Consultant/AM: Pricing Data Analytics

Job description – Consultant (Pricing, Strategy) 

Location: Bangalore\Gurgaon\Mumbai

About us 

The position in discussion is with the Deal Advisory team at KPMG Global Services (KGS), which is KPMG’s global delivery centre and is an integral part of the firm’s strategy to enhance innovation, build scalability, and improve profitability, globally.

KGS’ Deal Advisory Group is a team of 1500+ professionals, majority based in Gurgaon.

KGS DA has been providing solutions to KPMG member firms globally. Leveraging insights and applying best practices, the team helps create customized approaches to M&A transactions. The team’s capabilities include Corporate Finance, Transaction Services, Strategy, Business Modelling, Accounting Advisory Services, Deal Advisory Research and Benchmarking

About the team 

The Strategy team works with C-level Executives to identify, structure, and solve their most critical strategic issues across the economic and transaction cycles. As part of a fast-paced and dynamic group, our consultants offer strategic advice on financial, business, and operating models to corporate, public sector and private equity clients. 

KGS Strategy team in India is organized by sectoral and functional capabilities to provide practical and actionable recommendations that can be delivered by the client in a cost-effective manner, both in a deal and non-deal environment. Key member firms with which KGS Strategy team works include KPMG UK and KPMG US.

About the role 

Within the Strategy team we have an established Pricing strategy practice, serving number of sectors including retail, consumer goods, healthcare, pharmaceuticals, transport, and industrial manufacturing sectors serving UK, European and international clients. We work with C-level executives to identify, structure, and solve their most critical strategic issues related to deal strategy, and growth strategy. 

KPMG’s Pricing strategy practice is a specialised team focused on solving pricing and revenue optimization problems for its clients’ using data and analytics techniques to deliver a sustainable solution which can deliver both short- and long-term margin improvements. As a team, we are a group of bright committed individuals who are passionate about delivering fantastic client work, solving complex data related problems, investing our time in acquiring new analytical skills, and having fun both inside and outside of work.

Responsibilities: 

We are recruiting for 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+ 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.