Computer Systems Analyst Goals and Objectives Examples
Analyze current computer systems and identify areas for improvement.
Develop and implement plans for system upgrades and improvements.
Help design new computer systems to meet business needs.
Stay up-to-date on industry trends and emerging technologies.
Evaluate hardware and software solutions for compatibility with existing systems.
Provide technical support to end-users and troubleshoot issues.
Monitor system performance and identify potential problems.
Create documentation to support system architecture and maintenance.
Collaborate with other IT professionals to optimize technology infrastructure.
Conduct research to identify new opportunities for process improvement.
Identify opportunities to reduce costs and improve efficiency in system operations.
Implement security protocols to protect sensitive data.
Manage system backups and disaster recovery efforts.
Develop training programs to help end-users learn new technology.
Configure and maintain network devices, such as routers, switches and firewalls.
Maintain relationships with vendors to ensure timely delivery of products and services.
Consult with management to determine system requirements and priorities.
Develop automation scripts and tools to streamline system maintenance.
Troubleshoot network connectivity issues.
Stay up-to-date on regulatory compliance standards related to technology usage.
Analyze user feedback to identify areas for improvement in software applications.
Design and execute testing plans to ensure software is working properly.
Recommend hardware and software purchases based on business needs and budget constraints.
Develop custom software applications to meet unique business requirements.
Evaluate cloud-based services for suitability within the organization's infrastructure.
Work with project teams to ensure technology needs are met during implementation efforts.
Develop disaster recovery plans to mitigate risks associated with technology disruptions.
Identify areas of potential data breaches or cyber attacks and develop plans to prevent them.
Train end-users on security best practices, such as creating strong passwords and avoiding phishing scams.
Manage virtualized environments using tools like VMware or Hyper-V.
Develop strategies for scaling technology infrastructure in response to business growth.
Create dashboards and other reporting tools to track system performance metrics.
Monitor network traffic patterns and identify potential security threats.
Develop policies around data retention and backup practices.
Work with cross-functional teams to develop business continuity plans in case of disasters or outages.
Write custom SQL queries to extract data from databases for analysis purposes.
Address performance issues related to slow system response times or application crashes.
Evaluate emerging technology solutions for potential business benefits or drawbacks.
Provide guidance to junior team members on technical matters or best practices.
Work with database administrators to optimize database performance.
Install and configure server operating systems like Windows Server or Linux distributions.
Ensure compliance with industry regulations regarding data privacy and security, such as HIPAA or GDPR.
Optimize storage systems to reduce costs and improve access speeds.
Develop detailed project timelines and coordinating tasks across multiple teams to ensure successful project execution.
Manage relationships with outside vendors providing services or solutions crucial to the organization's technological ecosystem.
Modify code in existing software applications to meet changing business needs or improve functionality.
Ensure all employees have adequate access permissions based on their roles or job responsibilities.
Continuously monitor technology developments relevant to organizational needs, leveraging them as appropriate into ongoing IT systems development plans.
Develop technical specifications for software developers or engineers to follow during the implementation phase of a new system or application upgrade project.
Configure load-balanced environments for high-traffic web applications or services requiring maximum up-time availability expectations.
Use agile development methodologies like Scrum, Kanban or Lean to plan sprints, backlogs and releases of new functionality.
Define data integration strategies across different software systems, including both commercial off-the-shelf (COTS) packages as well as bespoke applications.
Apply machine learning algorithms or statistical models in order to generate predictive insights from large amounts of raw data.
Develop comprehensive test cases to ensure all components of IT systems operate as expected.
Take active measures in selecting best-fit deployment architectures that minimize latency, maximize fault tolerance while optimizing compute resource utilization.
Debug mission-critical application issues such as downtime, error alerts, database overloads etc., in a timely manner so as not impact downstream customers.
Ensure adherence to IT service level agreements (SLAs) by monitoring key performance indicators (KPIs), establishing clear escalation paths when necessary.
Actively participate in technical standards committees either at a local, national or international levels.
Plan, execute and coordinate enterprise-wide cybersecurity assessments on a regular basis.
Review source code repositories using static code analyzers in order to detect vulnerabilities early in the development cycle.
Use containerization technologies like Docker or Kubernetes in order to run applications securely with minimal overheads.
Participate in code reviews by reviewing pull requests submitted by other team members before merging into release branches.
Conduct user acceptance testing (UAT) for newly developed applications before release into production environments.
Lead troubleshooting efforts that involve multiple teams spanning several locations in a seamless way in order to minimize downtime impact.
Participate as a subject matter expert (SME) when selecting third-party vendor software or services based on pre-determined criteria.
Use configuration management utilities like Ansible, Puppet or Chef in order to automate repetitive tasks across multi-tiered IT infrastructures.
Establish partnerships with key stakeholders across multiple departments within an organization in order to align strategic initiatives with tactical ones.
Advocate for best security practices by educating employees about password hygiene, phishing scams, social engineering and other attacker tactics.
Document knowledge-sharing sessions or brown-bag lunches conducted across departments for future reference by other team members or newcomers.
Institute a culture of continuous improvement by regularly soliciting feedback from various team members at all levels of the hierarchy.
Prepare training materials such as videos, webinars or tutorials aimed at increasing organizational proficiency with specific software systems.
Use open-source software stacks wherever feasible in order to reduce licensing costs whilst maximizing flexibility.
Ideate innovative ideas for building scalable IT platforms capable of supporting revenue growth at minimal operational expenses.
Observe critical changes in industry trends especially those that pertain to emerging techniques in machine learning / AI domains.
Enforce strict change management procedures that require approval from key stakeholders before implementing any significant modifications in production environments.