Campus DTAI Track – Data, Tech & AI

Sr. Data Analyst

This position is only open for External Referrals

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 -

Inviting applications for the role of Management Trainee, Data, Tech & AI (Campus DTAI Track)!

In this role, you’ll work on real, customer-facing problems, helping clients unlock value from data and AI. Depending on your background and interests, you may be considered for paths spanning data analysis and reporting, statistical modeling and machine learning, or data and ML engineering.

Responsibilities

• Analyze business problems and translate them into scalable, data-driven solutions
• Design and build automated reports, dashboards, and analytics solutions using tools like Power BI or Tableau
• Develop and validate statistical or machine learning models to support business outcomes
• Build and maintain data pipelines across multiple data sources and cloud platforms
• Perform data extraction, cleansing, transformation, and modeling
• Collaborate with cross-functional teams to gather requirements and align on solution design
• Support proof-of-concept development for AI/ML use cases
• Present findings and recommendations to both technical and non-technical stakeholders

Qualifications we seek in you!

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related field
• Proficiency in at least one programming language (Python, Java, R, or similar)
• Strong understanding of SQL and relational database concepts
• Strong analytical thinking and problem-solving skills
• Excellent communication and collaboration skills

Preferred Qualifications/Skills

• Familiarity with cloud platforms (Azure, AWS, or GCP)
• Exposure to AI/ML concepts, automation frameworks, or data engineering principles
• Experience with visualization tools such as Power BI or Tableau
• Coursework or project experience involving machine learning, deep learning, or data pipelines

The approximate annual base compensation range for this position is [$50,000 to $62,500]. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity

Work-from-Anywhere Roles – “Los Angeles California-based candidates are not eligible for this role”

Location-based Roles (e.g., Richardson roles – metro area can be adjusted by role location) – “Los Angeles, California based candidates are not eligible for this role. <Dallas Metro> area candidates are eligible for this role only.”

Qualifications -

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science

Certifications -

Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, IBM Certified Solution Developer - WebSphere IIS DataStage Enterprise Edition v7.5 - IBMIBM, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle

**Required S…