Become anAutomation Anomaly Analyst

As an Automation Anomaly Analyst, you’ll be mastering technological exploration, prying apart the depths of automated systems to uncover hidden anomalies and solve complex challenges.

Your work as an Automation Anomaly Analyst ensures the smooth operation of vital technologies, from software applications to manufacturing processes, keeping businesses and industries running smoothly and efficiently.

• Detect and solve hidden digital problems.
• Use advanced tech to keep systems secure.
• Protect organisations from costly cyber threats.
• Be the first line of defence against system failures.

• Detect Anomalies Automation Anomaly Analysts monitor automated systems, such as software applications, industrial processes, or network infrastructure, to identify any deviations from normal operation. They use a variety of tools and techniques to detect anomalies, including data analysis, monitoring software, and diagnostic tests.
• Investigate Issues When anomalies are detected, Automation Anomaly Analysts investigate the root cause of the problem. They examine system logs, review code, and analyse data to determine why the anomaly occurred and how it can be addressed.
• Troubleshoot Problems Once the cause of an anomaly is identified, Automation Anomaly Analysts work to troubleshoot and resolve the issue. This may involve debugging software, adjusting system configurations, or implementing patches or updates to fix the problem.
• Implement Solutions Automation Anomaly Analysts collaborate with other members of the technical team, such as software developers, engineers, and system administrators, to implement solutions to prevent future occurrences of the anomaly. They may recommend changes to system design, update software configurations, or develop new monitoring protocols to enhance system reliability.
• Monitor Performance In addition to responding to anomalies, Automation Anomaly Analysts also monitor the ongoing performance of automated systems to ensure they continue to operate smoothly. They track key performance metrics, analyse system data, and proactively identify potential issues before they escalate into problems.
• Document Findings Automation Anomaly Analysts maintain detailed documentation of their investigations, findings, and solutions. This documentation helps to track the history of system anomalies, provides insights for future troubleshooting efforts, and ensures compliance with regulatory requirements.

Automation Anomaly Analysts are in demand across a wide range of industries, including:

• Technology
• Manufacturing
• Finance
• Healthcare
• Transportation
• Energy

An Automation Anomaly Analyst could need skills such as:

• Analytical Thinking
• Problem-Solving
• Attention to Detail
• Critical Thinking
• Technical Aptitude
• Communication Skills

If you aspire to become an Automation Anomaly Analyst, focus on the following STEM subjects in high school:

• Mathematics Develops analytical skills necessary for data analysis and problem-solving in anomaly detection.
• Computer Science Teaches programming, software development, and understanding of automated systems.
• Physics Provides insight into systems dynamics and helps understand the principles behind automated processes.
• Information Technology Equips you with knowledge about networks, cybersecurity, and the tools used for monitoring and managing anomalies.

• Simulate Cyber Attacks to Test Defences Run simulated cyber-attacks on automated systems to test their resilience and identify any vulnerabilities.
• Use AI for Predictive Analytics Utilise artificial intelligence tools to predict potential anomalies before they occur, keeping systems one step ahead of any issues.
• Deploy Drones to Check Physical Assets Oversee drones or automated robots that inspect remote or hard-to-reach assets for signs of wear, damage, or tampering.
• Work in a High Tech Command Centre Operate from a state-of-the-art command centre with access to cutting-edge monitoring tools and dashboards displaying real time data.
• Collaborate with Global Experts Work with international teams to develop best practices and share knowledge about the latest developments in anomaly detection.

• Dr. Priya Saha An expert in machine learning and anomaly detection, Dr. Saha is at the forefront of research into AI-driven solutions for automation security.
• Elena Roberts A senior analyst at a major tech firm, Elena specialises in developing sophisticated algorithms that monitor and detect anomalies in large-scale automation systems.
• Meghan Lee A thought leader in the field, Meghan combines her background in data science with her passion for security, working to create new tools that keep automated processes safe and efficient.

To enter into your potential career as an Automation Anomaly Analyst, some personality traits could set you apart:

