Pricing Consultant
2 weeks 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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