Director - Analytics - Captive Unit

Director Analytics

The role is with the captive unit of a Global Industry leader in Bangalore,

Key Result Areas

- Collaborate with internal and external stakeholders to understand the client's business situation and develop data driven insights that can be understood and implemented to drive marketing strategies

- Align to the overall business strategy when driving the direction of the team, projects, and processes

- Manage the allotment of multiple resources and projects concurrently to ensure successful completion of analytic projects

- Account for the overall management of analytic projects; including profitability, timeliness, quality and client value

- Formulate insights, championing and driving insights into action

- Oversee presentation creation that provides actionable insights and recommendations

- Explore and capitalize on opportunities to cross-sell and up-sell existing clients

Person Profile:

- Bachelor or Master's degree in a quantitative discipline

- A minimum of 10 years professional hands-on experience with statistical modeling, data mining, and advanced segmentation using large marketing databases

- A minimum of 5 years proven managerial or supervisory experience

- Proven experience managing and delivering a wide variety of analytic solutions to internal and external stakeholders

Extensive experience in :

- Digital Marketing Analytics- Web Analytics, Mobile Analytics, Multi- Channel Analytics, Customer Experience Management and Site Optimization

- Customer Loyalty Solutions

- Customer Lifecycle Analytics

Someone who has worked on solutions for - Loyalty, retention, price & Promotion, targeted communication/ campaign management,

Ideally someone with :

Advanced degree (Masters/PhD) in Statistics, Economics or other quantitative discipline

- [Industry-specific] marketing experience/knowledge

- Demonstrate superior leadership to the broader business and internal team

- Excellent coaching and mentoring skills

- Hands-on programming experience in SAS, SPSS, or related language

- Knowledge of data visualization tools

Travel : 10%-20%

- Ability to program in newer and emerging languages such as R and Python; working knowledge of Hadoop and other big data technologies