Jobs involving automation cover a wide variety of tasks. While RP automation typically focuses on automating repetitive, frequently occurring rule-based activities, intelligent automation makes use of artificial intelligence (AI) technologies like machine learning, natural language processing, structured data interaction, and intelligent document processing. We have compiled the top 10 automation occupations from the list of jobs that will be automated in 2023.
- Senior Engineer: ability to write scalable code in the Python programming language testing and debugging software creating components for the back end. connecting user-facing components with data storage choices using server-side logic. collaborating with front-end programmers. Security and data protection implementation in quick, reliable, and effective applications
- Analyst: Engage in both machine/equipment design, development, upkeep, and support project support operations on the shop floor. Workflows and RPAs for various organisational functions and business units may be among these activities. Be the liaison between the development or support team and the business stakeholders when implementing or managing process automation. Control the development group and offer technical assistance.
3. Tests for Intelligent Automation
Knowledge of the related technologies: Rational Tooling, Open Source Automation Examples include Tooand MicroFocus UFT Cucumber, OpSoapUI, PostMan, RESTAssured, and Mockito. understanding of test and defect management tools, including JIRA and MicroFocus ALM At least one scripting language, such as Perl, Python, VBScript, or Shell, should be known. understanding of source control systems based on SVN or GIT understanding of Maven and CircleCI as build tools knowledge of automated reporting in practise. understanding of CI, CD, and CT tools Jenkins, Bamboo, and Quickbuild knowledge of SauceLabs BrowserStacktack’s cloud-based web and mobile testing platforms
- Business Analyst: Strong knowledge of database query languages like SQL and practical expertise with them are essential programming skills. Excellent applied statistical skills include knowledge of statistical tests, distributions, and regression. Extraction of useful data from valuable data sources is known as data mining. exposure to data modelling, cleansing, processing, and ensuring the accuracy of data utilised for analysis knowledge of statistics having knowledge of data visualisation tools In order to find patterns and answers, a significant amount of data is examined using Tableau/Power BI.
- Automation engineer: Assist the business with identifying opportunities for effective use of intelligent automation. Help the business identify potential for automation by defining, documenting, and digitising processes based on universal principles (TM Forum). In order for business divisions to design Bots to suit changing demands based on campaigns, seasons, and new segments, assist the organisation in developing its intellectual property.
- Senior Business Operations Analyst: To carry out particular duties related to the deliverables, such as actively taking part in the analysis and requirement-gathering. User acceptance testing, software requirements specifications, business requirement documents, and functional requirement documents must all be well understood. Create the necessary records, including meeting minutes and specifications, to ensure that teams can collaborate successfully and uphold transparency. He or she should be in charge of setting up impress.ai for specific clients and be capable of troubleshooting issues on their own.
- Automation Testing Engineer: Capable of handling tasks involving test automation a great deal of experience with web-based user interface, mobile (Appium Automation), and database testing skilled at designing the test solution and doing gap analyses, knowledgeable about test management tools and JIR, adept at developing test strategies, test plans, and test cases Black Box testing expertise, great team player, and self-motivator. It is desirable to have excellent communication skills and client-handling expertise.
- Intelligent Automation Developer: This position requires certification and practical knowledge of a variety of intelligent automation tools, such as UiPath. It also requires experience with coding languages, such as Python or JavaScript, and the handling and transformation of large amounts of data using data management tools, such as SQL. Proficiency with next-generation technologies (such as AI, ML, OCR, VR, computer vision/image processing, and Deep Learning tools and techniques) and cloud technologies (such as Microsoft Azure, Google Cloud, Amazon Web Services, and cloud-specific PaaS and SaaS solutions)
- Automation Head Engineer: Assist the company in identifying opportunities to employ intelligent computerization wisely. Help the business identify potential for automation by defining, documenting, and digitising processes based on universal principles (TM Forum). Contribute to the company’s intellectual property development so that business divisions can set up bots to cater to shifting demands based on campaigns, seasons, and new market segments.
- Intelligent Automation Analyst: Skills and knowledge for an Intelligent Automation Analyst include Blue Prism Developer, RoboCorp Developer, Power Automate, Power Query / VBA, and Python.
