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Pricing & Revenue Growth Consultant @ Infosys

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 Pricing & Revenue Growth Consultant

Job Description

Role & responsibilities


Required Skills:

  • Business Domain Skills:
    • Trade Promotion Management (TPM) , Trade Promotion Optimization (TPO) , Trade Spend Efficiency
    • Promotion Depth, Frequency, Forecasting, Scenario and Effectiveness
    • Price Pack Architecture, Pricing Elasticity and Price Sensitivity
    • Competitive Price tracking, benchmarking and effectiveness
    • Revenue Growth Management, Category and Channel Growth, Market Entry and New Product Pricing
    • Financial Modeling, Dynamic pricing implementation
    • AI & Machine Learning for Pricing
  • Technical Skills:
    • Proficiency in programming languages like Python and R for data manipulation and analysis
    • Expertise in machine learning algorithms and statistical modeling techniques
    • Familiarity with data warehousing and data pipelines
    • Experience with data visualization tools like Tableau or Power BI
    • Experience in Cloud platforms (e.g., ADF, Data bricks, Azure) and their AI services.
  • Consulting Skills:
    • Hypothesis-driven problem solving
    • Go-to-market pricing and revenue growth execution
    • Advisory, Presentation, Data Storytelling
    • Project Leadership and Execution

Typical Work Environment:

  • Own delivery of RGM solutions, ensuring high-quality deliverables and measurable business outcomes for clients.
  • Collaborative work with cross-functional teams across sales, marketing, and product development
  • Stakeholder Management, Team Handling
  • Fast-paced environment with a focus on delivering timely insights to support business decisions
  • Excellent problem-solving skills and ability to address complex technical challenges.
  • Effective communication skills to collaborate with cross-functional teams and stakeholders.
  • Potential to work on multiple projects simultaneously, prioritizing tasks based on business impact

Preferred candidate profile


Experience and Qualification:

  • Overall, 8 to 10 years of experience in Retail/CPG Analytics with 2 to 4 years of experience in RGM products/services within the Retail/CPG industry.
  • Expertise in Pricing, Promotions, Price Pack Architecture, Trade Spend etc.
  • Experience in engaging senior business stakeholders (VP/C-level) in strategic discussions.
  • Good understanding of application of AI in building and delivering RGM solutions and underlying technology
  • Understanding and experience working in Agile methodologies
  • Degree in Data Science, Computer Science with data science specialization
  • Masters in business administration in Marketing and Analytics preferred

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Consulting
Role Category: IT Consulting
Role: IT Consulting - Other
Employement Type: Full time

Contact Details:

Company: Infosys
Location(s): Bengaluru

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Keyskills:   Trade Promotion Management Trade Spend Efficiency Retail Analytics Trade Promotion Optimization Python Pricing Analysis Azure Promotions R Pricing Price Pack Architecture Data Warehousing Databricks Cpg Trade Spend

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