• Analytical
• Curious
• Persistent
• Detail-Oriented
• Adaptable
• Resilient

• Bachelor of Science (Cybersecurity or Computer Science) A degree in Cybersecurity or Computer Science provides a solid foundation for a career in anomaly detection and automation security. Edith Cowan University (ECU) in Western Australia offers a Bachelor of Science (Cyber Security), which includes modules on network security, data protection, and advanced system monitoring. This course equips students with the essential skills to detect and address anomalies in automated systems, as well as understand the principles of ethical hacking and risk management.
• Bachelor of Data Science For those interested in the analytical side, a Bachelor of Data Science is an excellent pathway. Curtin University offers a Bachelor of Science (Data Science), where you will learn about big data analytics, machine learning, and predictive modelling — key tools for identifying and understanding anomalies in automation systems. The course focuses on developing strong analytical skills and experience with the latest software and tools used in the field.
• Master’s in Cybersecurity or Data Analytics A master’s degree in Cybersecurity or Data Analytics offers more specialised training in managing digital threats and handling complex data sets. The University of Western Australia (UWA) offers a Master of Data Science, which provides advanced knowledge in data mining, statistical modelling, and AI applications, all crucial for an Automation Anomaly Analyst who must interpret complex data and detect irregular patterns.
• Graduate Certificate in Automation and Security For a more focused approach, consider a Graduate Certificate in Automation and Security from institutions like Murdoch University. This program covers topics such as automation software, security protocols, and anomaly detection systems, equipping you with practical skills to work with cutting-edge technologies and defend against digital threats.

Exploring interdisciplinary studies can enhance your skills and knowledge as an Automation Anomaly Analyst. By combining degrees or taking courses from various fields, such as computer science, mathematics, and engineering, you can develop a well-rounded understanding of automated systems and analytical techniques. For example, studying mathematics alongside computer science can strengthen your problem-solving abilities, while incorporating courses in psychology or sociology can enhance your communication and teamwork skills.

During your studies to become an Automation Anomaly Analyst, you’ll look into a range of subjects that will equip you with the necessary skills and knowledge to excel in the field.

From learning about programming languages, data analysis techniques, system architecture, to software development methodologies. Additionally, you’ll develop critical thinking skills, problem-solving abilities, and attention to detail through hands on projects and real-world applications.

While pursuing formal education is valuable, gaining  experience through internships, part time jobs, or volunteering opportunities can provide invaluable insights into the role of an Automation Anomaly Analyst. Look for opportunities to work with technology companies, software development firms, or research institutions where you can apply your skills in a real-world setting and learn from experienced professionals in the field.

• Internships with Tech Firms or Cybersecurity Consultancies Gain practical experience by interning with tech firms or cybersecurity consultancies like AusCERT or CyberCX. These placements offer opportunities to work on real projects that involve monitoring systems, detecting anomalies, and responding to cyber threats, giving you valuable  experience.
• Collaborate on University Research Projects Participate in university research projects focusing on cybersecurity, AI, or data analytics. Institutions like Edith Cowan University (ECU) often run projects that allow students to apply their skills in anomaly detection, system analysis, and cybersecurity strategy.

If pursuing a full university degree isn’t feasible for you, there are alternative pathways to becoming an Automation Anomaly Analyst. Consider options such as:

• Certifications in Cybersecurity or Automation Systems Gain practical skills and recognised qualifications through courses such as the Certified Information Systems Security Professional (CISSP) or a Certificate IV in Cyber Security from TAFE WA. These certifications provide training in anomaly detection tools, network security, and ethical hacking techniques, preparing you for immediate entry into the field.
• Short Courses on Machine Learning or AI for Cybersecurity Attend short courses or workshops on machine learning, AI for cybersecurity, or automation offered by organisations like CyberWest or Australian Information Security Association (AISA). These courses provide insights into the latest developments in anomaly detection and cybersecurity technologies.
• Join Cybersecurity Networks and Professional Bodies Connect with networks such as the Australian Cyber Security Centre (ACSC) or join professional bodies like the Australian Computer Society (ACS) to stay updated on industry trends, research, and job opportunities in cybersecurity and anomaly detection.
• Attend Conferences and Seminars on Cybersecurity and Automation Participate in events like the CyberWest Summit or the Australian Information Security Conference (AISC) to learn from leading experts, explore innovative practices, and network with professionals dedicated to enhancing automation security.

• Western Australia In Western Australia, Automation Anomaly Analysts are in demand across various industries, including mining, oil and gas, and technology. With the state’s strong focus on innovation and technology-driven solutions, there are abundant opportunities for skilled professionals to make a difference in optimising automated systems and ensuring operational efficiency.
• Australia Across Australia, Automation Anomaly Analysts play a vital role in diverse sectors such as finance, healthcare, manufacturing, and telecommunications. As businesses increasingly rely on automated systems to streamline processes and improve productivity, the demand for talented individuals who can detect and resolve anomalies continues to grow. Whether it’s identifying software bugs, optimising industrial processes, or ensuring network security, Automation Anomaly Analysts contribute to the smooth operation of critical systems nationwide.
• Rest of the World Beyond Australia, Automation Anomaly Analysts are sought after in industries worldwide, from USA tech giants to European manufacturing hubs and Asian financial centres. With the rapid advancement of technology and the increasing integration of automation into everyday life, there are exciting opportunities for skilled professionals to pursue rewarding careers in anomaly analysis across the globe.