We may earn an affiliate commission when you visit our partners.

Data Administrator

Save
April 11, 2024 Updated May 20, 2025 17 minute read

Navigating the World of Data: A Career as a Data Administrator

A Data Administrator, often used interchangeably with Database Administrator (DBA), is a crucial role in today's data-driven world. These professionals are the custodians of an organization's data, responsible for ensuring that data is available, secure, efficiently managed, and reliable. Think of them as the librarians and security guards of a company's most valuable digital assets. They are involved in everything from the initial design and implementation of databases to their ongoing maintenance, performance tuning, and security.

Working as a Data Administrator can be incredibly engaging. Imagine the satisfaction of designing a database that perfectly supports a critical business application, or the challenge of optimizing a complex system to deliver information in milliseconds. Data Administrators play a vital role in protecting sensitive information from unauthorized access and ensuring that businesses can recover quickly from any data-related incidents. This career offers a blend of technical depth, problem-solving, and the opportunity to make a tangible impact on an organization's success.

Core Responsibilities of a Data Administrator

The day-to-day life of a Data Administrator is multifaceted, involving a range of critical tasks to keep an organization's data infrastructure running smoothly and securely. These responsibilities are foundational to the operational stability and data integrity of any modern enterprise.

Mastering Database Maintenance and Optimization

Share

Help others find this career page by sharing it with your friends and followers:

Salaries for Data Administrator

City
Median
New York
$89,000
San Francisco
$117,000
Seattle
$103,000
See all salaries
City
Median
New York
$89,000
San Francisco
$117,000
Seattle
$103,000
Austin
$141,000
Toronto
$75,000
London
£75,000
Paris
€41,000
Berlin
€81,000
Tel Aviv
₪105,600
Singapore
S$50,000
Beijing
¥65,000
Shanghai
¥86,000
Shenzhen
¥46,300
Bengalaru
₹409,000
Delhi
₹248,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Data Administrator

Take the first step.
We've curated 12 courses to help you on your path to Data Administrator. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Reading list

We haven't picked any books for this reading list yet.
Introduces the Python programming language and essential libraries like Pandas, NumPy, and Matplotlib for data analysis tasks, which are commonly used in data roles.
Provides a comprehensive introduction to deep learning, a subfield of machine learning that has revolutionized data analysis and interpretation.
This comprehensive guide covers a vast range of Excel 365 features, including detailed explanations of formulas and functions like VLOOKUP and its modern counterparts. It serves as an excellent reference for users of all levels, providing both foundational knowledge and in-depth coverage of advanced topics. Its breadth makes it a valuable resource for gaining a broad understanding and deepening knowledge, and it is often used by professionals.
Specifically targets formulas and functions in Excel 365, covering both classic functions like VLOOKUP and newer dynamic array functions and XLOOKUP. It's an excellent resource for deepening understanding of Excel's calculation capabilities and staying current with contemporary topics.
This exhaustive reference book covers all aspects of Excel formulas and functions, including VLOOKUP. It valuable resource for experienced users who want to master the use of functions in Excel.
Focused on applying Excel for data analysis and business modeling, this book includes the use of lookup functions like VLOOKUP in practical scenarios. It's suitable for users who want to see how VLOOKUP fits into larger data analysis tasks. is often used in business and data analysis programs at the undergraduate and graduate levels.
This comprehensive guide covers all aspects of VLOOKUP, including basic and advanced techniques, troubleshooting tips, and real-world examples. It is an excellent resource for beginners and experienced users alike.
Introduces the transformers, a type of neural network architecture, and their applications in natural language processing, which is becoming increasingly important for data roles.
Focuses on the practical aspects of data manipulation and analysis using Pandas, a widely used library in data roles.
Provides a comprehensive overview of the fundamental concepts, tools, and techniques used in data analysis, which is crucial for data professionals.
This updated version covers formulas and functions in Excel for Microsoft 365, including newer functions that complement or replace VLOOKUP. It's a good resource for contemporary topics and provides clear explanations for a broad audience.
Dives deep into a wide array of Excel formulas, providing a thorough understanding of their usage and potential combinations. It would cover VLOOKUP extensively and show how to use it with other functions for more complex tasks, ideal for deepening understanding.
This guide focuses on using Excel for data analysis tasks, incorporating functions like VLOOKUP within that context. It helps users understand how to apply VLOOKUP for practical data manipulation and analysis. It's a good resource for those looking to apply their VLOOKUP knowledge in a data analysis setting.
This comprehensive guide covers a wide range of Excel functions, including VLOOKUP. It valuable reference for users who want to master the use of functions in Excel.
While this book focuses more on the project management aspect, it introduces how data analytics can provide valuable insights and improve decision-making, which is an important aspect of data roles.
A slightly older but still relevant comprehensive guide to Excel 2019, covering VLOOKUP and many other functions and features. It's a strong resource for gaining a broad understanding and serves as a solid reference. While not the most current for the very latest features, it remains a valuable resource for core Excel knowledge.
This in-depth reference guide provides detailed explanations, step-by-step instructions, and numerous examples to help users master VLOOKUP. It valuable resource for anyone who wants to fully understand and utilize the function.
Is specifically dedicated to mastering the VLOOKUP function. It provides a step-by-step approach with examples, making it excellent for beginners or those who want to focus solely on VLOOKUP to solidify their understanding. It serves as a focused tutorial.
This comprehensive book provides a broad overview of artificial intelligence, which is foundational for understanding the role of data in AI systems.
This in-depth reference for Excel 2019 covers a wide range of features, including detailed explanations of formulas and functions. It's suitable for users looking for a comprehensive understanding and troubleshooting tips. It can serve as a valuable reference tool.
Focuses on data visualization using Tableau, a popular tool for presenting data insights, which crucial skill for data professionals.
Offers a structured, tutorial-based approach to learning Excel, including essential functions like VLOOKUP. It's well-suited for beginners and those who prefer a hands-on learning style to solidify their understanding. It can be used as a textbook for introductory courses.
Table of Contents
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser