Business Process Automation Specialist

The ideal candidate has a blend of business acumen and technical skills, with a strong focus on implementing automation solutions, including those powered by AI and machine learning.

Key Responsibilities:

• Process Analysis & Documentation: Assist in process mapping and documentation of current workflows to identify inefficiencies and areas for improvement.
• Data-Driven Insights: Perform data analysis to identify trends, inefficiencies, and key opportunities for automation and improvement. Prepare reports and dashboards to track process performance and KPIs.
• Automation Design & Implementation: Design, develop, and implement automation workflows using a variety of tools, including Robotic Process Automation (RPA), workflow automation platforms, and AI-driven systems.
• AI Integration: Contribute to AI/ML-related initiatives when relevant, such as predictive analytics or process optimization models, and support the integration of these models into automation workflows.
• Process Improvement Methodologies: Support the implementation of process improvement initiatives using Lean, Six Sigma, or other established frameworks.
• Standardization & Best Practices: Help develop and maintain Standard Operating Procedures (SOPs) and best practices for new and existing processes.
• Cross-Functional Collaboration: Participate in cross-functional workshops to gather requirements, understand pain points, and collaborate with various business units and Subject Matter Experts.
• Digitalization Initiatives: Support broader automation or digitalization initiatives where applicable, assisting in the implementation of new tools and systems.
• Change Management: Assist in change management by communicating process updates and providing training to stakeholders to ensure a smooth transition and user adoption.
• Technical Support: Leverage programming skills (Python, R, SQL, etc.) to analyze data, automate repetitive tasks, and provide technical support where needed.

Required Qualifications:

• Bachelor’s degree in Business, Mathematics, Statistics, Engineering, or a related field.
• Strong analytical and problem-solving skills, with a data-driven mindset.
• Proficiency in MS Excel, PowerPoint, and familiarity with data visualization tools (e.g., Power BI).
• Experience or strong understanding of process improvement frameworks and methodologies (Lean, Six Sigma) is preferred.
• Exposure to programming skills (e.g., Python, SQL) and an understanding of their application in data analysis and automation.
• Good communication and collaboration skills, with the ability to work effectively with both technical and non-technical teams.
• Detail-oriented with the ability to manage multiple tasks simultaneously.
• Familiarity with AI, machine learning, and automation concepts is highly desirable.