MDM Analyst Salary at Genpact BETA

How much does a Genpact MDM Analyst make?

As of April 2025, the average annual salary for a MDM Analyst at Genpact is $111,916, which translates to approximately $54 per hour. Salaries for MDM Analyst at Genpact typically range from $99,114 to $125,625, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

Website:
genpact.com
Size:
>50,000 Employees
Revenue:
$3B - $5B
Industry:
Transportation

Genpact Limited provides business process outsourcing and information technology (IT) management services worldwide. The company offers finance and accounting services, including accounts payable comprising document management, invoice processing, approval, resolution management, and T&E processing; order to cash services, such as customer master data management, credit and contract management, fulfillment, billing, collections, and dispute management services; record to report services consisting of accounting, closing and reporting, treasury, tax, and product cost accounting services; enterprise performance management, including budgeting, forecasting, business performance reporting, and analytics; and enterprise risk and compliance services comprising SOX advisory, enterprise risk management, internal audit, FCPA, and IT risk management services. It also provides analytics and research services; core industry operation services; business and enterprise risk consulting services; transformation services; and supply chain and procurement services, including direct and indirect strategic sourcing, category management, spend analytics, procurement operations, master data management, and other procurement and supply chain advisory services. In addition, the company offers enterprise application services comprising business intelligence and data services, enterprise resource planning, quality assurance, and technology integration; IT infrastructure management services, including end user computing, infrastructure management, application production support, and database management services; and collections and customer services in the areas of consumer banking, business-to-business finance, and mortgage servicing. It serves banking and financial services, capital markets, consumer product goods, healthcare, high tech, infrastructure, manufacturing and services, insurance, and life sciences industries. Genpact Limited was founded in 1997 and is based in Hamilton,...

See similar companies related to Genpact

What Skills Does a person Need at Genpact?

At Genpact, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. Data Management: Data Management comprises all disciplines related to managing data as a valuable resource. The concept of data management arose in the 1980s as technology moved from sequential processing (first cards, then tape) to random access storage. Since it was now possible to store a discreet fact and quickly access it using random access disk technology, those suggesting that data management was more important than business process management used arguments such as "a customer's home address is stored in 75 (or some other large number) places in our computer systems." However, during this period, random access processing was not competitively fast, so those suggesting "process management" was more important than "data management" used batch processing time as their primary argument. As software applications evolved into real-time, interactive usage, it became obvious that both management processes were important. If the data was not well defined, the data would be mis-used in applications. If the process wasn't well defined, it was impossible to meet user needs.
  2. Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
  3. Data Quality: Data quality refers to the condition of a set of values of qualitative or quantitative variables. There are many definitions of data quality but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning". Alternatively, data is deemed of high quality if it correctly represents the real-world construct to which it refers. Furthermore, apart from these definitions, as data volume increases, the question of internal data consistency becomes significant, regardless of fitness for use for any particular external purpose. People's views on data quality can often be in disagreement, even when discussing the same set of data used for the same purpose. Data cleansing may be required in order to ensure data quality.
  4. Data Governance: Data governance is a data management concept concerning the capability that enables an organization to ensure that high data quality exists throughout the complete lifecycle of the data. The key focus areas of data governance include availability, usability, consistency, data integrity and data security and includes establishing processes to ensure effective data management throughout the enterprise such as accountability for the adverse effects of poor data quality and ensuring that the data which an enterprise has can be used by the entire organization. A data steward is a role that ensures that data governance processes are followed, guidelines enforced, and recommends improvements to data governance processes.
  5. Problem Solving: Analyzing and identifying the root cause of problems and applying critical thinking skills to solve problems.

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Check more jobs information at Genpact

Job Title Average Genpact Salary Hourly Rate
2 Team Member $34,725 $17
3 Technical Lead $220,752 $106
4 Technical Lead and Consultant $138,274 $66
5 Technical Service Specialist $95,265 $46
6 Technical Support Help Desk $81,174 $39
7 Technical Support Lead $187,855 $90
8 Technical Support Representative $53,886 $26
9 Technician $121,316 $58
10 Technology Specialist $93,955 $45
11 Telephone Operator $53,822 $26
12 Testing Engineer $104,133 $50
13 Tower Lead $213,732 $103

Hourly Pay at Genpact

The average hourly pay at Genpact for a MDM Analyst is $54 per hour. The location, department, and job description all have an impact on the typical compensation for Genpact positions. The pay range and total remuneration for the job title are shown in the table below. Genpact may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $111,916 look to you?

FAQ about Salary and Jobs at Genpact

1. How much does Genpact pay per hour?
The average hourly pay is $54. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Genpact?
According to the data, the highest approximate salary is about $125,625 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Genpact?
According to the data, the lowest estimated salary is about $99,114 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.