Data Management Skills (With Definition And Examples)

Indeed Editorial Team

Updated 30 September 2022

The Indeed Editorial Team comprises a diverse and talented team of writers, researchers and subject matter experts equipped with Indeed's data and insights to deliver useful tips to help guide your career journey.

Skills for data management are in high demand since they enable professionals to use available data to support a company's overall organisational objectives. Even if you are not applying for a database management role directly, being able to highlight basic skills for data management can position you as a highly competitive candidate for job openings. Learning about different kinds of management skills for data can help you identify areas where you can grow and improve.

In this article, we discuss what data management skills are, list specific examples of these skills and outline how you can improve and highlight them.

What Are Data Management Skills?

Data management skills are abilities that enable professionals to effectively manage and use data. Data is available in abundance and is very important for businesses since it helps them grow and make important decisions. Competencies in this domain involve looking for patterns in data types, understanding database design fundamentals and being able to take part in short- and long-term database projects.

Examples Of Skills For Data Management

There are different kinds of skills that professionals use to store and manage data. If you are looking for work in this domain, consider developing these skills:

Analytical skills

Data analysis is the process of methodically applying statistical and logical approaches to comprehend data and draw inferences from it. Identifying patterns in data can help businesses optimise processes and improve revenue. Developing analytical skills involves becoming familiar with the data you have access to and creating innovative ways to use it to achieve objectives.

Database software management

The ability to effectively navigate database software is a prerequisite for most roles in this domain. Database managers locate records and use other software functions to isolate key data points. Professionals who work with databases may also use automated scripts to generate reports on large volumes of data.

Competent database managers typically have a thorough understanding of how different components in a database interact with each other. Knowledge of programming is an advantage in database management roles, but may not be a mandatory requirement.

Database planning and design knowledge

An in-depth understanding of database design concepts can help professionals succeed in building a career in this domain. You can make yourself familiar with the unique features, limitations and benefits of different types of databases. Similarly, it is also important to understand how to best analyse and store different types of data.

Knowledge of data integrity

Data integrity is a fundamental part of the design, implementation and use of any system that stores, processes or retrieves data. Maintenance and assurance of data accuracy and consistency are a part of a database's life cycle. Database users benefit from identifying and accounting for potential deviancies while using and evaluating raw data.

Communication skills

Communication skills are an important component of data management. In this domain, professionals typically use clear communication channels to review data and verify its accuracy. In data management roles, you may frequently liaise with business leaders and hardware, software and service providers.

Business intelligence

Database managers may analyse data and try to identify ways to use it for resolving issues and achieving business goals. Before the process of data collection starts, it is crucial to evaluate its purpose and understand how the data relates to organisational requirements. This strategic approach can help you gather the right kind of data and use it effectively to produce tangible results for an organisation.

Related: What Is Business Intelligence? (With Techniques And Uses)

How To Improve Skills For Data Management

If you want to improve your skills in data management, consider following these steps:

1. Pursue formal education

Many of the abilities necessary to fulfil the requirements of a role in data management involve a thorough understanding of complicated technological processes and programming. Participating in professional workshops or pursuing formal education are common ways to gain or improve these skills. If you do not already have a bachelor's degree in data management, you can still apply for jobs with degrees in related disciplines like information technology, systems engineering or computer science engineering.

Related: How To Share Your Education Background

2. Complete certification courses

Completing certification courses is another way to improve your data management abilities. Professionals who are skilled in data management may use Python, PERL, SQL, Java, XML and C++. Certifications are available for a range of programming languages and database management platforms. They help potential employers gauge or verify your skills in a hiring situation.

Related: How To List Certifications On A Resume (With Examples)

3. Improve communication skills

You can improve your communication skills to enhance your competence in a data management role. Professionals in this domain connect with team members, share insights and updates, coordinate amongst themselves and report to business leaders on a routine basis. While conversing, practise maintaining eye contact, asking relevant questions, providing feedback and being prompt in responding. Look for opportunities to develop your communication skills at work and outside of it. You may seek feedback on your communication from a friend, a colleague or a mentor to identify areas for improvement.

Related: How To Overcome Communication Barriers: Benefits And Tips

Using Data Management Skills In The Workplace

Data management encompasses a broad set of skills you can use at work to showcase expertise and create streamlined and efficient work processes. These are some pointers for using these skills in the workplace:

Regulate and document database use

It is standard practice for most enterprises to train professionals to access and use databases securely. Companies may share documents that detail protocols relating to database use and its documentation. Database managers can collaborate with members of the IT department to develop standard documentation and training processes for new recruits.

Monitor the security of the central database

Employees may sometimes create their own distribution lists and standalone databases in applications like Excel for convenience and efficiency. If you work with sensitive data, it is important to establish protocols to monitor and ensure the security of the central database. A lapse in security can result in data breaches leading to loss of crucial resources and information.

Use data to support business objectives

Using data to support business objectives can help business leaders evaluate management decisions and evolve their strategies over a period of time. Database managers typically identify methods to use data to support core goals and objectives. This data can compel business leaders, investors and stakeholders to adopt appropriate courses of action, for growing and developing a business.

Related: Business Analyst Vs. Data Analyst: What Is The Difference?

Highlighting Skills For Data Management

Follow these pointers to effectively highlight your skills for data management:

On a resume

You can highlight skills for data management using the work history and skills sections on your resume. Showcase how you worked as part of a team to successfully manage a database or contribute to the documentation of business procedures. You can also mention any data-analysis experience you have, emphasising instances when you used data to help an organisation achieve its goals. Discuss specific programming languages you have worked with in the skills section of your resume. You may mention any recognised certifications or qualifications you have that attest to your skills.

On a cover letter

A cover letter is an excellent place to discuss personal experiences. Discuss the quantifiable results you obtained in your career and how your abilities assisted an employer in attaining organisational goals and improving procedures. Keep your cover letter short and clear, focusing largely on experiences most relevant to the job role you are applying for.

In an interview

In an interview, it is good practice to talk about specific instances where you collaborated with a team of professionals to manage and analyse data. Discuss the influence data management has on company goals to indicate that you are knowledgeable in the domain. Prepare to talk about how you collect data, why you collect it and how it can help an enterprise optimise its processes and expand its operations.

Please note that none of the companies, institutions or organisations mentioned in this article are associated with Indeed.

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