JP Morgan - Data Domain Architect Associate I – Analytics Systems
JP Morgan Services India Pvt. Ltd.
6d ago


  • Partnering with onshore leaders to drive projects assigned to the team
  • Contribute to data mining architectures, modeling standards, reporting, and data analysis methodologies
  • Exhibit thought leadership and demonstrate analytical thinking to drive insights from data
  • Perform in depth analysis to resolve a business problem by employing the appropriate tools available in the enterprise
  • Identify new opportunities to bring new process improvements
  • Communicate data findings through engaging stories that are easy to understand
  • Quickly assesses the big picture in complex situations and identify what is critical
  • Routinely make decisions for best course of action and to drive business solutions
  • Support internal and external processes and workflows, suggest improvements based on data analysis and provide insights into the enterprise operations
  • Work with business domain experts to identify data relevant for analysis
  • Provide and apply quality assurance best practices for data mining / analysis services
  • Develop new analytical methods and / or tools as required
  • Adhere to change control and testing processes for modifications to analytical models
  • Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data mining results with existing systems
  • Extract reports / data, analyze and provide recommendations for the project undertaken
  • Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements
  • Technical Skills

  • Hands on experience delivering descriptive statistics, inference, and visualizations to communicate with partners and stakeholders
  • Familiarity with basic data table operations (SQL, etc.)
  • Excellent analytical skills with a track record in defining customer strategies through the use of data
  • Experience with SQL, Alteryx, Python, Spark, SparkML, Teradata / Oracle, PySpark, SAS
  • Experience with Tableau or Qlik is good to have
  • Demonstrated proficiency with Microsoft Office (Excel, PowerPoint)
  • Educational Background Bachelor's Degree with 6+ years or Master's+ with 4+ years of experience operating as analytics professional (e.

    g. : data scientist, statistician, or related professions) in a quantitative field : Computer Science, Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, Information Science, and related disciplines.

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