Infosys BPM - Head - Retail/CPG Domain - IIT/NIT/IIM/MDI

OBJECTIVES OF THE ROLE :

Ops Analytics is a recently established Practice at Infosys BPO and one of the fastest growing businesses in the company. The Practice:

- Drives business metrics that add to the top-line and / or profitability for clients- business

- Develops Descriptive (reporting) through to Prescriptive Analytics, based on clients- need

- Applies next-gen technology to all parts of the analytics lifecycle from data extraction to visualization & analysis

The Practice is now looking for a Retail / CPG Senior Practice Lead to play a critical role in showcasing practice capability, driving revenue growth and differentiating Retail / CPG services in our solutions. This role-holder:

- Has deep Retail / CPG experience to identify opportunities, white spaces existing in the industry

- Reviews and builds upon the Retail / CPG analytics capability existing in the various parts of the Infosys organization

- Brings the Retail / CPG domain relevance in all pursuits and business conversations with client organizations

- Interprets and translates business requirements into solutions that can be taken to the market

- Operates as a single point of contact for customer facing groups within Infosys and liaises with multiple teams within the organization

- Has strong project management skills

 RESPONSIBILITIES :

 Review Capability & framework development :

- Review Reporting & Analytics services currently being provided to Retail & CPG clients - what are our areas of strength vs while-space areas that we need to develop

- Own development of Retail & CPG Analytics capability deck, metrics, benchmarks, case studies, PoCs and other client collaterals

- Develop Points of View to differentiate the practice's offerings vis--vis other service lines - must be able to articulate why - Operations Analytics- in the context of client pursuits.

 Analytics projects (build Analyst team to perform this role) :

- Perform quantitative and qualitative analysis like (raw) data analysis, statistical modelling, data deep-dives etc. to acquire insights from data

- Build analytical models which are predictive or have forward-looking measures to develop - foresights- or alerts around business metrics

- Translates insights into an analysis reports and communicate insights back to clients

- Develop paid PoCs (Proof of Concepts) working with client stakeholders and mapping their business pain points and problems to Analytics needs, and leveraging relevant tools and frameworks

Solution Design :

- Understand and translate client requirements into a solution offering, solution plan, proposal and cost estimate, leveraging standard processes

- Articulate the Retail / CPG domain analytics capabilities in RFx responses

- Pull together capabilities in different Functions (BI, BPO Reporting services, Big Data, Analytics, etc.) under a single unique Analytics value prop that we can showcase to clients

Revenue Growth :

- Collaborate as a key member of the Ops Analytics Practice supporting sales teams to represent the solution offering to the client and other internal teams

- Develop functional storyline (mapping functional need of the Client stakeholder) to showcase our capabilities during client visits

 EXPERIENCE / SKILLS / EDUCATION :

Work Experience :

- 12-14 years- experience in the Retail / CPG domain - extensive work experience in analysis of Merchandising, Supply Chain, Enterprise profitability, Store operations

- At least 4-6 years- experience in front-line business consulting, crafting solutions and delivering presentations to management teams

- At least 2-4 years- experience in building data models, basic statistical concepts and analyzing data & interpreting results

 Skills - Must Have :

- Excellent Data analysis and interpretation skills - proven skills in Excel modeling & analysis

- Strong story-telling skills to deliver recommendations from data analysis - proven skills in PowerPoint, in a business-case presentation context

- Fluent verbal and written communication skills, presentation skills,

- Self-motivated and takes ownership

- Project management skills

- Ability to work in ambiguous work environments

- Ability to prioritize conflicting activities

 Skills - Good to Have : 

- Hands-on experience with any of the analytical tools (SAS, R, Tableau, etc.)

- Skills in BI / DW and Data visualization

 Education :

- Post Graduate or MBA (preferred) from Tier 1 institutions with graduation in Engineering / Mathematics / Operations Research / Science