Company: Genpact
Role: Business Analyst - Data Analyst
Location: Gurugram
Salary: 7.2 LPA to 8.5 LPA
Qualifications: Any Graduation/ Post Graduate
About Organization:
Genpact is a global professional services firm that specializes in business process management and digital transformation. Founded in 1997 as a subsidiary of General Electric, it has since evolved into an independent company headquartered in New York City. Genpact offers a wide range of services, including finance and accounting, customer experience management, supply chain management, and analytics. With a global presence and a focus on technology-driven solutions, Genpact helps businesses streamline operations, improve efficiency, and adapt to the rapidly changing digital landscape, making it a key player in the outsourcing and consulting industry.
Job Description:
· Responsible for data extraction, collation and cleaning in MS Excel/ access
· Will be responsible for keeping the pricing data in ERP up to date. For this, he/ she will have to identify the activities to be carried out and then execute those activities
· Will be responsible for carrying out ad hoc pricing analytics requests
· Will be responsible for carrying out various statistical and pricing analyses in excel/Access.
· Will be responsible for bringing process efficiencies through digitization and implementation of relevant machine-learning algorithms
· Expected to support the client on data systems and analysis
· Use statistical tools to sanitize, segment and normalize historical pricing information and master invoice data sets to provide visibility to price rate distribution
Minimum Qualifications:
· Master’s degree in research, statistics, math, economics, or related analytical discipline
· Fresher from a good institute or university or good relevant work experience in the data analytics domain
· Curiosity is a must.
Preferred Qualifications
· Proficiency with analytical and presentation tools (Excel, VBA, PowerPoint)
· Highly analytical: natural aptitude for gathering, analyzing and leveraging large data sets to make key business decisions
· Should be good with basic statistics
· Should have a can-do mindset
· Knowledge of R, Python, Tableau, and Power BI is good to have
0 Comments