About the job Analyst - Data Visualization (Remote) 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