Data Engineering

Data Engineering

Job Description

Data Engineering
Associate Data Analyst

JPMorgan Intelligent Solutions (JPMIS) is transforming JPMC data assets to create and commercialize information and solutions that enable consumers, businesses & governments to make better decisions and achieve their objectives.

Reporting to the Operations Team Manager for JPMIS Data Engineering, the Associate Data Analyst is responsible for executing the growth strategy of JPMIS by expanding key data assets (retail, wholesale, corporate) leveraging both internal firm resources as well as external data. The ideal candidate for this position is results-driven with a passion for transforming large disparate data sets into actionable information and insights. This person will be an integral part of building a best-in-class data management and governance framework leveraging Big Data technologies. The ideal candidate will possess strong data mining and analytical skills, along with exceptional relationship management skills and commitment to delivering high quality solutions.

Salary: Not Disclosed by Recruiter
Industry: Banking / Financial Services / Broking
Functional Area: IT Software – DBA , Datawarehousing
Role Category:Programming & Design
Role:Database Architect/Designer

quality assurance
financial services
data management
data mining
business intelligence
relationship management

Desired Candidate Profile
UG: B.Tech/B.E. – Computers
PG:Post Graduation Not Required
Doctorate:Any Doctorate – Any Specialization, Doctorate Not Required

Effectively partner with the Data Insights teams to drive usage and improvement of the IntelliStor data asset that drives analytics within JPMIS and for our strategic partners
Innovate new ways of managing, transforming and validating data within Hadoop and other distributed platforms
Establish and enforce guidelines to ensure consistency, quality and completeness of all JPMIS data assets
Apply quality assurance best practices to all work products Qualifications
Financial Services background or experience preferred specifically as it relates to products within the either the retail and wholesale banking space
Strong demonstrated SQL skills (minimum 2-3 years leveraging PL/ SQL, T-SQL or ANSI-SQL)
Proven proficiency with data and quantitative research techniques
Experience in data mining/ modeling techniques and procedures, and knowing when their use is appropriate is required
Proficiency across the full range of database and business intelligence tools; publishing and presenting information in an engaging way. Familiarity with BI packages such as Tableau or Spotfire is preferred
Experience utilizing and extending ETL solutions (e.g., Informatica, Talend, Pentaho, Ab Initio) in a complex, high-volume data environment is a plus
Knowledge of statistics and/ or machine learning is a plus
Demonstrated familiarity with Hadoop (e.g., Spark, Hive, HBase, Impala) is a plus
Intensive, recent experience in assessing and sourcing data needs
Detail oriented with a commitment to quality and innovation
Bachelor’s or Advanced Degree in Information Management, Computer Science, Mathematics, Statistics, or related fields desired

Company Profile:
JPMorgan Chase
J.P. Morgan is a leader in financial services, offering solutions to clients in more than 100 countries with one of the most comprehensive global product platforms available. We have been helping our clients to do business and manage their wealth for more than 200 years. Our business has been built upon our core principle of putting our clients’ interests first.

View Contact Details:
Recruiter Name:HR
Reference Id:160000539