Associate - Retail(Generic)

WHAT YOU LL DO:

• Contribute as a member of the team to build / perform solutions within Retail domain (Grocery, Apparel, General Merchandise, e-commerce, B2B retail, etc.)
• Own complex workstreams with support from supervisors (Project Leader / Managers / Senior Managers)
• Interpret, understand and break down client requirements into actionable task items for the team
• Execute and deliver outputs to clients by collaborating with peers and overseeing a workstream with 1-2 analysts
• Work with different analytical tools with focus on building expertise in Tableau / Power BI, Alteryx / KNIME, SQL, Python / R, Excel and PowerPoint
• Ensure timely, high quality, error-free analysis by performing sound data and reality checks
• Generate insights, hypotheses and come up with solutions for the pertinent issues
• Lead meaningful and focused meeting and effectively Communicate data, knowledge, insights & implications with clients and Bain stakeholders
• Work well in a team setting, understand the key aspects of delivery and deliver them with direction from senior team members
• Seek and provide actionable feedback in interactions

ABOUT YOU:

• Candidates should be graduates / post-graduates with strong academic record
• Work experience range in case highest qualification is undergraduate studies -2-4yearsof relevant experience in global MNC environment with exposure to management consulting, business analytics, or CP/R industry domains
• Work experience range in case highest qualification is postgraduate studies - 1-2yearsof relevant experience in global MNC environment with exposure to management consulting, business analytics, or CP/R industry domains
• Must have strong communications skills, should be able to drive discussion / presentations with senior stakeholders and client maps
• Must have knowledge of ETL / visualization tools such as Alteryx / KNIME / SQL/ Python and Tableau / Power BI
• Must be proficient with Excel and PowerPoint
• Must have experience in applying advanced analytics to a range of business situations and a proven ability to synthesize complex data to generate simple & clear insights
• Good to have knowledge of R, experience with MS Azure/ Amazon Web Service
• Good to have statistical modelling experience
• Good to have knowledge of key data sources and metrics pertaining to the Retail industry with experience in one or more sub-sectors within Retail