Process Engineering & Business Analyst

Job Summary

The Process Engineering & Business Analyst is responsible for analyzing, redesigning, and optimizing business processes to improve efficiency, quality, customer experience, and operational performance. The role partners with business stakeholders, operations teams, technology teams, and transformation leaders to identify improvement opportunities, define business requirements, support automation initiatives, and drive continuous improvement across the organization.

Process Engineering

• Analyze current-state processes and identify improvement opportunities.
• Conduct process mapping, value stream mapping, and workflow analysis.
• Design future-state processes that improve productivity, quality, and customer experience.
• Lead Lean, Six Sigma, and continuous improvement initiatives.
• Identify process bottlenecks, control gaps, and operational risks.
• Establish process governance, SOPs, and operational standards.
• Develop process performance metrics and monitoring frameworks.

Business Analysis

• Gather, document, and validate business requirements.
• Facilitate workshops with stakeholders to understand business needs and pain points.
• Translate business requirements into functional specifications.
• Conduct root-cause analysis for operational issues.
• Support business case development and cost-benefit analysis.
• Prepare user stories, process documents, BRDs, and requirements traceability matrices.

Automation & Digital Transformation

• Identify opportunities for automation using RPA, AI, workflow tools, and intelligent automation.
• Partner with technology teams during solution design and implementation.
• Support UAT planning, testing, and deployment.
• Measure automation benefits and track realization of business outcomes.
• Drive digital transformation initiatives across operational functions.

Data & Analytics

• Analyze operational data to identify trends and improvement opportunities.
• Develop dashboards and performance reporting.
• Define KPIs, SLAs, and process health metrics.
• Perform quantitative analysis to support decision-making.

Stakeholder Management

• Engage with business leaders, operations managers, and technology teams.
• Present recommendations and transformation roadmaps to leadership.
• Facilitate change management activities and stakeholder communications.
• Support training and adoption of new processes and technologies.

Education

• Bachelor's degree in Engineering, Business Administration, Operations Management, Information Systems, or related discipline.
• MBA preferred.

Experience

• 5 10 years of experience in Process Excellence, Business Analysis, Operational Transformation, Consulting, or Continuous Improvement roles.
• Experience within Financial Services, Banking Operations, Payments, Capital Markets, or Shared Services preferred.

Process Excellence

• Lean
• Six Sigma (Green Belt/Black Belt preferred)
• Process Re-engineering
• Value Stream Mapping
• Root Cause Analysis
• Continuous Improvement

Business Analysis

• Requirements Gathering
• BRD and Functional Specification Development
• User Story Creation
• Process Documentation
• Gap Analysis
• Stakeholder Management

Analytics & Tools

• Advanced Excel
• Power BI/Tableau
• SQL (preferred)
• Visio/Lucidchart
• JIRA/Confluence
• Power Platform

Automation Knowledge

• RPA (UiPath, Automation Anywhere, Blue Prism)
• Workflow Automation
• AI/Generative AI Use Cases
• Process Mining (Celonis preferred)

Leadership Competencies

• Strategic Thinking
• Problem Solving
• Analytical Mindset
• Influencing Skills
• Change Leadership
• Executive Communication
• Customer Focus
• Results Orientation

Success Measures (KPIs)

• Productivity improvement delivered
• Cost savings achieved
• Cycle time reduction
• Quality improvement
• Automation benefits realized
• SLA achievement
• Customer satisfaction improvement
• Stakeholder satisfaction scores
• Project delivery performance

The role should focus on:

• End-to-end process transformation
• Capacity optimization
• Cost takeout initiatives
• Control and risk enhancement
• AI and automation deployment
• Service delivery excellence
• Workforce optimization
• Client experience improvement
• Regulatory and compliance alignment