India’s leading process management and data analytics companies, eClerx provides critical business operations services to over fifty global Fortune 500 clients, including some of the world's leading companies across financial services, cable & telecom, retail, fashion, media & entertainment, travel & leisure, software and high-tech. A publicly traded company for 10+ years on India’s leading stock exchanges, our 9,500 employees work globally through delivery centres in India, Thailand, Italy, and US. With revenues of $200 million, eClerx is one the leading innovative business process management companies.
The digital world is a continuously morphing landscape that is as exciting as it is limitless. And we’re here to add to its magic.
eClerx Digital is a global digital service provider partnering with the world's leading brands primarily in luxury & fashion, retail, high tech, financial services, automotive and travel industries. We deliver high impact consulting and value-based production resources to global clients looking to further their digital possibilities.
In an essence, eClerx Digital is a guild of 2500+ talented minds spread from Mumbai, Pune & Chandigarh to Verona and Phuket. Replete with a variety of strengths ranging from deep digital expertise to path-breaking support processes. We’re here to create value for our employees, customers, clients, shareholders and the world at large.
We’re looking to add to this talent pool an analytics consultant, who will help global brands make business-differentiating decisions on the back of the insight advantage.
The Ideal Experience Map:
Between 4 to 7 years of experience in advanced analytics and predictive modeling
The ideal candidate will have hands on prior experience in developing models and awareness in concepts that help define cross-sell and up-sell strategies, market segmentation, price optimization, time to event, survival analysis, churn and customer attrition, CLV [customer lifetime value] modeling, and price optimization, using tools like SAS and R.
Ideally, an attitude driven for complex project management, and an ability to display ownership and deliver data-driven projects and solutions with minimal direction.
Educational Qualifications: Preferably, Masters or a Post-graduate degree in statistics, mathematics, economics, engineering or an MBA from a reputed institute.
Roles and Responsibilities:
Technical and Functional Skills:
General skills that will boost your eligibility: