Job Description:
We are seeking a highly skilled and detail-oriented Analyst to support the integration of new products, new business units, and evolving product offerings into the company’s standard quoting process. This role is critical to ensuring that new products are launched with clear quoting requirements, accurate configuration logic, proper documentation, and effective training for internal teams. This role is critical to our go-to-market process and bridges the gap between early-stage product configurations and scalable enterprise systems.
The Sales Ops Analyst will be based in Hyderabad, IN. In this position, you will report to a Sr Sales Operations Manager . You will be responsible for supporting accurate and timely estimating and quoting, and helping integrate new product lines, and regional requirements into standard quoting processes. You will own the creation of dynamic, logic-driven Excel tools that serve both immediate quoting needs and the design of long-term systems such as CPQ platforms and web-based quoting applications. Strong technical, analytical, and cross-functional communication skills are essential to succeed in this highly visible role. You will work closely with Global Sales teams and Sales-supporting departments such as Product, Finance, Supply Chain, Logistics, Commercial Operations, and IT.
We are looking for someone who demonstrates:
- Excellent communication skills
- High-level reporting capabilities
- Love of analysis and infographics
- Strong attention to detail
- Excel in fast-paced high-pressure environment
- Passionate drive to innovate and create
- Consistent interactive teamwork
- Desire for continuous improvement, top performance and winning
- Thoughtful, fast, disciplined execution
- Relentless customer focus
- Integrity as a core value
Interest in exploring and utilizing Artificial Intelligence (AI) to drive innovation and scale processes
-
Here is a glimpse of what you’ll do…
i. Support accurate, timely, and scalable quoting for commercial opportunities, early-stage products, unreleased products, and service offerings across multiple product lines.
ii. Perform requirement gathering and documentation to enable development of Excel-based quoting tools that improve quoting speed, accuracy, governance, and scalability.
iii. Implement complex logic and configuration rules to support product structures, pricing models, approval workflows, regional requirements, and New BU integration needs.
iv. Collaborate with Product, Engineering, Sales, Finance, IT, Supply Chain, Logistics, and Commercial Operations teams to gather requirements and translate them into quoting logic and scalable process documentation.
v. Serve as a bridge to enterprise quoting systems by ensuring quoting logic, tool structure, product requirements, and product configuration rules can be ported into or inform CPQ systems, web-based quoting platforms, and digital configuration tools.
vi. Support integrating new product into standard quoting processes, including data mapping, product configuration alignment, pricing logic, user training, testing, rollout support, and change management.
vii. Support CPQ systems, including Salesforce CPQ, Oracle CPQ, or similar platforms, as well as web-based quoting platforms and digital configuration tools.
viii. Document quoting logic, product integration requirements, tool architecture, and configuration assumptions for future system migrations and enterprise implementations.
ix. Ensure quoting tools are scalable, accurate, and robust, including version control, error handling, regression testing, and governance controls.
x. Provide training, rollout support, and user feedback integration for internal stakeholders, and end-users.
xi. Explore the use of AI-powered features, including intelligent autofill, anomaly detection, or predictive quoting logic, to enhance tool accuracy and process efficiency.
Partner with Commercial Operations, Product, Finance, IT, and Sales teams to design quoting workflows that can scale across regions, product lines, Business Units, and enterprise systems .
Here is some of what you’ll need (required)…
Preferred experience:
i. Bachelor’s degree with 5 years’ experience or
ii. Master’s degree with 3 years’ experience or
iii. PhD without experience or equivalent work experience
- Experience building or supporting quoting tools for commercial, unreleased, pre-commercial, or newly integrated products.
- Strong understanding of data cleansing, normalization, product configuration logic, quoting rules, pricing logic, and workflow governance.
- Ability to work in fast-paced dynamic environments with evolving product definitions and short iteration cycles.
- Excellent verbal and written communication skills; able to work across engineering, commercial, and IT stakeholders.
- Strong time management, organization, and documentation habits.
Ability to evaluate and incorporate AI tools or frameworks into data analysis or quoting workflows.
-
Here are a few of our preferred experiences…
i. MBA is preferred or equivalent experience.
ii. Experience and strong orientation toward Analysis and customer services
iii. Experience in a startup environment as well as global public companies
iv. Familiarity with CPQ platforms (Salesforce CPQ, Oracle CPQ, or similar).
v. Experience working on web-based quoting or configuration tools.
vi. Exposure to database tools (e.g., SQL, ODBC), API integrations, or cloud-based Excel systems (Office 365, SharePoint).
vii. Background in hardware, manufacturing, renewable energy, or other configuration-heavy industries.
viii. Experience in the Solar Industry is always a plus.
At Nextpower, we are driving the global energy transition with an integrated clean energy technology platform that combines intelligent structural, electrical, and digital solutions for utility-scale power plants. Our comprehensive portfolio enables faster project delivery, higher performance, and greater reliability, helping our customers capture the full value of solar power. Our talented worldwide teams are redefining how solar power plants are designed, built, and operated every day with smart technology, data-driven insights, and advanced automation. Together, we’re building the foundation for the world’s next generation of clean energy infrastructure.
