Data Engineer Associate, Corporate & Investment Bank Marketing Analytics Data Engineer Associate, Corporate & Investment  …

J.P.Morgan
in New York, NY, United States
Permanent, Full time
Be the first to apply
Competitive
J.P.Morgan
in New York, NY, United States
Permanent, Full time
Be the first to apply
Competitive
Data Engineer Associate, Corporate & Investment Bank Marketing Analytics
J.P. Morgan's Corporate & Investment Bank (CIB) is aglobal leader across Banking, Markets & Investor Services. The CIB providesstrategic advice, raises capital, manages risk and extends liquidity in marketsaround the world.

RoleSummary:
This isa key role within CIB Marketing and Communications that will look at bringingtogether disparate datasets related to marketing activities across the CIB.This is an opportunity to bring your data aggregation expertise and combine itwith all aspects of a rapidly evolving B2B Marketing Analytics landscape. Toachieve this, the incumbent will work closely with Client Marketing, SocialMedia, Communications and Technology. You'll be a key member of the Analyticsteam and will support Marketing and Communications campaigns to improveperformance globally.
Main responsibilities:
  • Coordinate with technology team todesign and build data warehouse, business intelligence and analytics platform
  • Aggregate data from our multiplesources such as social media sites, email, and website
  • Build and deliver high quality dataarchitecture to support business analyst and reporting needs
  • Extract Transform Load (ETL) experienceusing Spark, Kafka, Hadoop, or similar technologies
  • Analyze and data mine multiple sets ofdata in different formats from multiple internal and external sources
  • Use available data streams to help Salesand Marketing optimize conversion costs.
  • Improve on ongoing reporting and analysis processes,automating or simplifying self-service support
  • Partner with Marketing and Social teamsto solve problems and identify trends and opportunities


Qualifications:

  • 3-5 Years of data analytics experience
  • Demonstrated strength in data modeling,ETL development, and data warehousing
  • Exposure in Data Architecture projectsand building internal databases
  • Hadoop, Hive, Spark, or other big dataquery and transformation experience preferred
  • Knowledge of data managementfundamentals and data storage principles preferred
  • Facility extracting, mapping andscripting data from various in-house and 3rd party tools
  • Data visualization experience a plus
  • Ability to communicate technicalconcepts to a business-focused audience
  • SQL expertise, data modeling, andrelational database experience required
  • Experience in Alteryx a plus
  • Demonstratedability to work in a team and independently
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