Position Name : Data Analyst Responsibilities Provide guidance and deliver solutions to organization to enable them building all required data capabilities in organization covering data management, data governance, data catalog, data architecture etc.
Adapts existing methods and procedures to create possible alternative solutions to moderately complex problems. Support in defining the overall business and IT capabilities w.
Develop standards, best practices, and reference designs for the implementation of Data Management solutions. Work with executives and other business leaders to identify opportunities for improvement w.
r.t Data Collaborate with team members to collect and analyze data Establish Data KPIs to measure the effectiveness of business decisions Structure large data sets to find usable information Work with a team of analysts and other associates to process information Create presentations and reports based on recommendations and findings Qualification Relevant Experience Required 8 to 10 yrs.
Total IT Experience Minimum 8 to 10 yrs. Data Management solutions with capabilities, such as Data Ingestion, Data Curation, Metadata and Catalog, Data Security, Data Modeling, Data Wrangling 8+ years direct experience in analyzing and deriving data governance, metadata management, data architecture, data quality and metadata related output Strong experience in different type of Data Analysis covering business data, metadata, master data, analytical data.
compensation insurance system : asset-building savings and defined contribution pension and cafeteria plan (choice corporate members welfare services) Company Description The group is a global enterprise headquartered in India.
The name has been respected in India for 150 years for its adherence to strong values and business ethics. The companies of the group employ the best and finest, strengthened by a culture of ethics and integrity.
Today we stand strong at 702,454 employees.. Skillset Required : Japanese2, English2, Data Analyst, Data Ingestion, Data Curation, Data Security, Data Modeling, Data Wrangling