Business Analyst, Data Science

 Responsibilities: 

 

• Relevant years of professional experience in implementing Analytics for business support. Must have experience with classification, regression and time series forecasting using ensemble methods with clear understanding. Well versed with data exploration and statistical inference from data. 

• Having hands on years experience building front end application using Streamlit/Gradio/Flask/Fast for Generative AI input and output display. 

• Using Generative AI to work on tasks like text generation, sentiment analysis, chatbots and language translation using RAG and agent-based models. 

• Analyze data and Generating insights using generative AI techniques for predictive modelling and data generation. 

• Building chatbot using different scalable data source for generating charts and statement. 

• Proficiency in programming language Python, SQL. 

• Responsible for weekly release of upgrades and new features to enhance current algorithm. 

 

Qualifications we seek in you! 

Minimum Qualifications 

 

• Masters or bachelor’s in engineering - BE/B- Tech, BCA, MCA, BSc/MSc 

• Master’s in science or related  

 

Preferred Qualifications/ Skills 

• R / Python and SQL certification 

Why join Genpact?  

• Lead AI-first transformation – Build and scale AI solutions that redefine industries  

• Make an impact – Drive change for global enterprises and solve business challenges that matter  

• Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills  

• Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace  

• Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build  

• 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.

Apply Link – Click Here

For Regular Updates Join our Telegram – Click Here

Business Analytics Analyst

 The Operations Analytics team uses data analysis to improve efficiency, reduce costs, and enhance customer experience across the front and back office. They focus on optimizing contact center performance, automating processes, resolving customer issues, and supporting KYC operations. Projects include enhancing First Contact Resolution, improving complaint and sentiment analysis, streamlining card issuance and return mail processes, and optimizing capacity planning and staffing. They leverage tools like NLP and AI to reduce complaints and identify agent coaching opportunities. Their goal is to drive data-driven decision-making for operational improvements.

https://endangerunderneathcar.com/yauvs3q4d?key=be83c364f86d16b2fdeab010e9268fb2
The Business Analytics Analyst is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.

In this role, you are expected to:

• Gathers operational data from various cross functional stakeholders to examine past business performance
• Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
• Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies.
• May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis.
• Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
• Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
• Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

As a successful candidate, you’d ideally have the following skills and exposure:

• Data Analysis & Process Improvement: Expertise in statistical analysis, data mining, process mapping, and process re-engineering (Lean, Six Sigma). Proficiency in using data visualization tools (e.g., Tableau, QlikView) to identify trends and present findings.
• Automation & Programming: Experience with automation tools (e.g., SAS, PySpark) and programming languages (e.g., Python, SQL) to develop and implement automated solutions for operational processes.
• Business Acumen & Communication: Strong understanding of business operations and financial metrics. Ability to translate data insights into actionable recommendations and communicate effectively with stakeholders.
• Customer Focus & Problem-Solving: Demonstrated ability to analyze customer feedback (complaints, sentiment), identify pain points, and develop solutions to improve customer experience. Strong analytical and problem-solving skills to address operational challenges.
• Domain Expertise (Finance/Banking): Knowledge of financial services operations, regulatory requirements (e.g., KYC, AML), and industry best practices is highly beneficial.

Education:

• Bachelors/University degree or equivalent experience
  

Years of Experience:

• 0-2 years (with Masters degree)
• 2-4 year of experience (4 years Bachelors degree)

Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

https://endangerunderneathcar.com/yauvs3q4d?key=be83c364f86d16b2fdeab010e9268fb2

Apply Link – Click Here

For Regular Updates Join our Telegram – Click Here