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Automation analyst skills for your resume and career

Updated January 8, 2025
5 min read
Quoted experts
Hanna Kim Ph.D.,
Hanna Kim Ph.D.
Below we've compiled a list of the most critical automation analyst skills. We ranked the top skills for automation analysts based on the percentage of resumes they appeared on. For example, 11.3% of automation analyst resumes contained java as a skill. Continue reading to find out what skills an automation analyst needs to be successful in the workplace.

15 automation analyst skills for your resume and career

1. 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 automation analysts use java:
  • Involved in setup and Configuration of testing environment with Eclipse, TestNG, Selenium WebDriver and Selenium Java client driver.
  • Involve in Manual and Automated Testing of the front-end application that was developed using Java, and Oracle technologies.

2. Macro

Here's how automation analysts use macro:
  • Analyzed manual processing procedures and wrote several macros and scripts creating significant efficiency gains.
  • Created forms, reports, macros, and tables to extract, transform, and transport ORACLE data.

3. Business Process

A business process is a group of tasks that are performed by people working in a business to attain a worthy product and to present it to their customers. A business process can also be defined as performing several steps to achieve a certain goal set by a company. Business processes need to set purposeful goals and the outcome of that goal should be clear.

Here's how automation analysts use business process:
  • Test Automation team supports in converting the manual Business Process Testing Components to automated Components across different applications of Sprint.
  • Communicated business requirements to offshore team to create automated test scripts for business processes.

4. C #

Here's how automation analysts use c #:
  • Prepared weekly status report which include project name and PAC # with the detail information.
  • Performed Automation Testing of each Build and then Regression testing on each builds using C # and Selenium WebD r iver.

5. UI

Here's how automation analysts use ui:
  • Developed Jenkins build job for Selenium BDD automated tests for the UI, Acceptance and Regression tests.
  • Created UI and Rules based test cases for Personal and Business lines.

6. QA

QA, or Quality Assurance is a procedure that entails all of the steps taken to avoid any errors in the manufacturing process or in the production of the goods that a company produces. It can also include ensuring the consistency of the services rendered. Quality assurance ensures that the quality of the service delivered to consumers meets or exceeds the promised expectations. This greatly aids in the prevention of any complications that might arise after the goods or services have been distributed. It makes sure that customers are satisfied.

Here's how automation analysts use qa:
  • Debugged/Reviewed framework for automation to enhance the efficiency of Automated QA projects.
  • Developed, documented and implemented QA standards for assigned applications.

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7. JavaScript

Here's how automation analysts use javascript:
  • Interfaced with the development team utilizing ASP, JavaScript and Visual Basic and produced detailed user-interface prototypes and performed usability testing.
  • Authored/Deployed business to business e-commerce web application utilizing WebFocus Maintain including modular programming, search engines and JavaScript.

8. Technical Support

Technical support or tech support are the services provided by any hardware or software company to users. They help in solving the technical difficulties the customers face with their products or services. Moreover, the tech support employees maintain, manage, and repair the IT faults. They are also responsible for resolving the network problems, installing and configuring hardware and software.

Here's how automation analysts use technical support:
  • Created ADHOC reports as required and provided technical support to staff and was the backup system administrator for the LAN.
  • Coordinated production schedules with applications management, DBA's, network support, computer operators, and technical support.

9. HTML

Here's how automation analysts use html:
  • Developed automated tests using Hybrid Automation framework - Dynamic data handling using XML containers, HTML Reports.
  • Used HTML Report to improve the readability for QTP/UFT run result.

10. Test Data

Here's how automation analysts use test data:
  • Test Script Development which involves test data management and database validation.
  • Performed the role of Subject Matter Expert (SME) and involved in Test Data Preparation and Test Execution.

11. Regression

Here's how automation analysts use regression:
  • Used Quality Center to communicated defects encountered during Regression Test and followed-up with developers until all issues were resolved.
  • Created tests that validated customer segmentation application for different kind of users and for regression scenarios.

12. API

Here's how automation analysts use api:
  • Utilize Selenium to effectively design and develop automation script; as well as SoapUI to perform Web Services API testing.
  • Create USH (Universal Self Help) tickets for API Ops and various teams for system/tasks investigations.

13. UAT

UAT stands for user acceptance testing, and it is the last phase in the software testing process that determines whether the software is fit for the purpose it was built or not. UAT checks two main things; whether the software fulfills the business requirements and can it be used by the end-users. It is the final and most critical step in the testing stages and it determines whether the software should be introduced in the market or not.

