Senior Data Business Analyst

Great American Insurance Group

Senior Data Business Analyst in the Crop Division ensuring compliance, analyzing data, and supporting farmers. Combining strategic leadership with technical expertise for the insurance industry.

Posted 7/30/2026full-timeCincinnati • Ohio • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL for data analysis and validation, alongside strong business analysis skills to drive compliance and improve operational efficiency. Proficient in managing cross-functional teams and implementing crop insurance requirements while ensuring effective communication with stakeholders.

Highest-signal resume keywords

SQL Data AnalysisBusiness AnalysisCrop Insurance KnowledgeAgile MethodologyData Visualization (Tableau, Power BI)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQL QueriesData AnalysisRequirements ElicitationProcess ModelingSystem ImplementationTechnical Specification DraftingTest Plan AuthoringData ValidationTroubleshootingAutomation

Soft Skills

Analytical Problem-SolvingWritten CommunicationVerbal CommunicationTeam LeadershipStakeholder Management

Tools & Technologies

Microsoft Office SuiteTableauPower BI

Industry Keywords

Agricultural Risk ManagementFarming OperationsCrop Insurance Programs

Tech Stack

Tools & technologies

SQLTableau

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Benefits

Comp & perks

medical, dental, and vision coverage
wellness plans
parental leave
adoption assistance
tuition reimbursement
Paid Time Off
paid holidays
401(k) plan with company match
employee stock purchase plan
commuter benefits