Commercial Lines - Analytics Engineer

Cincinnati Financial • Fairfield, CT

295d • $70,000 - $98,000 • Remote

About The Position

At The Cincinnati Insurance Companies, we put people first and the Golden Rule to our daily operations. To put this into action, we're looking for extraordinary people to join our talented team. Our service-oriented, ethical, knowledgeable, caring associates are the heart of our vision to be the best company serving independent agents. We help protect families and businesses as they work to prevent or recover from a loss. Share your talents to help us reach for continued success as we bring value to the communities we serve and demonstrate that Actions Speak Louder in Person®. If you're ready to build productive relationships, collaborate within a diverse team, embrace challenges and develop your skills, then Cincinnati may be the place for you. We offer career opportunities where you can contribute and grow. Our Commercial Lines department is currently seeking an analytics engineer to help support the department and its Surety business partners by using project management skills and data awareness. The analytics engineer will leverage existing databases and reporting solutions as well as support the development of new solutions. The analytics engineer will utilize basic querying languages and tools to create meaningful statistical-based analysis and reporting. They will also partner with data analysts, IT developers, and the business community to create fast, accurate and effective customer data solutions. This position is based at our Headquarters in Fairfield, Ohio. Many departments at our Headquarters in Fairfield, Ohio, offer hybrid work options, empowering associates to work from home several days a week. Depending on your role and responsibilities, hybrid options may be available for those working at headquarters.

Requirements

• Bachelor's degree in Data Analytics, Business Information Systems, Computer Science, or a related field.
• Proficiency in data analysis tools and software (e.g., SQL, SAS, Excel, Power BI).
• Proven experience as a data analyst, analytics engineer, business analyst or in a similar role.
• Demonstrate analytical and problem-solving skills including the ability to pinpoint data trends and anomalies.
• Ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy.
• Strong customer service skills including active listening, empathy, adaptability and time management.
• Excellent communication and presentation skills.

Nice To Haves

• Certification in data analytics or related fields preferred (e.g., AIDA, Certified Analytics Professional (CAP)).
• Experience with DAX or UI/UX design would be a positive.
• Basic knowledge of or willingness to learn financial and insurance key metrics, surety, bond, and related concepts, and data visualization techniques.

Responsibilities

• Provide data and insight with depth, clarity, speed and precision to deliver the best analysis and data-driven strategies to primary stakeholders and their key personnel.
• Application systems coordination partnering with IT to create and maintain effective system solutions for the Surety business unit.
• Assist primary stakeholders to build, monitor and achieve their goals through an understanding of internal and industry trends.
• Collect, clean, and analyze data from various sources to support business decisions.
• Support departmental reporting and analysis functions.
• Act as a primary data resource to the Surety management team.
• Assist with Surety product profitability and growth initiative reporting.
• Serve as intermediary between IT and the Surety business unit for system development and enhancements.
• Participate and assist in the planning process.
• Assist with evaluating the effectiveness of a proposed solution.
• Identify barriers and constraints that may prevent full realization of value from a solution.
• Design table structures and ETL to build performant data solutions.
• Score departmental objectives and key results.
• Conduct aggregated exposure modeling and analysis.
• Develop basic queries for data mining and writing reports.
• Develop automated routines for extracting requested information.
• Examine reports to locate and resolve errors.
• Develop exhibits that include tables and graphs.
• Represent the business units as a subject matter expert for system quality, performance, and continuous improvement.
• Support other areas within Commercial Lines Analytics.

What This Job Offers

• Industry: Insurance Carriers and Related Activities
• Education Level: Bachelor's degree