Digital - Associate Program Manager - Analytics Consultant

Skill Required:

Advanced Analytics, Predictive Analytics

Description

About eClerx:

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.

eClerx Digital:

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:

• Display strong communication skills [written and spoken] with an ability to engage clients from the C-suite to marketing managers and understand business requirements and convert the same into technical / modeling problems for developing solutions, and deliver results in a time-bound fashion
• Ability to articulate results of statistical models and complex technical concepts in business language
• Demonstrate strong analytical and storytelling skills and the ability to find relevant insights from piles of reports, followed by interpretation of the analytical results, presentation and recommend next steps to client
• Define project scope and deliverables that support business goals; collaborate with delivery team and analytics practice lead to deliver projects
• Lead from the front by designing and developing innovative solutions to complex, challenging and first-of-its-kind problems
• Create templates for reports and visual presentations
• Audit deliverables to make sure that they are accurate and meet requirements by critically examining the data
• Travel to client locations internationally, as per the requirements, for scoping, reviews, workshops and so on

Technical and Functional Skills:

• Demonstrated knowledge of analytical and statistical techniques and their applications
• Expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models and so on
• Expert in handling large data, cleansing and preparation for modeling
• Working knowledge of SAS, R, and / or SPSS and its respective libraries
• Domain knowledge of at least one vertical amongst Retail, Cable, Technology

General skills that will boost your eligibility:

• Knowledge of VBA / SQL
• Knowledge of data visualization tools (Tableau, QlikView, etc.)
• Prior experience in a consulting role