Here's how automation analysts use uat:
  • Prepare proposal requests for automated systems and support all phases including development, integration and UAT of the project life cycle.
  • Supported in creating Test cases to check the functionality of the enhanced application and performed User Acceptance Testing (UAT).

14. Automation Framework

Here's how automation analysts use automation framework:
  • Performed identification and implementation of the automation framework, environment, approach, and methodologies which are used for automated testing.
  • Gained knowledge to develop customized BDD automation framework using Cucumber, Watir-WebDriver, and Ruby.

15. Data Validation

Data validation is the process of reviewing and arranging data for efficient data analysis. Data validation includes checking data accuracy, quality of data source, and identifying the importance or relevance of the data.

Here's how automation analysts use data validation:
  • Performed web services data validations, input parameter validations, XML/WSDL configurations.
  • Performed Database testing for data Validation.
top-skills

What skills help Automation Analysts find jobs?

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

What skills stand out on automation analyst resumes?

Hanna Kim Ph.D.

Associate Professor, Chair, Adelphi University

Considering the undergraduate anthropology curriculum, many colleges and universities try to cover at least 2-3 of the 4 major subfields of Anthropology in their curriculum.
I say "try to" as the reality is that having faculty in all 4 subfields is not possible for many reasons. (The 4 subfields are cultural anthropology, archeology, biological anthropology (sometimes physical anthropology), and anthropological linguistics. These subfields are mirrored in graduate school where students going for PhDs will be focused on 1 subfield.)

For undergraduates with an anthropology degree seeking employment, I can speak only from the faculty side, not the employer side. My students report these factors as relevant to their being hired (and accepted into competitive schools in museum studies, social work, law school, etc.:
Analytical skills; clear writing; ability to synthesize large amounts of reading and data into well-supported arguments and interpretations; open-mindedness toward different identities and ways of being.

A hugely important skill that anthropology graduates have is the ability to be presented with a complex situation or problem, and to be able to chart a plan on how to approach the problem, gather data and other necessary information to solve the problem, and then to come up with a solution or possible strategies. Too often, particularly in situations involving human behavior, what is needed is a stronger grasp of social and cultural factors that could impede the desired outcome. Students of anthropology know that ways of doing things, and even seeing and thinking, are profoundly influenced by categories of thought that are culturally situated. This means that problem solving has to consider a network of variables that have an impact on behavior. Anthropology students, I would argue, would embrace this complexity rather than be hesitant to acknowledge it in favor of a more expedient and, in the long run, less successful solution.

What soft skills should all automation 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 hard/technical skills are most important for automation 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 automation analyst skills would you recommend for someone trying to advance their career?

A.J. ArreguinA.J. Arreguin LinkedIn profile

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 automation analysts need?

Lise Abrams Ph.D.Lise Abrams Ph.D. LinkedIn profile

Professor of Linguistics and Cognitive Science; Coordinator of Cognitive Science, Pomona College

Given the ever-increasing diversity of the workforce, graduates will need to work effectively with heterogeneous groups of people and be able to conceptualize problems from multiple perspectives. Solving today's and future problems requires critical thinking and analysis skills, and graduates will also need to do their part in promoting the accurate dissemination of knowledge. Majors like experimental psychology and cognitive science give their graduates the tools to better understand human behavior through a scientific lens.

List of automation analyst skills to add to your resume

Automation analyst skills

The most important skills for an automation analyst resume and required skills for an automation analyst to have include:

  • Java
  • Macro
  • Business Process
  • C #
  • UI
  • QA
  • JavaScript
  • Technical Support
  • HTML
  • Test Data
  • Regression
  • API
  • UAT
  • Automation Framework
  • Data Validation
  • Test Results
  • Jira
  • Selenium Web
  • User Acceptance
  • SQL Server
  • Ruby
  • Data Driven
  • Cucumber
  • Unix
  • UFT
  • HP ALM
  • Regression Test Cases
  • Functional Specifications
  • Jenkins
  • Automation Test Scripts
  • CSS
  • Test Plan
  • BDD
  • Test Scenarios
  • PL/SQL
  • Qa Testing
  • Mainframe
  • Ongoing Support
  • B Testing
  • XML
  • TFS
  • Windows XP
  • TestNG
  • Business Analysts
  • Debugging
  • Test Execution
  • SME

Updated January 8, 2025

Zippia Research Team
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.

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