Manager - Analytics - BFSI/Retail/Telecom

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

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 onsite offshore 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 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 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

Competences 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 - one or more

- Expert at Excel and/or VBA

- Expert at solution design and storyboarding using PowerPoint - Mandate

- Comfortable with statistical applications, Machine Learning & Deep Learning models

- Familiarity with statistical packages - R and/or Python; PySpark, Scala is a plus. Ability to guide team to write optimized codes

- Familiarity with big data environments - Hadoop, Hive, etc