People Analytics 7 to 9 Years Mumbai

1 week ago


Mumbai, Maharashtra, India Capgemini Full time
The People Analytics Data Specialist is responsible for managing end-to-end People Analytics and Data.

  • This person is responsible for PA projects and their implementation, data flow, data quality, processes, and business rules.
  • Responsible for daily data steward activities
  • Perform ad hoc customer and product master data requests
  • Participate in MDM UAT testing
  • Responsible for defining Standard Operating Procedures (SOPs) and Work Instructions (WIs)
  • Responsible for ensuring the accuracy and completeness of customer and product master data
  • Responsible for understanding the endtoend processes for maintaining customer master and product data across business areas
  • Responsible for customer and product data harmonization across multiple sources
  • Work closely with the governance team and adhere to principles and process standards
  • Work with IT to coordinate and define business user impacts of data changes including resolving issues and planning for enhancements and upgrades
  • Assist in the definition of data sourcing and services strategies including the evaluation of thirdparty data providers and services under the direction of the MDM/Data Governance Manager
  • Education and Experience Requirements
  • Bachelor's degree in the field of computer science, information technology, engineering or business administration, Management Information Systems, Finance, Sciences or related area or equivalent experience

Primary Skills

  • 4+ years of work experience on ML Model Building and data related activities such as SQL, Snowflake, Informatica, MDM/IDD, Data integration, Data Inventory, Data flow, Data Model, Data Structuring, Data Analysis, Data Mining, Data Discrepancies, Data Query, Data Anomalies.
  • Establishes good working relationships with Stakeholders, Project Leads, SMEs and supporting the governance structure to ensure PA project deliverables and data related activities.
  • Business acumen

Secondary Skills

  • Standard MS Office skill set including Excel, Visio, Power Point and Access
  • Experience with data structures, relations, and processes
  • Strong background in technology and good numerical analytical ability


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