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Want to Become a Data Manager? Here is All You Need to Know!

Data Manager

Roles and responsibilities: The data manager analyzes the data needs of the business or a company. Data manager needs to research and evaluate sources to determine any kinds of limitations. He/She should be capable of applying sampling techniques to effectively comparing and analyzing the data. The data manager also needs to prepare detailed reports for management and other purposes. His tasks also include training the assistant, designing computer codes using various languages, referring to previous instances and findings to come up with an ideal method of gathering data and results. The manager also defines and utilizes statistical methods to solve problems such as economics and engineering. 

Average salary (pPer annum): US$64891


  • Bachelor’s degree in mathematics, statistics, computer science, and or any related field. 
  • Strong command over math and analytical skills
  • Ability to complete milestones and work at the right time
  • A multitasker for effectively managing customer service and interpersonal relationships
  • Able to organize and analyze statistical information and findings.


Top 3 Online Courses: 

Knowledge Management and Big Data in Business (edX): The course is provided by edX along with The Hong Kong Polytechnic University. This is to understand the role of knowledge management practitioners in creating business value. It teaches how to analyze large quantities of data and information through analytics and how to manage it. It makes the learner understand how the use of cloud services to drive new values and business models. 

Enterprise Data Management (edX): The course teaches how to design relational databases that can be used to manage operational systems, how to query relational databases using a structured query language (SQL), how to design data warehouse and intelligence system, and understand the principles of data profiling, data integration, and master data management. 

Master Data Management (udemy):  The course equips the learner with an overview of enterprise and master data. This helps in understanding master data management. Also busts the myths and realities about MDM by building blocks and components layer models of MDM. The course has 9 sessions for a better understanding of data management and its components. 


Top 3 educationalinstitutionsInstitutes Offering the Program with degree: 

  • Bachelor’s in Computer Science along with Data Science and Economics: Massachusetts Institute of Technology.   
  • Bachelor’s in Data Science: ESSEC and CentraleSupelec.   
  • Bachelor’s and MastersMaster’s in Data Science: IE Spain


Top 5 Recruiters for This Job:

Deloitte: Deloitte is a leading provider of audit and assurance, consultancy, financial advisory, and tax services. and etc. This information is stored in the form of data and so data engineers are needed for the company for maintaining the organization’s whole data ecosystem, this includes data sources and databases to data storage solutions. 

Capgemini: Capgemini is a consulting, technology services, and digital transformation company with data used for defining the end of the database, and then formulate the organizational data strategy, including standards of data quality, the flow of data within the organization, and security of the data.  

Fractal Analytics: The company has emerged as one of the top analytics services providers in the country.  The company has a global footprint boasting of several Fortune 500 companies from industries like retail, insurance, and technology. It has many branches in all parts of India hiring new positions. 

Amazon: Amazon is one of the biggest e-commerce companies around the world and is also among the top data recruiters worldwide. Amazon is a giant of data and to comprehend the intensity of data it requires data engineers for its core operations from marketing streamlining, logistics, and inventory management to sales expectation and even HR analytics.

Bank of America: It is an American American multinational bank that relies on huge amounts of data architects for building complex computer database systems that are accessible, useful, and secure the processes of the bank and its data by data by understanding the business need and exploring the existing data structure.

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