Analyst - Data Engineering 5A

Genpact LLC

Phoenix (AZ)

Hybrid

USD 45,000 - 57,000

Full time

8 days ago
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Job summary

Genpact LLC invites applications for an Analyst - Data Engineering role. The position emphasizes leading development and delivery of data-centric projects, partnering with engineering and analytics teams, and presenting findings to stakeholders.

The role involves building data pipelines, AI/ML prototypes, and automation solutions in a fast-moving, innovation-driven environment. Ideal candidates have strong academic credentials in analytics, CS, statistics, or data science, plus relevant data

Qualifications

  • Bachelor’s degrees in analytics, CS, or statistics and a Master’s in data science or related field.
  • Industry-recognized data management and cloud data engineering certifications are preferred.
  • Roles require understanding of data pipelines, AI/ML prototyping, and analytics.

Responsibilities

  • Lead development and execution of DTAI initiatives and data engineering deliverables.
  • Deliver data-driven insights, automation solutions, and system enhancements.
  • Manage data projects with defined milestones and collaborate with engineering and analytics teams.
  • Own documentation, code repositories, dashboards, and technical presentations.
  • Support development of data pipelines, AI/ML prototypes, and digital solutions.
  • Present technical findings to business and tech stakeholders.

Skills

Data Engineering

Education

Bachelor's—Business Analytics
Bachelor's—Computer Science
Bachelor's—Statistics
Masters—Data Science

Tools

Certified Data Management Professional
Cloudera CCP Data Scientist
Databricks Spark 3.0
Microsoft Azure Data Engineer
Oracle 12c Certified

Job description

Analyst - Data Engineering Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description Responsibilities
  • Lead development, analysis, and execution of technical project deliverables aligned to DTAI initiatives
  • Deliver data-driven insights, automation solutions, models, or system enhancements
  • Manage assigned technical workstreams with defined milestones and measurable outcomes
  • Work collaboratively with engineering, analytics, and consulting teams
  • Own documentation, code repositories, dashboards, or technical presentations
  • Support development of data pipelines, analytical models, AI/ML prototypes, or digital solutions (project dependent)
  • Participate in structured learning sessions focused on emerging technology and AI trends
  • Present technical findings and recommendations to business and technology stakeholders
Qualifications
  • Bachelors - Business Analytics
  • Bachelors - Computer Science
  • Bachelors - Statistics
  • Masters - Data Science
  • Certifications Certified Data Management Professional - RiversandRiversand, Cloudera Certified Professional (CCP) Data Scientist - UpgradUpgrad, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle
Required Skills
  • Accounts Payable Process, Accounts Payable Process, Accounts Receivable (AR), Aerospace Manufacturing, Agile Methodology, Automotive Manufacturing, Banking Capital Markets, Claims Management, Client Relations, Collaboration Tools, Commercial Excellence, Consumer Electronics, Consumer Packaged Goods (CPG), Design Thinking, Digital Business Strategy, Electronic Hardware, Entertainment Journalism, Executive Presence, Healthcare Payors, Inclusion, Industrial Manufacturing Processes, Insurance, Intelligent Automation (IA), Internet Businesses, Life Science {+ 10 more}
Master Skill List
  • Data Engineering Remote Type - Hybrid Work Shift - Any (United States of America)

Additional Job Location - Job Type Intern (Fixed Term) (Trainee)

Job End Date 2026-12-04

The approximate annual base compensation range for this position is: 45,000 to 56,500 USD

Los Angeles California-based candidates are not eligible for this role

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way.

We’re an agentic and advanced technology solutions company that runs mission-critical operations for the world’s leading companies, while building and deploying the agentic products and technology that power those operations. At Genpact, you’ll start your career inside the work — with real data, real challenges, and the experiences that shape what you’re capable of. Be on it because you’ll be in it. At Genpact, your expertise grows because you’re inside the work. Whether you build AI systems or bring deep knowledge of how businesses run, you’ll work on real challenges that change how the world’s leading companies operate. There’s a lot to learn here, and room to grow.

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