Systems operations analyst

2 weeks ago

Malvern, Pennsylvania, United States Randstad Full time

job summary:
Responsibilities

  • Triage and troubleshoot problems. Attempt to solve. Escalate to another team if you can't solve it immediately
  • Look through logs, databases, applications to find the problem/root cause
  • Automate or improve processes by developing scripts, code/apps
Qualifications
  • Experience in data modeling techniques to analyze large data sources and generate predictive insights and solutions.
  • Evaluates statistical models, identifies patterns, develops and applies algorithms to determine validity of analyses, tests models, and develops visualizations to assist in business decisions.
  • Specializes in applying knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning concepts to create self running artificial intelligence (AI) systems to automate predictive models.
  • Evaluates existing statistical models using both general purpose software and statistical languages with the goal of adjusting and optimizing efficiency specifically within production environments.
  • Ability to learn quickly and retain information
  • People skills (good communication, approachable, good energy, handles stressful situations, etc.)
  • Problem solver: can use log files, read through KSH or other language scripts, trace an IT workflow and find the issue. (Does not need to code)
Nice to haves
  • Monitoring tool experience
  • Control-M and scripting skills
  • ServiceNow experience
  • AWS experience
location: Malvern, Pennsylvania
job type: Contract
salary: $ per hour
work hours: 8am to 4pm
education: No Degree Required

responsibilities:
Responsibilities
  • Triage and troubleshoot problems. Attempt to solve. Escalate to another team if you can't solve it immediately
  • Look through logs, databases, applications to find the problem/root cause
  • Automate or improve processes by developing scripts, code/apps
Qualifications
  • Experience in data modeling techniques to analyze large data sources and generate predictive insights and solutions.
  • Evaluates statistical models, identifies patterns, develops and applies algorithms to determine validity of analyses, tests models, and develops visualizations to assist in business decisions.
  • Specializes in applying knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning concepts to create self running artificial intelligence (AI) systems to automate predictive models.
  • Evaluates existing statistical models using both general purpose software and statistical languages with the goal of adjusting and optimizing efficiency specifically within production environments.
  • Ability to learn quickly and retain information
  • People skills (good communication, approachable, good energy, handles stressful situations, etc.)
  • Problem solver: can use log files, read through KSH or other language scripts, trace an IT workflow and find the issue. (Does not need to code)
Nice to haves
  • Monitoring tool experience
  • Control-M and scripting skills
  • ServiceNow experience
  • AWS experience
qualifications:
  • Responsibilities
  • Triage and troubleshoot problems. Attempt to solve. Escalate to another team if you can't solve it immediately
  • Look through logs, databases, applications to find the problem/root cause
  • Automate or improve processes by developing scripts, code/apps
  • Qualifications
  • Experience in data modeling techniques to analyze large data sources and generate predictive insights and solutions.
  • Evaluates statistical models, identifies patterns, develops and applies algorithms to determine validity of analyses, tests models, and develops visualizations to assist in business decisions.
  • Specializes in applying knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning concepts to create self running artificial intelligence (AI) systems to automate predictive models.
  • Evaluates existing statistical models using both general purpose software and statistical languages with the goal of adjusting and optimizing efficiency specifically within production environments.
  • Ability to learn quickly and retain information
  • People skills (good communication, approachable, good energy, handles stressful situations, etc.)
  • Problem solver: can use log files, read through KSH or other language scripts, trace an IT workflow and find the issue. (Does not need to code)
  • Nice to haves
  • Monitoring tool experience
  • Control-M and scripting skills
  • ServiceNow experience
  • AWS experience
skills:
  • Responsibilities
  • Triage and troubleshoot problems. Attempt to solve. Escalate to another team if you can't solve it immediately
  • Look through logs, databases, applications to find the problem/root cause
  • Automate or improve processes by developing scripts, code/apps
  • Qualifications
  • Experience in data modeling techniques to analyze large data sources and generate predictive insights and solutions.
  • Evaluates statistical models, identifies patterns, develops and applies algorithms to determine validity of analyses, tests models, and develops visualizations to assist in business decisions.
  • Specializes in applying knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning concepts to create self running artificial intelligence (AI) systems to automate predictive models.
  • Evaluates existing statistical models using both general purpose software and statistical languages with the goal of adjusting and optimizing efficiency specifically within production environments.
  • Ability to learn quickly and retain information
  • People skills (good communication, approachable, good energy, handles stressful situations, etc.)
  • Problem solver: can use log files, read through KSH or other language scripts, trace an IT workflow and find the issue. (Does not need to code)
  • Nice to haves
  • Monitoring tool experience
  • Control-M and scripting skills
  • ServiceNow experience
  • AWS experience
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

Applications accepted on ongoing basis until filled.

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