Business Analyst

Inactive
Z
Zone & CoSaaS, Finance
United KingdomFull-TimeMiddle
Salary not disclosed

Job Details

Languages
English
Experience
3+ years
Required Skills
Software DevelopmentSQLAgileBusiness AnalysisJiraProduct DevelopmentMicrosoft ExcelDocumentationCommunication SkillsAnalytical SkillsProblem SolvingCritical thinking

Requirements

  • 3+ years of experience as a Business Analyst, Systems Analyst, or similar role, with a focus on enterprise software or product development.
  • Background in mid-size finance teams is a must, with direct experience or deep knowledge of core financial processes, particularly the Order to Cash workflow.
  • Bachelor’s Degree in Business, Finance, Computer Science, or a related quantitative field required, Master’s preferred.
  • Demonstrated proficiency in requirements modeling (e.g., user stories, use cases, process flowcharts) and using requirements management tools.
  • Experience with ERP systems or financial software is highly preferred.
  • Solid understanding of the software development lifecycle (SDLC), Agile methodologies, and working with technical teams.
  • Ability to analyze and synthesize complex business information into meaningful executive summary reports.
  • Ability to innovate, execute and deliver results.
  • Proficiency with Microsoft Office/Google Products.
  • Strong attention to detail with the ability to meet tight deadlines.
  • Ability to communicate professionally, both written and verbal.
  • Effective problem solving and critical thinking skills.

Responsibilities

  • Conduct interviews and workshops to capture business needs.
  • Prioritize and manage the requirements backlog.
  • Translate business needs into technical requirements.
  • Identify and communicate risks and issues.
  • Develop and execute test plans.
  • Serve as functional resource during design and development.
  • Provide training and support materials.
  • Ensure documentation is thorough and accessible.
  • Scope projects and manage timelines.
  • Automate reporting and analytical tasks.
  • Present findings and recommendations.
  • Support data governance initiatives.
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