Business Analyst

Job Description

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.

Inviting applications for the role of Business Analyst, Data Management
The Data Analyst - Data Management is responsible for creating, refining, and optimizing data sets and metrics for BI reporting, data science, and self-serve analytics using data available on Google Cloud. Where required data is unavailable, the role collaborates with technology teams to onboard new data sources, ensuring alignment with enterprise data strategies.
This role plays a crucial part in ensuring that data models adhere to best practices and comply with technology guardrails, maintaining the safe and efficient use of Google Cloud Platform (GCP). Strong expertise in data modeling, SQL, and cloud-based data analysis is essential. Prior experience in banking and People Analytics is an advantage

Responsibilities
Data Preparation & Optimization
.Develop and maintain scalable, well-structured, and optimized data sets for reporting and analytics.
.Enhance existing data models and metrics to improve accuracy, efficiency, and usability for BI tools like Power BI, Tableau and Qlik.
.Work closely with Data Scientists to ensure data structures support advanced analytics use cases.
.Proactively refine and streamline data pipelines to reduce processing time and costs.
Data Sourcing & Integration
.Identify data gaps and collaborate with technology teams to onboard additional data onto GCP.
.Ensure all newly ingested data is well-documented, governed, and optimized for analytical use.
.Work closely with business stakeholders to understand data needs and align technical solutions accordingly.
Governance & Compliance
.Ensure adherence to technology guardrails and enterprise data policies for the safe use of GCP.
.Maintain high data integrity and security standards, ensuring compliance with banking and regulatory requirements.
.Implement best practices for data lineage, metadata management, and access controls.
Collaboration & Stakeholder Engagement
.Work closely with BI developers, Data Scientists, and Product Owners to support evolving data requirements.
.Partner with Technology and Data Governance teams to ensure alignment with enterprise data strategy.
Act as a subject matter expert for data modeling, cloud analytics, and best practices in People Analytics
Qualifications we seek in you
Minimum Qualifications / Skills
.Google Cloud Certified - Data Analyst or equivalent cloud certification (definite advantage).
.Relevant years of experience in data analysis, BI reporting, or data engineering.
.Prior experience in banking and/or People Analytics is a strong advantage.
.Experience working with large-scale enterprise data platforms and cloud environments.

Preferred Qualifications/ Skills
Technical Expertise
.Expert knowledge of data modeling concepts, SQL, and data warehousing principles.
.Hands-on experience with Google Cloud Platform (BigQuery, Dataform, Cloud Storage, etc.).
.Strong understanding of BI tools (Tableau, Qlik) and data science workflows.
.Knowledge of ETL/ELT processes and data pipeline optimization.
Business & Analytical Skills
.Ability to translate business needs into structured data solutions.
.Strong data storytelling skills, ensuring insights are clear and actionable.
.Experience working in banking and People Analytics is highly advantageous.

Governance & Compliance
.Understanding data governance, security, and compliance requirements in banking.
.Familiarity with data cataloging, lineage, and metadata management practices.
.Experience ensuring technology guardrails are adhered to in cloud environments.

Why join Genpact
.Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation
.Make an impact - Drive change for global enterprises and solve business challenges that matter
.Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities
.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 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 %27starter kit,%27 paying to apply, or purchasing equipment or training.