Sales Operations Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Support the integration of new products and business units into the company’s standard quoting process, ensuring accurate requirements, configuration logic, documentation, and training. Own dynamic, logic-driven Excel quoting tools and automation workflows that improve quoting speed, accuracy, governance, and scalability. Implement complex pricing, approval, and regional rules, and collaborate across Sales, Product, Finance, IT, Supply Chain, Logistics, and Commercial Operations. Bridge quoting logic to enterprise systems like Salesforce CPQ and Oracle CPQ, plus web-based quoting platforms, while enabling onboarding and change management.

Location: Fremont

Workplace: Onsite

Employment Type: Full time

Job Function: Business Operations

Seniority: Mid level

Key Responsibilities

•Support accurate, timely, scalable quoting for commercial opportunities and new business unit offerings across multiple product lines.
•Design, develop, and maintain Excel-based quoting tools and quote automation workflows to improve speed, accuracy, governance, and scalability.
•Implement complex logic and configuration rules for product structures, pricing models, approval workflows, and regional requirements.
•Collaborate with cross-functional teams to gather requirements and translate them into quoting logic, automation rules, and scalable documentation.
•Bridge quoting logic to enterprise systems and support onboarding/integration for new business units, including training, rollout support, and change management.

Key Requirements

•Bachelor’s degree with 5 years’ experience or Master’s degree with 3 years’ experience (or PhD without experience).
•Experience building or supporting quoting tools for commercial/unreleased/pre-commercial or newly integrated business unit products.
•Strong understanding of data cleansing, normalization, product configuration logic, quoting rules, pricing logic, and workflow governance.
•Excellent verbal and written communication skills across engineering, commercial, and IT stakeholders.
•Ability to evaluate and incorporate AI tools or frameworks into data analysis or quoting workflows.

Education:Bachelor's

Skills:CommunicationReportingAnalytical thinkingAttention to detailTime management

Languages:English

Tech Stack:ExcelArtificial Intelligence (AI)CPQSalesforce CPQOracle CPQWeb-based quotingProduct configuration toolsSQLODBCAPI integrationsOffice 365SharePoint

Company Brief

Next Power

Develops, finances, and operates utility-scale renewable energy projects, focusing on solar photovoltaic and energy storage solutions to deliver clean power and grid services to commercial, industrial, and utility customers.

Industry: Renewable Energy

Website

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Next Power

2 days ago

Sales Operations Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Location: Fremont

Workplace: Onsite

Employment Type: Full time

Job Function: Business Operations

Seniority: Mid level

Key Responsibilities

•Support accurate, timely, scalable quoting for commercial opportunities and new business unit offerings across multiple product lines.
•Design, develop, and maintain Excel-based quoting tools and quote automation workflows to improve speed, accuracy, governance, and scalability.
•Implement complex logic and configuration rules for product structures, pricing models, approval workflows, and regional requirements.
•Collaborate with cross-functional teams to gather requirements and translate them into quoting logic, automation rules, and scalable documentation.
•Bridge quoting logic to enterprise systems and support onboarding/integration for new business units, including training, rollout support, and change management.

Key Requirements

•Bachelor’s degree with 5 years’ experience or Master’s degree with 3 years’ experience (or PhD without experience).
•Experience building or supporting quoting tools for commercial/unreleased/pre-commercial or newly integrated business unit products.
•Strong understanding of data cleansing, normalization, product configuration logic, quoting rules, pricing logic, and workflow governance.
•Excellent verbal and written communication skills across engineering, commercial, and IT stakeholders.
•Ability to evaluate and incorporate AI tools or frameworks into data analysis or quoting workflows.

Education:Bachelor's

Skills:CommunicationReportingAnalytical thinkingAttention to detailTime management

Languages:English

Tech Stack:ExcelArtificial Intelligence (AI)CPQSalesforce CPQOracle CPQWeb-based quotingProduct configuration toolsSQLODBCAPI integrationsOffice 365SharePoint

Company Brief

Next Power

Industry: Renewable Energy

Website