Data Modelers Job at Cloud Analytics Technologies LLC, New Jersey

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  • Cloud Analytics Technologies LLC
  • New Jersey

Job Description

JD: Banking/Financial  Data Modeler (with Retail banking experience), 12+ years of experience

  • Data modeler is responsible for designing and implementing  data models that define the structure, organization, and relationship within the  data systems. Essential skills required:
  • Banking, Financial industry knowledge and expertise
  • Data Modelling and expertise
  • Consumer and Investment Banking  data modelling
  • Banking ontologies and taxonomies
  • Mapping of technical  data models to ontologies and come up with business domain  data models for creating banking  data products.
  • Strong analytical problem-solving skills and attention to details for formulating effective  data models
  • Relevant experience in designing and implementing  data models and analytical solutions using dimensional and relational models
  • Design and implement end-to-end  data models starting from raw  data to the semantic layer that makes our  data more accessible and understandable for different persona ranging from finance users,  data analysts and automation
  • Understanding business processes and ability to align  data models with organization goals. Strong analytical skills to assess  data requirements and translate them into effective  data models
  • Familiarity with  data modelling tools such as Erwin, Hackolade and familiarity with various RDBMS and NoSQL databases
  • Data modelling experience in
  • Deposits – CD, Savings, Checking
  • Credit Cards – rewards cards, hotel, travel, business, and cobranded cards
  • Debit – Debit platform
  • Payment processing – Merchant, Ecommerce, ACH, business banking
  • Wealth Management
  • Investment
  • Work on some of the most complex and highly visible  data problems in finance at the intersection of finance and technology
  • Ability to partner, prioritize, lead, negotiate, drive execution and influence
  • Laison between SMEs,  Data Architects,  Data Modelers to understand individual  data domains and ensure acceptance from all parties
  • Engage and partner with Product owners, business users (technical and on-technical),  data providers, technology teams, across large financial function to design and deliver  data products
  • Experienced in end-to-end SDLC

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