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Analyst - Data Visualization (Remote)

Role overview

Qualifications

  • Bachelors degree in computer science, actuarial science, data science, mathematics, or related field
  • Four years of experience in data management, data analysis, or insurance analytics
  • Good knowledge of Excel, PowerPoint and PowerBI
  • Basic programming capabilities, exposure to one computer language such as R, Python, SQL, Visual Basic, JAVA or PostGreSQL

Responsibilities

  • Perform data extraction assignments for Actuary, including parsing, joining, standardizing, cleansing and filtering of data
  • Assist in the design of rating algorithms and processes for rate comparison
  • Leverage self-service tools and reporting solutions to meet customer data needs
  • Identify data quality issues and ensure compliance with data governance policies

Key facts

Other skills

  • Microsoft Excel
  • Microsoft PowerPoint
  • Analytical Thinking
  • Communication
  • Problem Solving
  • Organizational Skills
  • Detail Oriented
  • Customer Service

About the company

WORKOO.NET logo

WORKOO.NET

Staffing & Recruiting

WORKOO.NET: HR OTHERWISE ... Workoo is a human resources exhibition platform, a saas designed for the easy enhancement of skills of all kinds. Only the essenciel is displayed, it is not a social network. People pay $1 a year to be professionally exposed worldwide. THE PROBLEM THAT GENERATES THE IDEA: AN INCOMPLETE PROCESS... Information is the only weapon of economic wars of this time, and more importantly the enhancement of information. Workoo is now the leader of a sector Bitterly behind the technological advance of the world, which of course is expensive for humanity. Very often hired under an instant need, the staff is recruited on the basis of somes few elements, while it is still sorely lacking informations about their real abilities. Too late often when we get there, we do with and we adapt. But it's not at the post to adapt to the incompetences of the person, it's up to the person to be adaptable to the job. Thus, the profiles genuinely correspondents are referred to sectors that are inappropriate to their skills and abilities by, and the vicious circle begins again. AN EFFICIENT SOLUTION: HR OTHERWISE ... For humanity we have totally redesigned the model of direct recruitment, since the best way to predict future is to create it. We started on the basis of real information necessary for the development of a skill, what does it matter at what level it is? We have a set, which effectively responds to all fields of view that leads to a recruitment of profiles corresponding for the success of all.

Company details

Company typeSME
IndustryStaffing & Recruiting
Company size51 - 200

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Job description

You'll put your skills to good use as an important member of our team. You can count on gaining valuable experience while contributing to the company's success. Our company strives to hire and retain the best people by engaging, developing and rewarding employees.
Essential Functions:

  • 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.

Education & Experience:

  • Bachelors degree, preferably in computer science, actuarial science, data science, mathematics, or related field, or equivalent relevant experience

**Candidates may qualify for a Data Analyst II if they meet these requirements

  • Bachelors degree, preferably in computer science, actuarial science, data science, mathematics, or related field, or equivalent relevant experience
  • Four years of experience in data management, data analysis, or insurance analytics or related experience
  • Insurance experience preferred

Knowledge, Skills & Abilities:

  • Good knowledge of Excel, PowerPoint and PowerBI and Word
  • 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
  • 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

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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