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Data manager skills for your resume and career

Updated January 8, 2025

7 min read

Quoted experts

Dr. Timothy Edwards,

Saquib Ahmed Ph.D.

Below we've compiled a list of the most critical data manager skills. We ranked the top skills for data managers based on the percentage of resumes they appeared on. For example, 7.2% of data manager resumes contained data analysis as a skill. Continue reading to find out what skills a data manager needs to be successful in the workplace.

15 data manager skills for your resume and career

1. Data Analysis

Here's how data managers use data analysis:

Finalized and submitted annual and quarterly performance evaluations for all systems, leading data analysis, investigative research and executive summary.
Facilitated the plankton split sample-monitoring program and performed associated data analysis of split sample results to insure monitoring data quality.

2. Visualization

Here's how data managers use visualization:

Developed data retrieval and visualization tools for site survey data package production.
Provide expertise to support MAJCOM organizations in spatial data visualization and analysis.

3. Data Quality

Here's how data managers use data quality:

Develop and maintain a 100% accuracy policy with measurable devices to analysis and evaluate Independent Stationers Group data quality performance.
Oversee the relationship with data delivery partners to Independent Stationers Group membership insuring complete data quality and on-time delivery.

4. 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.

Here's how data managers use data collection:

Developed an online survey management system that reduced numbers of errors in collecting data and improved efficiency in the data collection.
Manage data collection for the STARD project to determine physical and cognitive effects of anti-depressant pharmaceuticals provided by McKesson Pharmaceuticals.

5. Project Management

Here's how data managers use project management:

Implemented project management software to aid the organization's ability to execute projects consistently, while effectively managing expectations of stakeholders.
Directed project management activities within data support organization to ensure all data products and services aligned with sales and marketing goals.

6. Patients

Here's how data managers use patients:

Used network analysis methods to find patterns in M. tuberculosis transmission through interviewed patients and conducted contact investigations for data input.
Managed clinical trials by gathering data, monitoring adverse events, screening patients for eligibility and scheduling patients per protocol.

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7. 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.

Here's how data managers use sas:

Managed an Access pharmaceutical industry recruiting database with over 290 resume records ranging from SAS Programming to Business Development specialties.
Developed SAS programs to ensure data integrity in compliance with institutional review board guidelines.

8. 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 managers use java:

Created large numbers of java programs to effectively identify test data from complex payment messages.
Created proof of concept connectivity/read/write with Java, Python.

9. Clinical Data

Here's how data managers use clinical data:

Managed Clinical Data Management project activities at study level, which ensured efficient coordination between study and data management teams.
Experience working with Pharmaceutical data and clinical data to target Health oriented candidate for medical products.

10. Statistical Analysis

Here's how data managers use statistical analysis:

Assisted in statistical analysis of survey data used to prove effectiveness of new integrated curriculum for the Middle States Accreditation program.
Directed data management and statistical analysis for research teams in chemical engineering and mechanical engineering fields.

11. 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 managers use data governance:

Administered the day-to-day responsibilities of Material Master Data & Reporting Analysts, providing periodic audits in compliance with data governance standards.
Recruited to provide management direction and leadership to implement a global Master Data governance strategy.

12. ETL

Here's how data managers use etl:

Presented the ETL data-feed loading process and provided technical support to users at DHCS, CA.
Implement enhancements to an ETL solution that generates >500K per year for the business.

13. B Testing

Here's how data managers use b testing:

Established centralized and much needed database for reporting monthly lab testing expenses(via Access and Insight).
Provided technical analysis of sample sizes and power analysis in A/B testing under different practical scenarios.

14. Strong Analytical

Here's how data managers use strong analytical:

Provided and maintained strong analytical skills in evaluation, extraction, and QA with relational databases.

15. 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.

Here's how data managers use data entry:

Automated time consuming data entry functions, evaluated & streamlined overall processes which increased researchers' productivity and decreased error margin.
Assisted in maintaining, recording documentation via data entry, data verification, and scanning and uploading documentation into the storage/library.

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What skills help Data Managers find jobs?

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

What skills stand out on data manager resumes?

Dr. Timothy Edwards

Professor, Interim Director, University of Arkansas at Little Rock

Writing and research skills. Analytical and critical thinking skills. Technical skills such as web design, graphic design, audio and video production skills. Employers are interested in potential employees knowledge, intelligence and skills.

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

Saquib Ahmed Ph.D.

Assistant Professor, Engineering Technology, SUNY Buffalo State

A combination of fundamental scientific understanding married with data science knowledge (machine learning, neural networks, etc.); it is crucial to juxtapose these against the backdrop of industrial landscape, as well as state & federal policies.

What type of skills will young data managers need?

Peter Dordal Ph.D.

Director for Information Technology, Loyola University Chicago

I'm leaving off software developers, and answering about our Information Technology graduates.

IT students entering the business world will need to know how to get the maximum leverage out of business systems. In many cases, this will mean writing their own specialized queries to extract the precise business intelligence needed; general-purpose "canned" queries just won't cut it. They will need a broad understanding of what software can accomplish for the enterprise and how to deploy new software effectively; this applies to software used in the office as well as to software used in manufacturing and shipping. And they will need to understand how to lease storage and computing resources from the cloud to meet not only predictable, long-term demands but also sudden short-term business projects.

Students working in database administration and management will need to be able to manage much larger volumes of data than a few years ago. They will need to be familiar with the great variety of new databases in order to pick the best tool for the job.
Students working in network management will need to be able to ensure that everyone has the bandwidth and server access they need, as those demands expand to include extensive video, low-latency real-time connectivity, and the regular transfer of huge amounts of data.

Students in cybersecurity will need to be fully acquainted with all the recommended best practices. However, they will also have to be able to anticipate and guard against potential new vulnerabilities. "By the book" protection is no longer sufficient.

What soft skills should all data managers possess?

Travis Stouffer

Assistant Professor of Information Systems, Chair, University of Pittsburgh at Johnstown

-Conflict Resolution
-Attention to Detail
-Active Listening

What hard/technical skills are most important for data managers?

Bruce Heiman Ph.D.

Professor of International Business, San Francisco State University

-Analytical skills (ability to gather data, clean it, analyze it, write-up results and present on what the meaning of the analysis suggests for action (the last one is most important--"what does it really mean?"

-Some experience and skills with coding in any language (at the moment, Python or C++ are preferred, though Ruby on Rails is also good)

-Deep spreadsheet skills (pivot tables and macros, as examples).

-Relational database skills, including programming (e.g., MySQL)

-Data mining

-AI/Machine Learning experience

Do you want to know more?

List of data manager skills to add to your resume

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

Data Analysis
Visualization
Data Quality
Data Collection
Project Management
Patients
SAS
Java
Clinical Data
Statistical Analysis
Data Governance
ETL
B Testing
Strong Analytical
Data Entry
Customer Service

Extraction
HR
BI
Data Management
Math
Data Integrity
Working Independently
Master Data
Data Review
CRO
Data Warehouse
Analyze Data
SPSS
XML
SQL Server
Clinical Trials

Distributed Computing
Process Improvement
Troubleshoot
HTML
CRM
Client Facing
Prototyping
Database Design
Access Database
Data Lake
Technical Support
Oncology
Macro
Management System
Data Warehousing
UAT

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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