Americanfidelity

Americanfidelity

Data Analyst III/II/I

Oklahoma City, Oklahoma · Mid

Sponsorship not specifiedDetected 30 days ago
Data StructuresAlgorithmsSQLMachine LearningData ScienceData VisualizationNLPStatisticsA/B TestingNegotiationExcelSASResearchCommunicationProblem SolvingMicrosoft OfficeActuarial Science

About the role

  • * Plan, implement and execute data mining and predictive modeling related projects to which they are assigned to deliver intended business value propositions, on time and within scope according to agreed upon priorities. The Data Analyst is accountable for working collaboratively with Data Navigators and for the successful delivery of all projects under
  • * Assist the Research & Development team, Executive Management, and AFA through the production and maintenance of data and metrics regarding demographics, market trends, behavioral economics, and socioeconomic shifts.

Responsibilities

  • Plan, implement and execute data mining and predictive modeling related projects to which they are assigned to deliver intended business value propositions, on time and within scope according to agreed upon priorities.
  • using computers to improve as well as develop algorithms

Requirements

  • This includes the ability to speak confidently in both business and technological surroundings and appropriately transliterate between the two.
  • Exceptional organizational skill and ability to work autonomously.
  • Experience using data visualization tools such as QlikSense or Tableau

Nice to have

  • Advanced knowledge of one or more differing statistical programming languages such as SAS, R or Stata.
  • Skilled in Robotic Process Automation tools such as UI Path and Artificial Intelligence tools like Data Robot
  • Skilled in MS Office Suite including MS Access, Excel, PowerPoint, Word and MS SharePoint.
  • Familiarity with the following disciplines

Skills

  • Skilled in Robotic Process Automation tools such as UI Path and Artificial Intelligence tools like Data Robot 4.

This listing is sourced directly from Americanfidelity's careers page and normalized into a canonical job model.