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 -2-4 yearsof 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 - 1-2 yearsof 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