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Data Management Analyst Resume Examples

Data Management Analysts are responsible for protecting and enhancing data value. Common duties seen on a Data Management Analyst resume sample are migrating data across different systems, validating data, retrieving data as required by company staff, maintaining databases, and providing reports to company executives. Employers select resumes highlighting skills such as research abilities, critical thinking, decision-making, problem-solving, confidentiality, integrity, and computer proficiency. A Bachelor’s Degree in information systems management is usually required, and MBAs are preferred.

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Data Management Analyst Duties and Responsibilities

Data management analysts may work for themselves, selling their skills to various companies on a short-term basis, but there is also full-time employment available in large companies as well as with the government, which need constant data management. For all data management analysts, regardless of work environment, the core job duties include:

Gather Data Data management analysts collect and compile data such as financial information, employee work hours, and other facts that companies need to know.

Troubleshoot Data Security Problems These professionals identify potential risks to the security of data and find solutions to ensure data storage system integrity.

Analyze Business Information They analyze business information, such as expenses and budget trends, and look for ways to reduce costs and increase productivity by studying the data.

Prepare Reports Data management analysts record vital information regarding data security, systems information, and business information, using this information to create reports that highlight potential problems and fixes.

Quality Control The data management analyst is responsible for ensuring that data is being recorded and collected properly by management, IT teams, and other personnel who frequently work with business and system data.

Research New Data Sources Additionally, they look for new ways to find and collect data by researching potential new sources of information.

Create Data Security Guidelines Data management analysts create and enforce data security guidelines to ensure that information stays protected and systems do not get breached.

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Data Management Analyst Skills and Qualifications

Data management analysts know computer programming languages and understand how to read digital data, but they are also business-minded professionals who can spot problems and find ways to increase company revenues. Employers want analytical professionals who can display the following skill sets to perform this job:
  • Critical Thinking - Problem-solving is a big part of every data management analyst's job, so critical thinking skills are essential
  • Computer Programming - Data management analysts must be familiar with programming languages such as Python, SQL, and ETL to effectively analyze system data
  • Communication - Data management analysts must have excellent verbal and technical writing skills in order to create in-depth reports based on their data findings
  • Organization - Data management analysts must be able to absorb a lot of information and organize it into useable information, which takes a well-organized professional who can easily store and sort lots of facts
  • Multi-Tasking - They may also work on several projects at once, which requires multi-tasking abilities
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Data Management Analyst Education and Training

Employers require data management analysts to have a bachelor's degree or better in computer science or a related field. Many employers also require candidates for this job to have prior work experience in data management. Having extra education, such as a master's degree, can make up for a lack of previous work experience. There is little to no on-the-job training provided for newly-hired data management analysts, though most companies allow for a grace period of several weeks while new employees become familiar with the particular data systems they are working with.
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Data Management Analyst Salary and Outlook

According to the Bureau of Labor Statistics, "Management Analysts" received a median income of $81,330 annually and $39.10 hourly in 2016. The job growth for this industry is projected at 14 percent from 2016 to 2026, which is faster than the national average. There were more than 800,000 jobs available for management analysts in 2016. Management analysts look for ways to increase efficiency by analyzing information, performing many of the tasks of a data management analyst. According to PayScale, data management analysts earn a median annual income of $54,891. Data management analysts receive a full benefits package including health insurance, dental, and vision coverage. Life insurance and 401k plans are usually provided as well. Data management analysts also typically receive paid vacation and sick leave.
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Helpful Resources

Interested in pursuing a career as a data management analyst? If so, check out the following resources for more information:

Global Data Management Community - This website is designed for data professionals of all types. Go here to find a dictionary of data terms, education programs, information about certification programs, and to look for career opportunities in data management.

A Guide to the Business Analysis Body of Knowledge (BABOK Guide) - Delve into this in-depth guide to business analysis to find practical solutions to common problems and learn how to apply business knowledge to achieve better efficiency in office environments.

Digital Analytics Association (DAA) - The DAA offers job listings, events calendars, and professional education and certification resources for digital analytics professionals like data analyst managers.

Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst - Learn how to use data algorithms and how to use the best practices to analyze data efficiently and effectively, in this guide by Dean Abbott. This book contains information about analyzing data by using the best methods and practices with hands-on examples and various case studies highlighted.

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