Hiring: Senior Business Analyst Company: Verisk Location: Jersey City, NJ Job Posted Time: 2026-09-16 11:50:04 Target Skills & Keywords : Microsoft Excel, Microsoft Office, Microsoft PowerPoint, Python, R, SQL, User Experience About the job Experience: •1-5 years of P&C insurance industry experience, especially insurance data management, actuarial practices, and familiarity with the ISO/Verisk core business •5 years of P&C insurance industry experience, especially insurance data management, actuarial practices, and familiarity with the ISO/Verisk core business •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. •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. Required Skills: •Also utilize analytical and creative thinking to architect new capabilities and user experiences for our forward-looking digital platform. •In this position, you may be asked to take on multiple projects simultaneously, sometimes working independently, but more often collaborating across business units, including data, product development and IT. •Also get exposure to working with state insurance departments as part of our loss cost filing process and responsibilities. •Prepare products for regulators and internal & external customers in a timely and accurate manner. Products may include experience review analyses, state loss cost filings and other actuarial circulars, other customized data analyses and business intelligence tools and dashboards and thought leadership articles to meet customer needs. •Coding logic and program troubleshooting to extract data for analysis and report compilations. •Review the quality of premium, exposure, loss and claim data submitted by insurance companies both on a semi-aggregate level for use in actuarial methodologies and analyses •Develop more efficient, automated ways to improve business processes and customer experience. •This can include providing suggestions for improvements in data quality analysis diagnostics and content visualization and delivery mechanisms. Qualifications: •Bachelor’s degree with concentration in a quantitative discipline such as Statistics, Mathematics, Actuarial Science, Economics, Engineering, or Physical Sciences •Strong analytical, problem solving, decision-making skills and technical aptitude •Self-motivated, customer oriented, possessing leadership qualities, able to work independently and as part of a team •Excellent verbal and written communication skills •Solid functional working knowledge of SQL, R, Python, or other general-purpose programming languages and familiarity with other BI tools (PowerBI, Tableau, ThoughtSpot) •Proficiency in Microsoft Office (Excel, Word, PowerPoint) •Demonstrated capacity to work on several projects concurrently, and under time constraints with the ability to adapt in the face of changing priorities •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. •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. Compensation: •$110,000 - $150,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!