Tredence - Manager/Senior Manager - Analytics

Manager / Senior Manager - Analytics

Responsibilities:

- Undertake full ownership of a client relationship at various junctures ; mining leads, building credibility during pre-sales activities, leading several pilot projects simultaneously while managing full-scale engagements and working in large teams (~30 people)

- Become a trusted thought partner for clients. Ability to bring thought leadership to the domain and functional areas

- Ability to think newer ways of solving problems

- "Program management" mindset to recommend clients of strategy and roadmap to drive business impact

- Take ownership and ability to assess revenues / margins

- Undertake full ownership of driving several client assignments, with project teams reporting to him/her or without direct reporting structure

- Engage with clients and business partners to understand their requirement, identify their challenges

- Appreciate project brief

- Bring in external thought leadership and engage with senior client personnel

- Translate business problems into analytical brief

- Create solution framework and identify hypothesis for validations

- Work with team members to test these hypothesis

- Bring out discovery elements in the process

- Story-board relevant insights

- Create crisp and impactful presentations

- Drive last mile actions

- Conduct value engineering to ensure that the implementation did drive business impact

- Lead and manage the onsite-offshore relation, at the same time adding value to the client.

- Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization. Build and grow the organization through pre-sales, operations, and training enablement

- Actively participate in business development and account mining through proof of concepts and point of views

- Develop and mentor team members

- Be comfortable with rolling up sleeves and get hands dirty with data, technology, analysis, and slides.

- The candidate must understand the usage of statistical techniques for solving business problems and appreciation of how data is used for decision making.

- Must have knowledge of emerging technologies used in companies (e.g. IoT, Block Chain, Cloud, ERP, CDP etc.). The candidate must possess required soft skills to work with teams and lead medium to large teams.

- Candidate should be comfortable with taking leadership roles, in client projects, pre-sales/consulting, solutioning, business development conversations, execution on analytical projects.