Landmark Group - Specialist - Loyalty Marketing

About Us :

- SPAR Hypermarkets in India is a result of a strategic partnership between Dubai based Landmark Group's Max Hypermarkets India Pvt. Ltd. & Amsterdam based SPAR International.

- The company started with one store in 1932 and now comprises of 12,500+ stores in 44 countries across 4 continents. The success story of SPAR has been underpinned by a set of values that have guided the organization since its inception which was more than 80 years ago.

- At the heart of these core values is the commitment of SPAR stores worldwide towards Freshness, Choice, Value, & Service.

- SPAR India currently has 24 stores across 9 cities; Bengaluru, Mangalore, Shimoga, Chennai, Coimbatore, Hyderabad, New Delhi, Gurugram, & Ghaziabad.

- We are looking for Rockstar's in our marketing department.

Your key responsibilities:

To drive actions on:

- Customer Segmentation and Behavioral Analysis

- Merchandise Penetration

- Customer Acquisition from Internal/External Sources

- Customer Activations

- Customer Retention

- Customer Winbacks

- Manage multiple campaigns across all the above across multiple geographies with external & internal partners.

- Work closely with operations teams across the country to drive loyalty membership, track and course correct

- Work with Merchandise teams on offer generation and delivery of offers to customer with conversion tracking.

- Work with external analytics company along with Senior Manager to drive share of wallet across Offline and Online across all customer segments

- Preparation of monthly reporting on Customer Loyalty Programme KPI's and assessment

- Manage all collateral production, implementation across all stores.

- Develop Products like SPAR Genie and SPAR Wallet to improve Loyalty

Our ideal colleague :

- MBA Sales & Marketing , In the Loyalty team of leading retailers

- Must be comfortable working across functions

- Process and Data driven - Must be very strong in communication

- Should be a people person and should be comfortable working in a retail scenario with different teams across the organization

- Must be familiar with popular segmentation concepts like K means, RFM, Churn, Propensity, CLTV

- Experience of 7 to 11 years of which at least 5 years in a customer analytics environment, consulting experience will be an advantage.