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Data integrity analyst skills for your resume and career

Updated January 8, 2025

8 min read

Quoted experts

Dr. Todd Wittman Ph.D.,

Hanna Kim Ph.D.

Below we've compiled a list of the most critical data integrity analyst skills. We ranked the top skills for data integrity analysts based on the percentage of resumes they appeared on. For example, 8.3% of data integrity analyst resumes contained data governance as a skill. Continue reading to find out what skills a data integrity analyst needs to be successful in the workplace.

15 data integrity analyst skills for your resume and career

1. Data Governance

Data governance is an assortment of cycles, jobs, arrangements, principles, and measurements that guarantee the successful and productive utilization of data in empowering an association to accomplish its objectives. Information administration characterizes who can make a what move, upon what information, in what circumstances, utilizing what strategies

Here's how data integrity analysts use data governance:

Tasked with analyzing and maintaining master data, data clean up and data governance.
Worked with Data Governance, Data Integrity and Legal teams.

2. Data Analysis

Here's how data integrity analysts use data analysis:

Provided leadership in data analysis of current system ensuring successful transition to a global application for GENESYS.
Advanced levels of technical knowledge combined with sound business vision and data analysis/ integration skills.

3. ETL

Here's how data integrity analysts use etl:

Developed the SQL codes as well as used ETL tools for Data Cleansing, Data Mapping and conversion rules and applications.
Generated ETL scripts to fetch the aggregated data to our database, which we use in our reporting purpose.

4. Java

Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.

Here's how data integrity analysts use java:

Involved in migrating the back-end services written in Java to SOA services.
Modified existing and created new Ruby plugins, XSLT stylesheets and Java programs to fix existing and to build new feeds.

5. Data Quality

Here's how data integrity analysts use data quality:

Establish data quality reporting processes and analyze data quality reports to identify potential anomalies across multiple data sources.
Facilitate review meetings with business units to provided follow-up guidance driving increased reporting accuracy and improved data quality.

6. Strong Analytical

Here's how data integrity analysts use strong analytical:

Achieved and Maintained strong analytical skills while efficiently utilizing excellent oral and written communication skills.
Maintain strong analytical and problem solving skills, excellent communication and presentation skills.

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7. SQL Server

Here's how data integrity analysts use sql server:

Resolved performance issues of the reports by tuning the queries in SQL plus and SQL Server Management Studio.
Extract data from multiple sources, standardize the data, and produce analyses through several SQL Server platforms.

8. 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.

Here's how data integrity analysts use data management:

Collaborate across business units to enhance knowledge of data management.
Utilized extreme attention to detail and accuracy in data management.

9. Project Management

Here's how data integrity analysts use project management:

Involved into Project Management activity as per Software Quality Assurance standards with respect to responsible projects.
Involved into Project Management activity as per Software Quality Assurance standards and project methodologies like AGILE, Waterfall models.

10. BI

Here's how data integrity analysts use bi:

Worked closely with BI development to translate business requirements into functional specifications.
Involved in feature wise testing and compatibility of different BI tools for heterogeneous Tools.

11. Post Sales

Here's how data integrity analysts use post sales:

Provide Account Managers presales support and manage post sales implementation activities for product migrations.

12. 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.

Here's how data integrity analysts use data warehouse:

Developed a data warehouse for Supply Chain department to make scattered information readily available in one location via custom Access databases.
Designed a technical design document for mapping from oracle applications to Data warehouse.

13. XML

XML is a medium for storing and transporting data that is independent of software and hardware. XML stands for eXtensible Markup Language. XML, like HTML, is a markup language that was created to store and transport data. It was created with the intention of being self-descriptive. There are no predefined tags in the XML language. Another feature is that XML is extensible.

Here's how data integrity analysts use xml:

Created a homogeneous database system to store and retrieve large documents stored in the form of XML.
Performed extensive XML analysis and formulated business rules for data loads from XML files to database tables.

14. Data Extraction

Data extraction is the technique of retrieving and extracting the necessary data from various sources for data processing, storage, and/or analysis using tools that allow you to search through online resources. The extracted data may be structured or unstructured data. The extracted data is migrated and stored in a data warehouse, from where it is further analyzed and interpreted for business cases.

Here's how data integrity analysts use data extraction:

Have specific functional accountability including data extraction, data file matching & file analysis;
Use several sources for data gathering, such as open source and API's for data extraction and collection.

15. EMR

Here's how data integrity analysts use emr:

Provide responsive support to EMR interface clients after integration is completed
Coordinated training by the vendor or educated client to properly transmit electronic orders and review results in the EMR.

