Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Role- Principal Consultant-II

Tech Stack: Snowflake + Python (pandas, numpy, matplotlib, etc)+ Power BI

Min Exp: 7 years

RTO: 3 days (hybrid)

You will be responsible for:

• Collaborating with cross-functional teams to understand business requirements and translate them into data analysis solutions

• Analyzing complex datasets using SQL, Python and visualization tools to extract meaningful insights and support decision-making

• Creating and maintaining dashboards and reports using tools like Power BI to communicate findings effectively

• Working with data from various sources and ensuring data quality and consistency

• Identifying trends, patterns, and opportunities in data to drive business value

• Supporting the data engineering team by validating data pipeline outputs and providing feedback

• Working in an agile environment, participating in sprint planning, daily stand-ups, and retrospectives

• Documenting analysis methodologies, findings, and recommendations

• Helping stakeholders interpret data and make data-driven decisions

• Performing ad-hoc analysis to answer business questions and support initiatives

You have:

• Proficiency in SQL for data querying and manipulation

• Experience with Python for data analysis and visualization (pandas, numpy, matplotlib, etc.)

• Experience working with cloud-based data warehousing solutions like Snowflake

• Ability to create insightful data visualizations and reports using tools like Power BI

• Strong analytical skills and attention to detail

• Excellent communication skills to translate technical findings to non-technical stakeholders

• Problem-solving mindset and curiosity to explore data

• Experience with version control tools (e.g., Git)

• Understanding of basic statistical concepts

• Familiarity with agile methodologies and the ability to work collaboratively in a fast-paced environment

You might also have:

• Experience working with DataBricks or similar platforms

• Understanding of ETL processes and data pipelines

• Knowledge of data modeling concepts and practices

• Experience with advanced statistical analysis or machine learning techniques

Domain knowledge in finance, or other relevant business areas