Manager - Analytics - KPO

Designation: Manager

Experience: 6 years - 10 years

Education requirement: B. Tech/BE or MSc or MBA or MTech in Stats, Economics, Mathematics, Finance or any other quantitative discipline

Role Description:

Primary Role:

- Lead multiple cross-functional projects, at any given time, using advanced analytics practices to discover insights that will guide strategic decisions and uncover optimization opportunities 

- Capable of handling conversations with clients and onsite counterparts familiarity with the onsiteoffshore working model

- Providing intellectual leadership to individual project teams in creating, delivering and implementing solutions 

- Brings onto the fore, substantial domain knowledge on any domain, and capable of applying analogous aspects to other domains as well

 - Prioritizing tasks within a project, task allocation across resources capable of evaluating resources by their skills and improvement areas - prioritizes resource development 

- Capable of planning resource development over a period of 12-24 months

 - Contributes to org-level activities such as sales collaterals, designing proposals, guiding teams through Proof of Concepts and mock projects 

- Recruit, train, develop and supervise a team of Analyst/Senior Analyst/Consultant/Tech Leads

 - Anticipate future demands of initiatives related to people, technology, budget and business develop plans for the same 

Competencies Required:

 - Relevant analytics experience with SME level expertise in any Industry 

- Strong ability to plan and manage numerous processes, people and projects simultaneously

 - Excellent communication, collaboration and delegation skills

Competencies Required:

- Relevant analytics experience in Retail, e-commerce, Telecom, BFSI or any domain 

- Decent amount of domain expertise on any/all the domains 

Technical Capabilities :

- Expert at Excel and/or VBA 

- Expert at solution design and story-boarding using PowerPoint 

- Comfortable with statistical applications advanced machine learning is a plus 

- Familiarity with data extraction and cleaning tools - SQL/Hive etc. Ability to guide the team to write optimized queries.