LexisNexis Risk & Solutions

LexisNexis Risk Solutions is a leader in providing essential information that helps customers across all industries and government assess, predict and manage risk. Combining cutting-edge technology, unique data and advanced analytics, we provide products and services that address evolving client needs in the risk sector while upholding the highest standards of security and privacy.
LexisNexis Risk Solutions is headquartered in Alpharetta, Georgia, and has more than 5,200 full-time employees and contractors in offices around the world.* LexisNexis Risk Solutions is part of RELX Group, a world-leading provider of information solutions.
Since 1988, LexisNexis Risk Solutions has scaled through innovation and growth in core businesses, and expansion into attractive adjacent and international markets, completing more than a dozen acquisitions in the last two years.

Data Modeler (v1431640)

  • Código da vaga: v1431640
  • Nível hierárquico: Sênior
  • Local: São Paulo / SP / BR
Job Description:
Develops SAS software code in support of RISK Solutions Business. Processes customer projects according to specified requirements.

Accountabilities:
• Development of medium to difficult SAS software modules to meet customer specifications
• Process customer input files; parsing and re-formatting to match vendor / product requirements
• Process vendor / product return files; parsing and re-formatting to meet customer specifications
• Generate statistical reports for QC and administrative reporting / billing purposes
• Participate in team meetings to discuss best practices / processes and administrative processes
• Participate in technical/professional training

Qualifications:
• Bachelor’s degree in computer science, mathematics or quantitative methods
• Solid experience in data manipulation, cleansing and modeling
• Solid experience in C, C++, SAS, SQL
• Excellent written and oral communication skills
• Ability work well with all levels within the organization
• Excellent analytical skills are essential
• Strong organizational and forecasting skills
• Understanding of data and how the data corresponds with the country of origin to assist in creating a statistical model

Fluent in Portuguese and English
Work location: Alphaville
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