Data Analyst- Must Work on W2

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Data Analysis
SQL
VBA
Python
Excel

Job Details

Role: Data Analyst
Location: Jersey City, NJ (3 days onsite 2 days remote) - Local Nearby Candidates Required
Duration: Long Term

The ideal candidate will have: Data Analysis, SQL, VBA, Python and Excel

Job Description:

  • Ownership of work streams with business and technology stakeholders to discuss business problems
  • Experience of all aspects of project life cycle
  • Excellent technical skills; SQL, Excel, VBA, and Python
  • Strong Market Risk, Risk, or Front Office experience
  • Strong financial markets product knowledge
  • Solid understanding of regulatory landscape
  • Partner with Global Markets Financial Risk (GMFR), Global Risk Analytics (GRA) and Model Risk Management (MRM) for business requirements
  • Demonstration of new functionalities to business and technology stakeholders
  • Adherent to risk mitigation plan defined by corporate audit
  • Escalation of issues to senior partners in a timely manner
  • Follow Enterprise Change Management (ECM) process
  • Drive process improvement and policy development initiatives that impact market risk technology
  • Propose technological solutions to business problems and facilitate agreement with all stakeholders
  • Cost estimation of technology solution and participate in budget approval process
  • Develop prototypes (using python, SQL, excel/VBA) to demonstrate solutions to stakeholders
  • Consult with management to guide and influence long term and strategic decision making within the broadest scope
  • Data analysis using distributed computing and Big Data platforms such as Apache Hadoop
  • Collaborate with team members to collect and analyze large data sets
  • Develop data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
  • Use graphs, infographics, and other methods to visualize data
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Interpret data and analyze results using statistical techniques
  • Using Agile SDLC methodology, work with Product Owner/Product Manager for documentation/development of Epics and Stories
  • Ownership of functional design of market risk applications
  • Facilitate agreement on technical design with technology stakeholders
  • Coordinate UAT activities, releases, and migration events - track defects and progress on resolution

Regards

Tim Patten

tim (at) pullskill (dot) com

551-272-o2o3

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