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JPMorgan Data Management Associate 
India, Karnataka, Bengaluru 
109445097

07.09.2024

The Workforce Activity Data Utility (‘WADU’) is part of the Chief Administration Office’s Strategic Initiatives organization (‘CSI’). CSI includes a portfolio of cross-LOB initiatives supporting the Global Operations agenda of the Firm.WADU is at the forefront of data driven decision making and is focused on building out a new firm-wide capability that unlocks the potential of our Workforce Activity data to enhance our strategic and investment decisions.It is used firm-wide for numerous different use cases.


Job Summary

As an Associate in Workforce Data Quality team you will be responsible for the end to end data journey, from sourcing of new data feeds, ingestion of those feeds, building data quality rules for data quality assurance and constantly coming up with creative solutions to streamline and improve at every step.

Job responsibilities

  • Understand that good data is foundational
  • Evaluate current user cases, conduct gap analysis and identify opportunities for building data quality rules covering critical data elements for multiple data products.
  • Manage the innovation life cycle of the Palmos Data Quality Utility from ideation & prototyping to the translation of requirements to our technology team.
  • Partners with our client engagement teams to ensure our end users are getting the maximum value out of our analytics and insights.
  • Buildstrong relationship with stakeholders and own the responsibility to build and run data quality engine
  • Code and build data quality rules in DQ tool implemented on Palmos
  • Ensure effective communication to data providers and consumers in case of data issues

Required qualifications, capabilities, and skills

  • Self-starter with ability to manage own workload and deliverables.
  • Minimum 10 years in a Data related role, or in a Change/Transformation role or as a technology Business Analyst working with a technology team.
  • A passion for data, data skills, BIG Data and data tools.
  • Expertise in working with data to query, be curious with data and have a sensible regard around data accuracy. Data interrogation and Quality checking.
  • Experience around data tools like SQL, Python, Alteryx, Excel, Tableau, Qlikview, RDS.
  • Strong entrepreneurial spirit and ability to structure and scope complex problems; team-oriented nature with clear ownership mentality.
  • Strong problem-solving aptitude, very strong analytical skills and idea generation, with the ability to go from conceptualization to execution.

Preferred qualifications, capabilities, and skills

  • Strong inter-personal skills with ability to forge strong relationships with key stakeholders including technology partners.
  • Excellent oral and written executive-level communication and presentation skills.
  • Effective organizational and project management skills.
  • Ability to communicate clearly and confidently across multiple aspects of the organization at all levels; confidence in communicating with management.