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What skills help Data Integrity Analysts find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

What skills stand out on data integrity analyst resumes?

Dr. Todd Wittman Ph.D.

Associate Professor, The Citadel

I would strongly recommend any mathematics major to get a good background in statistics and computer programming, even if that is not going to be their primary field of study. You can still concentrate on the topics that interest you, but it is important to diversify your skill set.

Getting involved in a research project tells a prospective employer that you have done work beyond the classroom. It shows that you can tackle a difficult problem that does not have an answer in the back of the textbook. At most colleges and universities, faculty are eager to work with bright undergraduate students on projects. Students are often intimidated by their faculty, but it does not hurt to ask. It might result in an interesting research experience, internship, or even a lead on a job after graduation.

What hard/technical skills are most important for data integrity analysts?

Hanna Kim Ph.D.

Associate Professor, Chair, Adelphi University

Hard skills: being more than monolingual! In a globally connected marketplace where young people worldwide are learning and mastering the English language, their multilingualism makes them attractive hires for multinational or international companies. Anthropology students know the non-negotiable importance of knowing a fieldwork language to understand peoples and their cultures. The same would hold for the workplace: knowing one or more languages affords an employee not just possibilities for work assignments: such an employee, i.e., an anthropology graduate who values the connection of language and culture, is ideally suited to work on projects that demand sensitivity to cultural, social, historical, and political nuances. This includes those who work in international humanitarian groups as well as those who work in global finance.

What soft skills should all data integrity analysts possess?

Hanna Kim Ph.D.

Associate Professor, Chair, Adelphi University

Important soft skills: strong emotional intelligence: Anthropology students with fieldwork experience, for example, from study abroad, field school, or a course/semester capstone or thesis project, know the challenges of conducting a project or being part of a team with a project goal. Being attuned towards one's interlocutors or colleagues, that is, being aware of and acting appropriately, whether to obtain rich fieldwork data or facilitate teamwork, are valuable skills. Successful fieldwork, even of short duration, tests one's skills of interaction in unfamiliar situations; of reading a situation that may be uncomfortable and strange to one's experience; of navigating power dynamics, and learning while doing when one does not have all the skills needed. The anthropology student who has emerged from the other side of fieldwork has acquired these abilities. I would say that anthropological fieldwork demands strong baseline soft skills in emotional intelligence, or what I might call a heightened awareness that how people react, behave, and perform rests on many factors. One learns from anthropology by paying attention to these factors (by discerning them through observation and not via assumptions) and understanding them in context rather than jumping to conclusions.

What data integrity analyst skills would you recommend for someone trying to advance their career?

A.J. Arreguin

Professor, Our Lady of the Lake University

The best thing for a student/graduate to do, if they're taking a gap year, would be to continue to enhance their skills in social media, marketing, and public relation writing by implementing practices to show progression in communicative methods when marketing a product/service/event or get a positive response/feedback to a well-organized campaign.

Students should volunteer with small/local businesses or create their brand (start a blog or become a niche social media influencer) to practice and build on their experience. Once the student/graduate does that, they should keep a weekly log with analytics to help them understand how to improve moving forward. This will be beneficial when applying for a communication/public relations job during an interview. The degree gets the student/graduate the talk, but the experience lands them the job.

What type of skills will young data integrity analysts need?

Zhixin Wu Ph.D.

Associate Professor, DePauw University

Problem solving skills, analytical skills, self-learning ability, and good communication skills.

What technical skills for a data integrity analyst stand out to employers?

Dr. Ferebee Tunno Ph.D.

Associate Professor, Arkansas State University

For people looking for a job in statistics (my field), it is essential to have knowledge of powerful software packages like R or SAS.

Do you want to know more?

List of data integrity analyst skills to add to your resume

The most important skills for a data integrity analyst resume and required skills for a data integrity analyst to have include:

Data Governance
Data Analysis
ETL
Java
Data Quality
Strong Analytical
SQL Server
Data Management
Project Management
BI
Post Sales
Data Warehouse
XML
Data Extraction
EMR
SAS
Data Warehousing

QA
Salesforce
Unix
HR
Technical Specifications
Informatica
FTP
Data Entry
HTML
Windows
CRM
Data Validation
Data Elements
Test Cases
Extraction
DB2
Process Improvement

Source Systems
PL/SQL
HIPAA
SME
HL7
SharePoint
Business Processes
Data Marts
Medicare
UAT
Data Integrity
Technical Support
ERP
User Acceptance
Ssis
Visio

Updated January 8, 2025

Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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