Datacor
Finance Specialist
Remote - US
Sponsorship not specifiedDetected 20 days ago
LLMsSalesforceCRMSalesExcelERPCustomer SupportLeadershipCommunicationProblem SolvingMicrosoft Office
About the role
- from contract preparation and order processing to license distribution, invoicing, recurring revenue
- It is an excellent entry point into a broader Finance
Responsibilities
- GTM Support and Order Fulfilment
- Support the global sales team in preparing proposals and collecting signatures using our esignature
- Create, revise, and distribute license files to fulfil new orders, upgrades, and demo requests
- Manage licenses as needed to support sales and renewal activity
- Maintain accurate contract details in the back-office system
- Update and deliver license files as needed when contracts are renewed
Requirements
- Bachelor's degree in a business-related field, or equivalent experience
- 2+ years of experience in order management, finance operations, or administrative support
- Working knowledge of Salesforce or experience with a CRM application
- Proficiency in Microsoft 365 (Excel, Word, Outlook)
- experience with ERP or billing systems
- High attention to detail with a strong degree of accuracy in data entry, billing, and recordkeeping
- Occasional travel may be required for in-person team meetings, though
- Coordinate with third-party software suppliers as required to fulfil new orders and software
Company info
- Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers' most difficult problems.
- We are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in. We at Datacor help our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications.
- The Role
- This role partners with our global go-to-market teams to manage the full order-to-cash lifecycle -
- renewals, and monthly service billing.
- Operations career, with opportunity to develop across the full Finance Operations function over
- Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space.
- We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers' most difficult problems.
- We are passionate about serving our customers and helping them use data as a competitive advantage.
- Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in.
- We at Datacor help our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications.
- Gather and verify all relevant order data to ensure accurate processing of invoices and
- credits, maintaining records in line with internal retention requirements
- enhancement renewals
- Recurring Revenue Renewals
- Invoice renewals as needed throughout the month, ensuring accurate pricing
- Update licenses to extend end dates
- Projects and Service Billing
- Create projects as needed with careful attention to order details, ensuring customer
- invoices for services performed are accurate
- Edit project structures as needed to ensure staff have access to projects and can record
Equal opportunity
- Datacor is an Equal Opportunity Employer and does not discriminate on the basis or race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic.
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This listing is sourced directly from Datacor's careers page and normalized into a canonical job model.