SV Tech Systems Inc

SV Tech Systems Inc

Business Analyst @ Minneapolis, MN

Minneapolis, MN, United States · Mid

Sponsorship not specifiedDetected 4164 days ago
SQLProject ManagementCommunicationProblem Solving

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Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • A direct Minneapolis, MN client seeks an Enterprise File Transfer and Batch Scheduling Analyst.
  • The successful candidate will fulfill the role of an Analyst responsible for understanding and documenting the File transfer and Batch scheduling tools, processes and roles and responsibilities within the functional line.

Responsibilities

  • The Enterprise File Transfer and Batch Scheduling Analyst will gain an understanding and document the file transfer and batch scheduling tools and operational processes of such.
  • Identify gaps in skill set and help design the operational roles and responsibilities and workflows and maintenance strategies
  • Provide day-day operational support in support of the enterprise services.

Requirements

  • 4+ years of Information Technology experience
  • Experience working with Axway Secure Transport.
  • Experience working with Autosys 11.3.5+ in a large scale relational databases (Oracle, SQL Server, etc.) environment.
  • Experience with project management practices.

Nice to have

  • Experience working with the latest releases of the various PeopleSoft applications.
  • Familiarity with security frameworks such as ISO 27000, NIST.
  • Familiarity with ITIL.
  • Experience providing technical team leadership.
  • Technical Recruiter,
  • 830 Stewart DR, Suite # 241 Sunnyvale, CA-94085
  • www.linkedin.com/in/praveenusitrecruiter/
  • https://twitter.com/praveenendla02

Skills

  • Title: BA w/Enterprise File Transfer and Batch Scheduling Skills

Benefits

  • Candidate will provide operational support for day-to-day needs, as appropriate, to ensure proper coverage for service support.

This listing is sourced directly from SV Tech Systems Inc's careers page and normalized into a canonical job model.