The candidate will work closely with client facing teams and or clients directly and will be responsible for specific responsibilities in one or more of the following areas :

Position Responsibilities

- Support teams as the - analytic lead- on projects

- Analyze quantitative data and turn into actionable solutions / insights for clients

- Emerge and gain recognition as the internal - expert- in 1-2 functional/therapeutic areas

- Manage time and client deliverables effectively with regular communication to senior management

- Coordinate and oversee project-based activities for Associates

- Participate in recruiting efforts, together with providing training and mentoring support to additional and/or more junior staff

- Serve as primary point of client contact for ongoing activities

- Create and manage client proposals and presentations

- Fulfill other related roles as assigned from time to time

- Excellent understanding of Pharma data sets - commercial, clinical, EMR ( Electronic medical records)

- Leverage ones hands on experience of working across one or more of these areas such as real world evidence data, R&D clinical data, digital marketing data

- Analytics enablement (dash-boarding, tool development)

- Strong business acumen

- People management responsibilities

- Strong project management skills

- To actively engage in knowledge learning, sharing and storing. Steep learning curve and adapting to new client situations quickly and work under a competitive environment

Excellent communication skills :

- Ability to summarize the essence in speech & in written communication

- Ability to influence and lead others

- Adhere to the firm's standards on ethics, code of conduct and values

Qualification:

- Engineering from reputed college or equivalent with strong work experience in lifesciences and statistical analysis

- Master's degree in Business Administration from a reputed college or equivalent,

- Statistics / Operations research masters from reputed college or equivalent

Requirement :

- Should have business acumen, take initiative and be self-driven

- Strong conceptual knowledge on statistics

- Should have hands on experience in working on advance analytics projects involving statistical models like logistic regression, Cox proportional hazard model etc.

- Very good Microsoft Office (Excel and power point ) skills

- Need to have worked with lifesciences data sets (R&D, Commercial, real world)

- Experience in requirements gathering and design for BI/analytics

- Experienced in working with people from different geographies (e.g. USA, Europe etc.)

- Strong Client facing skills

- Able to build and own relationships

- Ability to drive small scale projects

- Creative problem solving skills

- Strong business and technical knowledge accountability

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