Business Systems Analyst – Revenue Systems

For decades, DTN has been the silent force behind some of the world’s most critical industries—helping businesses navigate complexity, uncertainty, and risk with smarter, faster decisions. From agriculture to energy to weather intelligence, our proprietary Operational Decisioning Platform transforms raw data into decision-grade insights—enabling companies to optimize supply chains, ensure market stability, and safeguard infrastructure against disruption. We don’t follow trends—we set the standard for precision, trust, and operational impact.

DTN is at an exciting inflection point. Building off a foundation of financial strength, profitability, and industry trust, we’re accelerating growth and expanding our global footprint. Our purpose-built solutions—powered by AI and honed by decades of vertical expertise—are helping some of the world’s most significant enterprises thrive amid operational constraints and uncover new opportunities in a fast-changing world.

DTN is seeking a Business Systems Analyst to support and optimize the Opportunity-to-Cash lifecycle within a SaaS revenue environment. This role partners closely with Sales, Revenue Operations, and Customer teams to enhance Salesforce Sales Cloud and CPQ processes that drive pipeline management, quoting, pricing, and revenue execution. The ideal candidate brings strong analytical skills, systems expertise, and the ability to translate business requirements into scalable technical solutions.

• Support and enhance Salesforce Sales Cloud to optimize the Opportunity-to-Cash lifecycle.
• Partner with Sales and Revenue Operations stakeholders to gather, document, and translate business requirements into functional system solutions.
• Support and improve CPQ workflows, including product configuration, pricing logic, discount approvals, and quote generation.
• Own backlog prioritization aligned to revenue impact and business objectives.
• Lead User Acceptance Testing (UAT) planning and validation to ensure release quality and stakeholder sign-off.
• Maintain data integrity and governance across Salesforce and integrated revenue systems.
• Rapidly learn and support new enterprise tools as the go-to-market technology stack evolves.

• Experience working in a SaaS environment, preferably within a subscription-based revenue model.
• Hands‑on experience supporting Salesforce Sales Cloud.
• Exposure to the Opportunity-to-Cash lifecycle (Lead → Opportunity → Quote → Order).
• Experience with CPQ platforms (e.g., Salesforce Revenue Cloud, Nue, Deal Hub, Apttus, Conga, or similar).
• Experience gathering requirements, writing user stories, and supporting UAT processes.
• Strong stakeholder communication and cross‑functional collaboration skills.
• Experience supporting Revenue Operations teams, forecasting, or pipeline reporting is a plus.
• Exposure to enterprise data governance practices is preferred.
• Experience with Salesforce Service Cloud or Zendesk is a plus.

• Competitive Salary
• Unlimited PTO
• Flexible working hours
• Remote work model (position dependent)
• Competitive Medical, Dental and Vision Insurance Plans
• 6% 401K matching
• Unlimited access to 13k+ courses via learning platform to support employee career advancement
• Employee Assistance Program (EAP)

The targeted hiring base pay range for this position is between $73,400 and $97,800. DTN is a pay‑for‑performance organization, which means there is the opportunity to advance your compensation with performance over time. The actual base pay offered for this position will be dependent upon many factors, including but not limited to: prior work experience, training/education, transferable skills, business needs, internal equity and applicable laws.

The targeted hiring base pay range is subject to change and may be modified in the future. This role may also be eligible for market competitive variable pay and benefits.

DTN is a global data and technology company helping operational leaders in energy, agriculture, and weather‑driven industries make faster, smarter decisions. Our Operational Decisioning Platform turns complex data…