Business Analyst

The Statistical Data Management (SDM) division of ISO is responsible for data collected via ISO's statistical plans as well as via alternative data collection methodologies. As part of the Data Validation team, you will be part of a fast-developing group with the aim to develop and implement data validation tools in support of ISO's data assets. 

The Business Analyst will work within a team environment to identify statistical data requirements, including data quality needs, as well as support activities with data contributors to understand their needs. They will contribute to developing innovative solutions that will enhance the value of ISO's data and information assets. The ideal candidate is highly inquisitive, detail-oriented, and a systems thinker who will be able to learn our business logic and systems.

Sound interesting? We excel at learning and development and will provide the tools that will enable you to be successful in this role. 

About the Day to Day Responsibilities of the Role

• Analyze regulatory and business requirements for the development of multiline data validation quality checks and implementation of changes to ISO's data management and reporting systems.
• Furnish technical specifications for IT development and manage the creation and execution of detailed test plans to validate system changes against functional and quality assurance requirements.
• Promote and execute quality service by following data quality and customer service standards; analyze and resolve customer data problems; identify trends; and provide suggestions for improvement in data quality review procedures. 
• Develop more efficient, automated ways to improve data quality and error detection processes and systems. 
• Assist with the development of system enhancements through the creation of case studies and detailed test plans.
• Work cross-functionally with other departments to ensure smooth delivery of service enhancements and features.
• Create queries and extract information from Internal Databases.
• Build and maintain proper documentation, procedures and guidelines. 
• Prioritize business needs and make considered decisions while handling multiple projects.      

About You and How You Can Excel in this Role

• 2+ years of Property & Casualty insurance or data analysis experience, or a related field
• Bachelor's degree, with emphasis in data analytics, actuarial science, data science, economics, or a related field.

• Proficiency with spreadsheets (Microsoft Excel) and text editors (Notepad++).

• Familiarity of computing skills desired, such as SQL and Python.
• Professional insurance exams such as CPCU, IDMA, CAS, etc. preferred but not required.
• Experience working within an Agile framework preferred but not required. 
• Strong written and oral communication skills.
• Ability to work under time constraints and adjust plans in the face of changing priorities.
• Capable of working both independently and in a team environment.
• Passion for problem solving.

 

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For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. 

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland.  We value learning, caring and results and make inclusivity and diversity a top priority.  In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.

We’re 7,000 people strong.  We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

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