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Information Technology 🏢 Full Time ⭐️ Verified

Senior Business Analyst

InnovateTech Solutions
Cleveland
Estimated Salary
USD 85.000 – USD 110.000
Live Update
16 Juni 2026
Deadline
16 Jun 2027

Job Description

Join InnovateTech Solutions as a Senior Business Analyst and become the bridge between technology and business strategy in Cleveland's thriving tech ecosystem. We're seeking a dynamic professional to drive data-informed decisions and optimize our digital transformation initiatives. Enjoy competitive benefits, flexible work arrangements, and opportunities to shape our product roadmap while working with Fortune 500 clients.

Responsibilities

  • Collaborate with stakeholders to translate business requirements into actionable technical specifications
  • Design and implement process improvements using BPMN and workflow analysis
  • Lead requirement elicitation sessions and maintain detailed documentation in JIRA/Confluence
  • Analyze complex datasets using SQL and Tableau to identify growth opportunities
  • Facilitate Agile ceremonies and ensure alignment between development teams and business objectives
  • Develop KPI dashboards and performance metrics for C-suite reporting
  • Coordinate UAT cycles and provide post-implementation support

Qualifications

  • Bachelor's degree in Business, Computer Science, or related field (MBA preferred)
  • 5+ years of experience in business analysis with SaaS or fintech exposure
  • Proficiency in SQL, data modeling, and visualization tools (Tableau/Power BI)
  • Certified Business Analysis Professional (CBAP) or Agile Certified Practitioner (PMI-ACP)
  • Expertise in requirement gathering methodologies and user story mapping
  • Strong stakeholder management experience with cross-functional teams
  • Experience with process mining tools (Celonis, UiPath) is a plus
  • Portfolio demonstrating successful process optimization projects

Required Skills

Business Analysis SQL Tableau Agile Methodologies Stakeholder Management Process Improvement Requirements Documentation Data Modeling

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