Lead Business Analyst - Data

EPAM Systems

Chennai

On-site

INR 3,500,000 - 5,500,000

Full time

37 hours ago
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Job summary

EPAM Systems in Chennai is seeking a seasoned Lead Business Analyst - Data to bridge business stakeholders and engineering teams, assess current workflows, capture data rules, and design modern, scalable processes and cloud solutions.

You will own migrations, define acceptance criteria, ensure data governance and quality, and drive transformation from concept to delivery, mentoring teams and aligning objectives with enterprise goals.

Qualifications

  • 10–15 years of hands-on BA/PM experience in software or data delivery.
  • Strong SQL and Oracle PL/SQL understanding for data rules and mappings.
  • Experience with cloud data platforms (Snowflake, Azure and/or AWS).
  • Excellent communication and stakeholder-management skills.

Responsibilities

  • Examine current enterprise business logic, legacy procedural code, and operational workflows, then rebuild them into scalable, maintainable, and efficient modern processes.
  • Partner closely with cross-functional business stakeholders to gather, assess, and record thorough business requirements, functional specifications, and data mapping rules.
  • Lead and take ownership of complete migration and modernization projects, ensuring business objectives align with technical delivery.
  • Establish acceptance criteria, confirm business logic through unit and user acceptance testing (UAT), and uphold best practices in data governance, engineering standards, and quality assurance.
  • Serve as the main connection point between business units and technical/engineering teams, convert complex technical ideas into clear business value, and oversee expectations across project timelines.
  • Operate independently to advocate for modernization efforts, spot operational inefficiencies, and suggest process enhancements to improve data workflows and decision-making.

Skills

Business Analysis
Stakeholder Management
Process Modeling
Data Governance
Cloud Strategy
Python Scripting
Leadership

Tools

Oracle PL/SQL
Snowflake
Azure
AWS
Python

Job description

We're looking for a seasoned Lead Business Analyst - Data who brings deep domain and process knowledge, with a specialty in converting outdated business logic and procedural databases into streamlined, modern business processes and scalable cloud solutions. This person will serve as the connector between business stakeholders and technical teams, examining current enterprise workflows, capturing business rules, building modern process designs, and leading digital transformation efforts from start to finish.

Responsibilities
  • Examine current enterprise business logic, legacy procedural code, and operational workflows, then rebuild them into scalable, maintainable, and efficient modern processes
  • Partner closely with cross-functional business stakeholders to gather, assess, and record thorough business requirements, functional specifications, and data mapping rules
  • Lead and take ownership of complete migration and modernization projects, ensuring business objectives align with technical delivery
  • Establish acceptance criteria, confirm business logic through unit and user acceptance testing (UAT), and uphold best practices in data governance, engineering standards, and quality assurance
  • Serve as the main connection point between business units and technical/engineering teams, convert complex technical ideas into clear business value, and oversee expectations across project timelines
  • Operate independently to advocate for modernization efforts, spot operational inefficiencies, and suggest process enhancements to improve data workflows and decision‑making
Requirements
  • 10-15 years of hands‑on experience in business analysis, business process management, or software/data solution delivery
  • Understanding of relational databases, SQL-based procedural code (Oracle PL/SQL), and modern cloud data platforms (Snowflake, Azure, and/or AWS)
  • Working knowledge of modern programming and automation principles such as Python logic, modular applications, and exception handling to collaborate effectively with engineering teams
  • Strong analytical thinking with careful attention to detail when breaking down complex business rules and data flows
  • Outstanding verbal and written communication abilities, with a track record in stakeholder management, requirements workshops, and cross‑functional leadership
  • Proven capability to work autonomously, handle changing priorities, and lead complex transformation projects from initial concept through successful delivery
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