Campus DTAI Track – Data, Tech & AI
Genpact · Remote · Newark
Job description
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 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 {+ 11 more}
Language
Language Proficiency -
Additional Job Location -
Job Type
Regular
Master Skill List -
Data Engineering
Remote Type -
Work Shift -
The approximate annual base compensation range for this position is:
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.
Why join Genpact?
- Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
- Make an impact – Help global enterprises solve business challenges that matter
- Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
- Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
- Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
Let’s build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
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. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
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