DTN
DTN Benefits Overview
Compensation + Benefits
Offers 401(K)
Offers life insurance
Offers accidental death & dismemberment insurance
Offers disability insurance
Offers supplemental life insurance
Offers dental insurance
Offers health insurance
Offers mental health benefits
Offers Flexible Spending Account (FSA)
Offers vision insurance
Offers Health Savings Account (HSA)
Provides family medical leave
Offers generous parental leave
Offers performance bonuses
Work-Life Balance + Wellbeing
Offers company-sponsored outings
Offers an Employee Assistance Program (EAP)
Offers generous PTO
Provides paid holidays
Provides bereavement leave
Offers paid volunteer time
Provides paid sick days
Career Growth + Development
Provides customized development tracks
Provides tuition assistance
Company Culture
Offers a remote work program
Offers legal assistance
Recently posted jobs
Analytics
Supports complex enterprise sales opportunities for agriculture SaaS solutions by partnering with sales teams, demonstrating products, assessing customer requirements, recommending tailored solutions, preparing technical specifications, validating capabilities, addressing objections, and translating technical functionality into business value. Builds trusted customer relationships through consultative engagement, industry expertise, presentations, and value-based storytelling.
Analytics
Owns new customer acquisition for DTN’s agriculture solutions, including prospecting, lead generation, pipeline development, consultative selling, executive engagement, proposals, negotiations, and closing. The role requires transitioning won customers to Account Management, maintaining Salesforce records, and collaborating with Marketing, Finance, Operations, and Sales. Success depends on B2B SaaS sales expertise, agriculture industry knowledge, networking, and consistently achieving new-business targets.
Analytics
Own the strategy, roadmap, and investment priorities for foundational agricultural data products, including pipelines, data models, APIs, and shared services. Partner with engineering, architecture, data science, and product teams to deliver scalable, governed, high-quality data capabilities. Prioritize initiatives based on customer and commercial value, define success metrics, resolve cross-team tradeoffs, and expand data support for analytics, predictive modeling, machine learning, and AI applications.
