Data Analyst
Capgemini
Pune
9h ago
source : Shine

Role : Data Analyst

Experience : 6-8 Years

Job Description :

  • Duties Responsibilities Perform data analysis and profiling using standard toolsets such as Informatica IDQ or Global ID as well as manual analysis methods to interpret trends or patterns identify relationships understand anomalies assess data quality and add context to requirements Perform data mapping and gap analysis
  • Document Data Requirements Specifications based on interpretation of Business Requirements discussions with stakeholders and overall knowledge of the data
  • Create and maintain Data Feed Specifications which capture the layout and metadata of all incoming and outgoing data feeds
  • Maintain in depth knowledge of data across all domains and entities
  • Provide clarity for business terminology and relationships to data structures
  • Provide support for metadata initiatives including but not limited to Business
  • Glossary updates Data Dictionaries for physical table structures Data Feed Specifications for incoming and outgoing file deliveries Data Models Conceptual Logical and Physical Data Lineage within metadata repository Focus on continuous improvement of data lifecycle processes procedures standards and usages Other Job Duties
  • Mentor and provide leadership to more junior members of the team Maintain relationships with interface partners and vendors to assess or communicate impacts specific to upstream or downstream data changes Create data models at the conceptual and logical level depending on experience
  • Skill Experience General information required 7 9 years experience as a Data Analyst Systems Analyst or Developer role in a Data Management organization
  • Strong analytical skills with the ability to collect organize analyze and disseminate significant amounts of information with attention to detail and accuracy
  • Strong knowledge of SQL or other query languages Experience working with big data cloud solutions relational DBMS like DB2 Oracle SQL Server Sybase DB2
  • Familiar with data modelling practices and standards across conceptual logical and physical levels
  • Familiar with database design and development methodologies
  • Familiar with Data Definition Language DDL and Data Manipulation Language DML SQL commands
  • Experience maintaining metadata for complex data environments and ensuring data integrity
  • Highly organized with strong communication problem solving documentation and presentation skills Proven ability to be proactive possess flexible attitude learn new skills and manage ambiguity Experience in financial services Additional Requirements
  • Experienced in both waterfall and agile project methodologies Ability to work independently in a fast paced environmen
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