Role Description:

- This position is expected to lead/perform analytical and statistical work in multiple marketing analytics areas including design of experiments( DOE), marketing mix modelling, measurement of marketing campaigns across multiple channels (such as email, web, phone reps, etc.), attribution analysis and other areas as required

- Strong analytical skills, ability to draw out insights, answer the - so-what- & - what-if- and propose actionable recommendations

- Effective presentation and story boarding skills with exposure to executive level presentations

- The candidate is responsible for mentoring and/or managing a team of analysts team and enhance the statistical rigour in the current focus areas of the team

- The candidate is expected to have subject matter expertise in core statistical concepts and demonstrated statistical/ econometric modelling skills using tools like SAS eMiner, R or other statistical modelling software

- Expected to have in-depth understanding of techniques like ANOVA, structural equation modelling, time series econometric modelling

- This position will be working in close co-ordination with the Campaign Operations, Direct Mail Programs and Integrated Marketing teams in India and US to evangelize statistical initiatives for improving marketing effectiveness

Candidate Description

- Ability to understand business problems and design advanced statistical and analytical solutions independently

- Demonstrated expertise in techniques like Time series regression, Hierarchical Linear Models, Structural equation, ANCOVA, ANOVA, Full factorial design, Fractional factorial design etc.

- Exhibits high degree of pro-activeness in analysing customer behaviour to influence change in the direct marketing and media strategy

- Experience in mining data using SAS/R/SQL

- Experience in unstructured data analytics would be a plus

- Ability to provide insights and recommendations using strong analytical skills; striving to convince key company decision makers of business benefits of the proposed solutions

- Experience in extracting, organizing and analysing customer level data and derive actionable insights

- Effective presentation and story boarding skills with exposure to executive level presentations

Behavioural Attributes

Excellent communication skills and ability to interact with all levels of end users and technical resources

Education and Experience

- Masters/PHD in Analytics or related subject from a reputed university

- 11-13 years of overall Analytics experience

- Financial services/ Retail industry experience preferred

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