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Allied Global Marketing
Posted 53 days agoVerified live 1d ago

Analyst - Data Visualization (Remote)

Brief overview

Remote
UndergradOr in progress
4+ yrsMinimum
Microsoft ExcelMicrosoft PowerPointMicrosoft Power BIMicrosoft WordRPythonSQLVisual BasicJavaPostgreSQLData ManagementData AnalysisInsurance AnalyticsVerbal and Written Communication

Job description

Summary

Allied Global Marketing is seeking an Analyst - Data Visualization to support data extraction, analysis, reporting, and actuarial-related processes. The role involves preparing and cleansing data, supporting rating algorithms, participating in cross-functional business projects, addressing data quality issues, maintaining compliance with data governance requirements, and developing relevant technical and industry skills.

Responsibilities

  • Under the direction of a leader or senior team member, learns and performs data extraction assignments for Actuary, including the parsing, joining, standardizing, cleansing, consolidating and filtering of data across inter-related data platforms to create desired outputs that can be leveraged by business users
  • Assists in the design of rating algorithms and processes for rate compare and related processes
  • Leverages and communicates existing and available self-service tools and reporting solutions to satisfy customers' data needs
  • Participates on cross-functional projects, including pricing enhancement research teams, line of business deep dives, in-depth industry vertical analysis, and completing branch business planning
  • Identifies data quality issues and communicates issues to the appropriate technical steward for data fixes
  • Ensures assigned processes and projects are compliant with data governance policies and statutory requirements
  • Proactively engages in professional development related to the insurance industry, technology, data platform, reporting tool changes, statistical analysis, data management, and computer programming skills

Skills

  • Bachelors degree, preferably in computer science, actuarial science, data science, mathematics, or related field, or equivalent relevant experience
  • Good knowledge of Excel, PowerPoint and PowerBI and Word
  • Good analytical, investigation and problem-solving abilities
  • Strong verbal and written communication skills, including documentation
  • Strong human relations and customer service skills
  • Good attention to detail, organizational and multi-tasking skills
  • Ability to maintain a high degree of confidentiality
  • Four years of experience in data management, data analysis, or insurance analytics or related experience
  • Insurance experience preferred
  • Basic programing capabilities preferred, including exposure to at least one computer language, such as R, Python, SQL, Visual Basic, JAVA or PostGreSQL
  • Familiarity with analytical and data terminology, concepts and theory preferred

Qualifications

Must Haves

  • Bachelors degree, preferably in computer science, actuarial science, data science, mathematics, or related field, or equivalent relevant experience
  • Good knowledge of Excel, PowerPoint and PowerBI and Word
  • Good analytical, investigation and problem-solving abilities
  • Strong verbal and written communication skills, including documentation
  • Strong human relations and customer service skills
  • Good attention to detail, organizational and multi-tasking skills
  • Ability to maintain a high degree of confidentiality

Nice to Haves

  • Four years of experience in data management, data analysis, or insurance analytics or related experience
  • Insurance experience preferred
  • Basic programing capabilities preferred, including exposure to at least one computer language, such as R, Python, SQL, Visual Basic, JAVA or PostGreSQL
  • Familiarity with analytical and data terminology, concepts and theory preferred

Benefits

  • Remote work arrangement
  • Valuable experience while contributing to the company's success
  • Professional development related to the insurance industry, technology, data platform, reporting tool changes, statistical analysis, data management, and computer programming skills

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