Verisk Recruitment Drive 2025 | Verisk Hiring Software Engineer

www.djobbuzz.com 12 Jun 2025

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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.

We are seeking a skilled and detail-oriented Data Analyst to join our team.
The ideal candidate will have hands-on experience with Python coding, Data analysis, QA experience with test case creation, test automation, and end-to-end testing.
In this role, you will work closely with software engineers and AI scientists to ensure the delivery of high-quality products and solutions.

At least 3 years of experience in a relevant field.
Ability to analyze and review data to identify patterns, issues, and trends within datasets, logs, and reports. Strong attention to detail and ability to draw actionable insights from complex data sets.
Proficient in Microsoft Excel, including advanced functions, pivot tables, and data visualization for reporting and analysis
Knowledge of common Python data analysis libraries (e.g., Pandas).
Skilled in using business intelligence tools like Power BI to visualize and analyze test data, uncover trends, and provide data-driven recommendations to improve product quality.
Strong background in QA process development, execution, and documentation.
Proficiency in manual and automated testing methodologies, including quality concepts.
Good understanding of git and working collaboratively on team-level code bases.
Experience with Agile and Scrum methodologies.
Knowledge of cloud technologies and platforms such as AWS is a plus.
Experience with the Linux command line and basic Linux server administration skills is a plus.
Prior experience in the P&C insurance industry is a plus.
Bachelor’s degree in computer science or a related field, or equivalent experience.

Analyze test data, logs, and other relevant information to identify issues and ensure high data quality.
Own the software QA process, including developing, implementing, and maintaining test plans, scenarios, and cases.
Perform both manual and automated tests for websites and applications.
Write and maintain Python scripts to support data analysis.
Analyze requirement and design specifications to develop relevant test cases.
Develop and maintain automated test suites for web and application testing using appropriate tools and frameworks.
Identify and report defects with clear steps to reproduce.
Manage testing across multiple applications using a range of tools and technologies.
Support and execute application testing phases (functional and non-functional) to ensure software meets requirements before production.
Perform end-to-end testing for the entire application, ensuring that all components and interactions work as expected from the user’s perspective.
Coordinate with developers and AI analysts to identify requirements, potential issues, and improvements in both functional and non-functional aspects of the software.
Identify, document, and track defects in the software, providing clear, concise information to facilitate quick resolution.
Stay current with industry trends and best practices to improve the quality and efficiency of the testing process.