Senior Data Business Analyst

Great American Insurance Company•Cincinnati, OH

3d•Hybrid

About The Position

Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow. At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best. This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without the need for current or future sponsorship. The Crop Division of Great American has been helping generations of farmers take control of their risks since 1915. The Division is also one of a select few private companies authorized by the United States Department of Agriculture Risk Management Agency (USDA RMA) to write MPCI policies. With six regional offices throughout the U.S., the teams provide tremendous expertise in the specific needs of farmers and crops. As one of the largest Crop insurers in the country, Great American is recognized as a leader in this specialized marketplace. We are seeking a strategic and dynamic leader to join our GREAT team. https://www.greatamericancrop.com/ Great American’s culture is built on connection, shared learning, and strong relationships. This is a hybrid role that combines in-office and remote work. Employees are expected to maintain a meaningful on-site presence to support collaboration, relationship building, and business success.

Requirements

Bachelor's degree in Business, Information Technology, Computer Science, Agriculture, Agronomy, Agricultural Economics, or related field
Combined 5+ years of: Business analysis experience including requirements elicitation, process modeling, and system implementation
Combined 5+ years of: Data analysis experience with demonstrated SQL and analytical capabilities
Strong analytical and problem-solving abilities
Excellent written and verbal communication skills
Proficiency with Microsoft Office Suite
Ability to learn new technical tools and methodologies quickly

Nice To Haves

10+ years of combined business analysis and data analysis experience
Knowledge of crop insurance programs, agricultural risk management, or farming operations
Experience leading complex, enterprise-level initiatives
Experience with both Agile and Waterfall methodologies
Data visualization tools experience (Tableau, Power BI)
Previous mentoring or team leadership experience

Responsibilities

Protect compliance and minimize financial exposure by detecting, triaging, and resolving processing errors with rigor and speed, prioritizing items with imminent cutoff impacts, communicating status and decisions to stakeholders, and identifying and implementing prevention measures that reduce error incidence over time.
Monitor, prioritize, analyze, and resolve daily error feeds/queues, keeping stakeholders informed of progress.
Coordinate with upstream/downstream teams to implement fixes and champion prevention initiatives Ensure timely, accurate, and compliant implementation of Crop Insurance requirements by proactively tracking changes, coordinating cross-functional delivery, validating technical changes with rigorous testing, communicating downstream impacts to stakeholders, and keeping the knowledge base and documentation current.
Draft clear technical specifications referencing record layouts, field definitions, validations, and cross-field rules.
Author test plans/cases (positive/negative, regression) and document results.
Maintain knowledge base and system documentation.
Facilitate demos or reviews with IT and business teams.
Leverage SQL effectively to access, analyze, and validate data by writing accurate, efficient queries; applying appropriate performance techniques; and continuously improving data quality, insight delivery, and business outcomes.
Write intermediate to advanced SQL queries, with security and optimization given the highest attention.
Validate and reconcile data across multiple sources and business expectations.
Troubleshooting data discrepancies, quality, and/or performance issues.
Document query logic and assumptions clearly.
Develop reusable query assets for recurring analysis or reporting.
Deliver reliable, responsive, and compliant customer support by managing and prioritizing requests, resolving user issues and questions, improving self-service resources, and analyzing trends to proactively reduce incidents and improve customer experience and business outcomes.
Manage request queues, discussions, and workflows.
Serve as point-of-contact for key business partners; manage expectations and timelines.
Solve issues and requests for responsibility areas.
Drive automation and AI-assisted triage where appropriate.