
- CRFs
- Edit Checks
- Financial Statements
- Data Queries
- Statistical Analysis
- RAN
- Customer Data
- Oracle Clinical
- HR
- IV
- Client Service
Updated January 8, 2025