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Support Analyst, SaaS Applications, FinTech

Leadsearch Ltd
Job LocationCentral London
EducationNot Mentioned
Salary£28,000 - £32,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

Market-leading award-winning finance and technology innovator has a new opportunity for a support analyst to join their team and provide 1st and 2nd line application and operations support. An outstanding opportunity to develop your skills and career prospects. This would suit you if you have a science, technical, engineering or maths degree and experience in a customer-facing application support role.Primary responsibilities as Support Analyst

  • 1st and 2nd line application support to a global client base
  • Analysing customer data and providing audit information
  • Monitoring system application and infrastructure health
  • Configuration changes
  • Aiding onboarding new customers
  • Shift work covering 6am to 11pm (see below for shift pattern)
    • Required skills and experience
  • A STEM degree (Science, Technology, Engineering or Maths)
  • Customer-facing application support experience
  • Ideally some experience with SQL, XML, ITIL, Jira, SWIFT
  • German or Spanish language skills are advantageous
    • Whats on offer for the Support Analyst
  • Market-leading FinTech with an enviable reputation for innovation, market position, and growth
  • Generous remuneration and impressive earning potential through the discretionary bonus
  • Join top talent from the banking, fin-tech and financial services markets
  • Exposure to new technology and learning
  • Career progression
    • RemunerationTo £32K plus bonus, pension, and other benefits.The Support Analyst works shifts covering 6 am to 11 pm as follows:
  • One early shift (6 am>2.30pm)
  • Three normal shifts (9 am>5.30pm)
  • One late shift (2.30pm>11pm)
    • Interested Then please click apply. Required skills
  • Application Support
  • Customer Service
  • Data Analysis

    • Keyskills :
    Application Suppt Customer Service Data Analysis

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