EasyRewardz - Delivery Manager - Customer Intelligence & Analytics

About Easyrewardz :

EasyRewardz is a leading customer experience management company. Provides end-to-end customer engagement solution to 100+ brands across 3500+ retail oine stores. EasyRewardz has presence across all key Retail verticals - Apparel, Fashion, Luxury, Food & Beverage, Travel and Entertainment, Wellness, and Banking.

Key capabilities of EasyRewardz proprietary technology platform include :

- Customer loyalty program as an end to end solution.

- Platform for intelligent and meaningful engagement with brands- customers.

- Analytics engine to enable brands to engage in Personalized conversations with consumers.

- EasyRewardz provides customer experience management solution on SaaS basis to provide a unified view of the consumer at multichannel level.

Why EasyRewardz?

- Machine Learning, Personalization, Marketing Automation, Consumer Preferences - these terms get real at EasyRewardz. If you are looking for a career option that allows you to innovate and do things dierently then EasyRewardz is the place!

- We are a fast-growing organization and our journey has been fantastic, where we believe we have shaped a lot of young minds, and together we are driving retail excellence by influencing customer behavior.

- More can be read about us at: www.allaboutrewards.com

Who are we seeking?

Like minded individuals with an entrepreneurial mindset, with passion to learn and excel. We value - Performance- and - Performers- .

Delivery Manager - Customer Intelligence & Analytics

- We are looking for an exceptional leader with an aptitude for modern technologies who loves to push the boundaries to solve real business problems. Our data development team that implements the CX stack of our product suite (http://www.allaboutrewards.com/Decision-Analytics.html) is growing and we are looking for a leader to lead a core team of data developers who help us implement several ML/AI algorithms to create exceptional personalized customer experiences & conversations to influence customers- transactional behavior.

- The role requires providing strategic vision to our team of strategists who create insights from the consumer, transactional & SKU data generated from our platform implementations & converting them to product features & extensions of our CX stack.

Responsibilities :

- Work with a team comprising of Data Analysts, Data Strategists, Big data developers & Data Scientists.

- Nodal contact for all product & service deliveries related to Analytics Strategy & Product verticals.

- Provide strategic leadership to help build the CX stack of our Enterprise product suite.

- Play an active consulting role for our Enterprise clients to best adopt & implement our product suite. This can be at any point in the customer lifecycle.

- Keep up-to-date with the latest technological advances in the Apache Spark community, ML/AI stacks & sharing the same with the team.

- Liaison with key business stakeholders & maintain multiple stakeholder relationships at all levels

- Monitor market & industry trends for Enterprise buyer personas, competitive propositions and help develop marketing programs with relevant teams.

Experience & Skills :

The successful applicant will :

- Have an in-depth understanding of Enterprise SaaS Data Analytics & visualization applications like Tableau, Alteryx etc.

- Be data-driven, analytical and strategic

- Have proven global experience

- Have previously worked in a matrix organization

- Have worked in client facing strategy consulting role.

- Technical skills or qualification should include:

- Proficiency in R/Python with modelling & implementation experience in some of these methods: Regression, Decision Trees, CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Fuzzy Systems, Bayesian Belief Networks, Support Vector Machines, Ensemble Methods, Association Rules, Singular Value Decomposition, Principal Component Analysis, Cluster Analysis

- Experience in some of these statistical applications: Collaborative Filtering,

- Personalization, Consumer Segmentation, NLP, Text Analytics, Information Retrieval, Search Relevance.

- Familiarity with time-series analysis and implications on how to model and test

- Solid data management and statistical modeling skills using the following tools: Python/R, MySQL/Cassandra and Excel

- Understanding of Big data technologies & analytical stacks - Java, Spark/Cassandra is a plus.

- Driven, High Energy, Can-Do attitude

- Strong business acumen, analytical competency and influencing skills.

- Able to focus on the detail as well as the bigger picture.

- Excellent budget & project management skills

- Excellent writing, editing and communication skills.

- Team & task management in an Agile product development process.