Solutions Consultant - Revenue Growth Management

Asper.ai; Bengaluru; Presencial; INR 1 500 000 - 2 500 000; Tempo integral

Resumo da oferta

Asper.ai in Bengaluru is seeking a senior consultant with strong Revenue Growth Management (RGM) expertise to perform hands-on analytics, code business logic, and develop solutions across RGM pillars. The role blends RGM domain work, analytics, GenAI, and product development with RGM SMEs and engineering teams.

The position emphasizes execution across product modules, implementation, and enablement for customers, requiring 4+ years in CP/G analytics or consulting and expert SQL skills.

Qualificações

• 4+ years of experience in CP G analytics or consulting.
• Expert level SQL with complex joins and window functions.
• Strong understanding of RGM levers and pricing/promo models.

Responsabilidades

• Own business requirements for assigned RGM product modules and features.
• Create and maintain BRDs including business logic and SQL patterns.
• Design and test workflows to enable RGM analysis and decisioning; apply GenAI.
• Map data fields and end-to-end workflows into modules and configuration.
• Review model outputs with data science teams and provide input.
• Design schemas and test cases for RGM capability evaluation.
• Iterate analytical logic as part of product and platform development.
• Collaborate on first-time implementation of products for customers.
• Analyze customer workflows and enterprise data structures.
• Create product guides and training materials; participate in UAT.

Conhecimentos

Analytical thinking

Structured problem-solving

Cross-functional communication

GenAI concepts

Formação académica

Bachelor's degree in engineering, Analytics, Business

MBA or master's degree in management is highly preferred

Ferramentas

SQL

Descrição da oferta de emprego

Job Title : Solutions Consultant - Revenue Growth Management

Exp : 4-8 years

Notice Period : 15-30 days preferred

Position Overview : We are looking for senior consultant with strong Revenue Growth Management (RGM) expertise, responsible for hands‑on analytics, skill codification, and solution development across RGM pillars. This role is execution heavy and sits at the intersection of RGM domain, analytics, GenAI, and product development, working closely with RGM SMEs and engineering teams.

Key Responsibilities

Product

• Own business requirements for assigned RGM product modules and features.
• Create and maintain BRDs, including business logic, SQL patterns, edge cases, and insight interpretation guidance.
• Design and test workflows to enable RGM analysis, insight generation, and decisioning; apply GenAI concepts within defined product use cases.
• Map data fields, business rules, and end‑to‑end workflows into product modules and configuration frameworks.
• Review model outputs with data science teams and provide input for refinement and functional acceptance.
• Design schemas and test cases for RGM capability evaluation.
• Continuously test, iterate, and refine analytical logic as part of product and platform development.

Implementations

• Collaborate on first‑time implementation of products for customers.
• Analyze customer workflows, enterprise data structures, and decision‑making processes.
• Create product guides and training materials; participate in UAT and customer enablement.

Requirements

Core RGM

• Strong functional expertise across RGM levers such as Pricing, PPA, Mix, Trade Promotions, and Trade Terms

Problem Solving

• Strong analytical and structured problem‑solving skills with the ability to translate business needs into product requirements.

Communication

• Able to work effectively across cross‑functional teams and communicate complex ideas clearly.
• Strong understanding of pricing and promotion models, with the ability to collaborate with data science teams on model iterations.
• Working understanding of GenAI concepts and prompt design for analytics and domain‑grounded use cases.
• Strong understanding of structured data models and familiarity with POS, finance, and promo data in CPG / retail.

Education

• Bachelor's degree in engineering, Analytics, Business, or related field
• MBA or master's degree in management is highly preferred not mandatory.

Experience

• 4+ years
• CPG analytics or consulting with expert level SQL (complex joins, window functions, business logic translation).