Senior Business Intelligence Analyst

Há 6 dias

Manaus, Amazonas, Brasil beBeeDataScientist Tempo inteiro R$60.000 - R$98.000

Job Description:

LexisNexis Risk Solutions is a leading provider of data analytics solutions. We are innovators, passionate about improving outcomes.

This role exists to conduct data handling and quality analyses in a fast-paced environment.

The successful candidate will work across business teams to collect, match, and consolidate data.

Responsibilities include performing data analysis for assigned business, designing and developing solutions, and making process improvements to achieve business goals.

Key skills include data manipulation, cleansing, and the use/creation of relational databases, as well as strong oral and written communication skills.

  • Works across business/teams to collect, match, and consolidate data.
  • Perform data analysis for assigned business including design and development of solutions.
  • Make process and/or system improvement recommendations to assist the business in achieving its goals and objectives.
  • Clearly summarize, document, and communicate/present analytic work and/or results to internal and external clients, and analytic and non-analytic stakeholders.
  • Create attributes, optimize code and data mine in LexisNexis Risk Solutions programming language and system (HPCC/ECL) for clusters.

Requirements:

  • Created attributes for statistical modeling.
  • Analyzed and modeled for projects in the risk/fraud fields.
  • Managed data analysis projects.
  • Worked with a programming language and system to execute parallel processes.
  • Strong oral and written communication skills, including the ability to describe technical results to non-technical audiences.
  • Experience in data manipulation, cleansing and use/creation of relational databases.
  • Ability to learn quickly, work with a team, and communicate effectively.
  • Advanced English and fluent in Portuguese.

Preferred Qualification:

  • Bachelor's degree in statistics, computer science, engineering, mathematics, or actuarial science.

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