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2 Days ago

Lead Business Analyst – Logistics & Pharma

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Hyderabad, Telangana, India
Information Technology
Other
EPAM Systems, Inc.

Overview

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a high-caliber Lead Business Analyst with a balanced skillset in logistics management, business analysis, and an understanding of data engineering and machine learning.

As a key player, you will act as a bridge between business stakeholders and technical teams, driving impactful solutions in the logistics and pharma domain. This role requires strong stakeholder management, a deep understanding of business challenges, and the ability to steer discussions towards actionable outcomes.

Responsibilities

  • Act as a liaison between business stakeholders and technical teams, ensuring clear communication and alignment
  • Collaborate with Product Owners and Business Owners to gather, analyze, and document business requirements
  • Provide functional expertise in Logistics Management Systems (LMS) with a focus on general LMS operations, excluding R&D aspects
  • Support the design and proposal of solutions leveraging knowledge of data engineering and machine learning concepts
  • Drive discussions on complex topics and present outcomes to key stakeholders in a clear manner
  • Ensure that proposed solutions align with both business goals and technical feasibility
  • Guide technical teams by translating business needs into functional requirements without delving into minute technical details
  • Communicate effectively with cross-functional teams operating in European working hours
  • Offer strategic insights to enhance process improvements and innovation in logistics and pharma operations
  • Adapt to evolving project needs and contribute within the scope of a potential future Product Owner role

Requirements

  • 7-12 years of experience in business analysis, logistics management, or related domains
  • Background in logistics management systems (LMS) and familiarity with the pharma domain
  • Knowledge of data engineering, machine learning, and their applications to business challenges
  • Expertise in stakeholder management, communication, and driving consensus among cross-functional teams
  • Capability to create business proposals based on technical and functional understanding
  • Solid understanding of European business environments and working hours
  • Skills in analyzing and addressing functional challenges in logistics operations

Nice to have

  • Familiarity with the interaction between data and LMS platforms
  • Understanding of emerging trends in machine learning applications in the logistics and pharma sectors
  • Exposure to leading business transformation initiatives in comparable industries
  • Flexibility to use technical concepts in ML and data engineering for functional business improvements

We offer

  • Opportunity to work on technical challenges that may impact across geographies
  • Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
  • Opportunity to share your ideas on international platforms
  • Sponsored Tech Talks & Hackathons
  • Unlimited access to LinkedIn learning solutions
  • Possibility to relocate to any EPAM office for short and long-term projects
  • Focused individual development
  • Benefit package:
    • Health benefits
    • Retirement benefits
    • Paid time off
    • Flexible benefits
  • Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
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