Senior Manager - Marketing Analytics - BFSI

Marketing Analytics - Sr. Manager

Reporting : Director

Education :

Master's in Economics/Business/Marketing Science/Econometrics

Responsibilities :

- Engaging with the business heads to understand Company's sales and marketing context.

- Identifying opportunities where business growth and profitability can be driven through deeper understanding of customer behaviour and sales drivers.

- Designing solutions and developing insights through analytics.

- Interpretation of results and segment analysis.

- Engaging with sales and marketing colleagues to review, challenge and refine the results to achieve actionable output.

- Works with channel heads and other marketing sponsors to identify opportunities for enhancing sales and profitability or to address specific problems.

- Proposes solutions to solve strategic, tactical, structured, and unstructured business problems, e.g. growing trades, optimizing marketing-mix, marketing ROI, general measurement methodologies.

- Full lifecycle management of analytics engagements.

- Work independently on complex statistical analysis such as response and look-alike modelling, long-term value modelling, sub segmentation, marketing optimization, experimental design, complex campaign analysis, and strategic analysis.

- Provides mentoring, coaching, and consulting advice and guidance to staff, e.g. analytic methodologies, data recommendations.

- Evaluates/develops, tools, methodologies or infrastructure to support long-term business problems and take the group to the next level, e.g. modelling software, modelling methodologies, data and system requirements, scoring process, optimization environment.

Experience :

- At least 8-10 years overall experience preferably in Financial Service industry.

- At least 3-4 years experience in sales and marketing role with focus on customer segmentation and targeting, campaign management with cross-sell/up-sell targets.

- 3+ years of hands on experience in - Statistical Modelling / Data Mining techniques such as Clustering, Logistical Regression, Decision Trees, etc.

- Should be able to run analytics applications such as SPSS, SAS, R and interpret statistical results.

- Preferable if data mining experience is in area of customer value management / marketing and has worked on designing cross-sell campaigns.