Chief Intelligence Officer - Data Science & Analytics

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View: 109

Update day: 06-05-2024

Location: Gurgaon Haryana Mumbai Maharashtra Delhi Union Territories Bengaluru / Bangalore Karnataka

Category: R & D

Industry: Analytics KPO Research

Position: Head/VP/GM - Analytics & BI

Job type: Full Time, Permanent

Experience: 8 - 12 years

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Job content

Roles and Responsibilities

Chief Intelligence Officer [CIO]

Responsibilities :

- Build out the entire analytics and visualization suite to monitor and assess all aspects of our business.

- Champion awareness of data indicators within the organisation and help everyone to proactively identify data patterns, growth trends and areas of improvement.

- Leverage complex data algorithms and numerical methods for forecasting, simulation and predictive analysis, designed to optimize key decisions and metrics such as retention, engagement and operations.

- Gather, analyze, identify and lead actionable data insights to solve real complex challenges, and build the most successful web/mobile platform for organisation.

- Envisage the future analytical needs of the organisation & start creating the corresponding statistical framework.

- Translate the business problem into analytical problem and give the corresponding understanding to the team.

- Work with all teams in the company to understand, plan and drive data based actionable decisions, championing the Data Science culture.

- Use various machine learning strategies to model and forecast consumer dynamics as well as business performance indicators using both spatial and non-spatial data sources

Skills & Experience :

- MBA or advanced degree in a quantitative discipline.

- 10+ years in Data Science and Analytics execution, with specific experience in all stages - gathering, hygiene, and analysis of data resulting in actionable insights for end-to-end product, marketing and business operations.

- Knowledge of advanced analytics and market research approaches, including but not limited to Regression, GLMs, survival modeling, forecasting, machine learning, decision trees etc. using statistical or analytic tools like SAS, R etc.

- Ability to work with various teams in a complex environment, ensuring timely delivery of multiple projects.

- Highly analytical with the ability to collate, analyse and present data, and drive clear insights to decisions that improve KPIs.

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Deadline: 20-06-2024

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