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Date Posted:  Jun 30, 2025
Company:  Data Analysis Inc

Title:  Associate Technical Operations Center Engineer

About Us

Data Analysis Incorporated (DAI) is the controlling entity of the O’Neil family of businesses. DAI and its subsidiaries operate in diverse industries worldwide, including global equity markets, health care, financial services, digital news, and insurance. Our global footprint allows our teams to be responsive to customer needs in a timely and efficient manner. We are dedicated to using technology and innovation to bring change and growth to our businesses. We believe in a dynamic workplace, creating engaging, informative products and services that help our customers succeed. Integrity is an essential characteristic for our firms and our associates; if this describes you, please apply!

Summary

The Technical Operations Center (TOC) Associate is responsible for monitoring IT infrastructure, network systems, and key business applications to ensure optimal performance and availability. This entry-level role provides real-time incident detection, basic troubleshooting, and escalation to minimize downtime and enhance system reliability. The TOC Associate collaborates with Infrastructure teams, including Systems Engineering and Network Engineering, to gain exposure to network monitoring and IT operations. 

This position is ideal for individuals with a foundational understanding of IT operations, strong analytical skills, and a desire to grow in a fast-paced technical environment.

Compensation and Schedule

  • $25 to $29 Hourly 
  • Overnight shift; Four 10-hour days; - Sunday to Wednesday; 8:00 PM - 6:30 AM

Duties and Responsibilities

  • Monitor IT infrastructure, network systems, and business applications using enterprise monitoring tools. 
  • Serve as the initial point of contact for technical incidents, performing basic troubleshooting and escalating as needed. 
  • Assist in identifying and analyzing system performance issues, outages, and security incidents. 
  • Collaborate with Infrastructure teams to enhance monitoring and observability capabilities. 
  • Support routine system health checks, preventive maintenance, and capacity planning. 
  • Assist with deploying patches, updates, and system upgrades under supervision. 
  • Document incidents, troubleshooting steps, and resolution processes in the IT ticketing system. 
  • Learn and follow IT security policies, best practices, and regulatory requirements. 
  • Participate in on-call or after-hours support as part of a 24/7 operations team. 

Qualifications & Requirements

Required Education, Experience, and Certification 

  • Education: Associate's or Bachelor's degree in IT, Computer Science, Networking, or a related field (or equivalent experience). 
  • Experience: 0-2 years of experience in IT operations, network monitoring, or a related field (internships or coursework may be considered). 

Preferred Certifications: 

  • CompTIA A+, Network+, or Security+ (preferred but not required). 
  • Microsoft Fundamentals Certifications (e.g., Azure, M365, or Windows Server). 
  • AWS Cloud Practitioner or Azure Fundamentals. 

Technical Skills & Knowledge 

  • Basic understanding of network protocols (TCP/IP, DNS, DHCP, VPN, VLANs). 
  • Exposure to enterprise monitoring tools such as SolarWinds, Splunk, Nagios, PRTG, or Zabbix. 
  • Familiarity with Windows/Linux server environments and cloud platforms (AWS, Azure, GCP). 
  • Understanding of ITIL best practices for incident and problem management. 
  • Basic scripting or automation knowledge (Python, PowerShell, Bash) is a plus. 

Soft Skills & Abilities 

  • Strong analytical and problem-solving skills. 
  • Ability to work in a fast-paced environment while managing multiple tasks. 
  • Effective communication and teamwork skills. 
  • Willingness to learn and adapt to evolving technology. 

Working Conditions

Must be able to perform the essential job duties. Work is performed primarily in an office environment. Typically requires the ability to sit for extended periods of time (66%+ each work day), ability to hear the telephone, ability to enter data on a computer and may also require the ability to lift up to 10 pounds.

Equal Opportunity Employer

Data Analysis Inc is an equal opportunity employer. All aspects of employment, including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

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