Process Improvement Consultant

4 days ago


Mumbai, Maharashtra, India Quantanite Full time

Company Overview

At Quantanite, we are committed to revolutionizing business operations through innovative AI-driven solutions. With a team of over 2,800 professionals worldwide, we strive to create seamless experiences for our clients by harnessing the power of automation and human expertise.

Job Description

We are looking for an experienced Business Analyst to join our team. As a key member of our operations team, you will be responsible for analyzing complex business processes and identifying opportunities for improvement.

You will leverage your expertise in business process optimization and automation to streamline processes, enhance quality, and reduce costs. Your strong analytical and problem-solving skills will enable you to extract actionable insights from large datasets using machine learning algorithms.

Liaise with internal and external stakeholders to ensure desired outcomes from process changes, collaborate with business stakeholders to understand their requirements and translate them into AI solutions.

Key Responsibilities

  • Assess current processes at strategic, tactical, and operational levels
  • Identify opportunities for improvement within quality, speed, dependability, flexibility, and cost
  • Perform data analysis to identify trends, patterns, and opportunities for business improvement
  • Extract, document, and manage business requirements to help shape identified needs into a business solution

Requirements

  • Bachelor's degree
  • Overall 5 years of experience as a Business Analyst
  • Solid understanding of business process optimization and automation
  • Proficiency in programming languages such as Python
  • Experience with GenAI frameworks, tools, and technologies, including chatbots and copilot solutions
  • Proficiency in SQL for database querying and experience working with datasets
  • Excellent analytical and problem-solving skills
  • Strong communication and interpersonal skills


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