Pricing Consultant
2 months ago
Responsibilities:
We are recruiting for a Consultant with Pricing / Data Analytics experience. The role is currently part of KPMG’s Pricing Strategy team based in India that works closely with KPMG UK and includes following core responsibilities:
Working collaboratively with client staff and management, often working in joint teams and sometimes at client sites, in the development and delivery of pricing solutions/ recommendations.
Understand client system and data structures and designing and executing data intensive analysis to support development of evidence-based insights.
Independently work on analysis, including defining deliverables, setting timelines, and develop high quality output and managing expectations.
Implementation of solutions/tools in client environment and train client to implement new approach and appropriate tools.
Planning and undertaking primary and secondary research to develop insightful analysis for clients.
Contributing to the delivery and presentation of client deliverables
Being involved in business development activity, showing initiative in building relationships with clients during engagements and while at client site
Contributing to thought leadership and knowledge management to support practice development.
Required qualifications:
Education/professional qualifications: MBAs/ B. tech/ B.E. from a leading Indian/International educational institutions
Strong experience (at least 2-3 years) with strategy or analytics experience gained in corporate roles, analytic boutique, and strategic consultancy firms.
Required key Skills:
Experience in business research and data analytics with strong understanding of databases and data manipulation (Data cleansing, aggregation and summary)
Essential experience of economic modelling and analysis by using tools such as Alteryx, PowerBI, Tableau, Excel VBA macros, Python, SQL, R, etc.
Good to have experience of using SAP Analytics Cloud (SAC), Google Looker, LookML and other dashboarding techniques
Experience in designing/implementing machine learning models for pricing applications including but not limited to price elasticity models, customer segmentation, linear regression, logistic regression, random forest
Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance
Strong understanding of databases and data manipulation (Data cleansing, aggregation and summary)
Strong numerical, analytical and strategic thinking skills - able to demonstrate how one supports the other - and sound commercial acumen
Goal driven - focused on helping the client to understand issues and resolve key questions; ability to drive through to an outcome in circumstances of complexity and ambiguity
Flexibility to adapt to a variety of different engagement types, working hours and work environments and locations
Excellent written and verbal communication skills
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