SENIOR BUSINESS ANALYSIS MANAGER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Updated: Oct 03, 2024 - The Senior Business Analysis Manager has expertise in managing transformation projects and driving process enhancements within technology-focused organizations. This role involves leveraging solid experience with Agile methodologies to deliver complex projects in the financial services sector, supported by robust data analysis skills using tools like Excel and PowerPoint. The manager also has effective interpersonal abilities to enable collaboration across diverse groups, influence outcomes, and implement enterprise-wide data governance standards.

Essential Hard and Soft Skills for a Standout Senior Business Analysis Manager Resume
  • Project Management
  • Agile Methodologies
  • Data Analysis
  • Financial Modeling
  • Business Process Modeling
  • Risk Management
  • SQL Programming
  • Statistical Analysis
  • Technical Writing
  • Enterprise Resource Planning
  • Leadership
  • Communication
  • Problem-Solving
  • Strategic Thinking
  • Negotiation
  • Adaptability
  • Team Collaboration
  • Influence
  • Time Management
  • Empathy

Summary of Senior Business Analysis Manager Knowledge and Qualifications on Resume

1. BA in Business Administration with 9 years of Experience

  • Experience in Data Management, Regulatory reporting, Data and Analytics
  • Professional working experience in Business Office, and Delivery Management
  • Experience working in Banking, Risk, and Finance domains
  • Must have excellent analytical and business skills
  • Demonstrate excellent leadership skills with relevant experience
  • Consistently demonstrate clear and concise written and verbal communication
  • Solid interpersonal skills with the ability to partner and influence across organizational lines
  • Proven ability to use complex analytical, interpretive, and problem-solving techniques
  • Strong data management background who understands data, data architecture, how to ingest data, process data, consume data, and data quality.
  • Proficient in SQL queries, data analysis and profiling, data quality monitoring rules and data quality issues resolution.

2. BA in Computer Science with 8 years of Experience

  • Exceptional communication (verbal and written) and interpersonal skills 
  • A remarkable ability to influence cross-functionally without direct authority
  • Results orientation and a strong sense of urgency 
  • Proven leadership skills who thrive in high-expectation situations involving multiple stakeholders across a matrixed organization
  • Strong project planning and management experience, highly organized and detail-oriented
  • Resilient, able to approach problems from different angles and identify the most adequate solutions
  • Ability to build key relationships at all levels and reach consensus despite differing goals and priorities
  • Excellent presentation skills with results-driven and data-centric
  • Demonstrate the ability to both work independently and partner with virtual teams
  • Strong knowledge and understanding of master data elements and processes per the necessary in-scope data domains, specifically Finance and Risk

3. BA in Finance with 11 years of Experience

  • Experience managing transformation projects/programs, driving operational process change and improvements in a technology organization
  • Capable of building, articulating, and presenting new ideas to technical, non-technical, and business communities.
  • Solid practical knowledge of or working experience with Agile delivery
  • Experience in delivering projects within a complex financial services environment
  • Strong experience with data analysis and presentation tools (e.g. Excel and PowerPoint)
  • Proven interpersonal skills with the ability to partner and influence across organizational lines
  • Proven ability to use complex analytical, interpretive and problem-solving techniques
  • Must have professional learning/certification - PMI-PMP
  • Ability to collaborate with the business and technical subject matter experts to ensure standardization of operational information and execution of enterprise-wide data governance policies and procedures are defined and implemented
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