Role: Analytics Consultant
Job Description:
Summary: Ideal candidate will be having hands on experience in developing predictive models in some of these areas - cross-sell/ up-sell strategies, market segmentation, churn & CLV modeling or price optimization etc, using tools like SAS & R
- Qualification: Masters in statistics, mathematics, economics, Engineering or MBA from a reputed institute
- Experience: 4-7 years of experience in advanced analytics/ predictive modeling. Candidate should have worked hands on in developing predictive models in some of these areas - cross-sell / up-sell strategies, market segmentation, price optimization, time to event, survival analysis etc
- Mandatory Skills:
- Ability to engage clients to understand business requirements and convert the same into technical/modeling problems for solution development
- Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists
- Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in SAS, R, Python and/or SPSS is a plus
- Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English
- Ability to present results of statistical models in business language
- Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology
- Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus
- Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports
- Preferred Skills
- Ability to manage specific tasks to completion with minimal direction
- Ideal candidate has been in a consulting role previously
- Supply Chain, Campaign/Marcom management and Sales lifecycle (lead, sales) experience would be plus
- Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models etc
- Ability to collaborate with onsite colleagues in the US& UK
- Expert in handling large data, cleansing & preparation for modeling
- Very high attention to detail and quality
- Knowledge of VBA/ SQL (preferred)
- Responsibilities
- Interact with clients and internal stakeholders to capture business requirement
- Define project scope and deliverables that support business goals; collaborate with delivery team and analytics practice lead to deliver projects
- Design analytical solution to client's problems, identify data requirements, develop plan and delivery results in a time-bound fashion
- Lead from front by designing & developing innovative solutions to complex, challenging & first-of-its-kind problems
- Create templates for reports and visual presentations
- Interpret the analytical results and create stories; present stories and recommended next steps to client
- Audit deliverables to make sure that they are accurate and meet requirements by critically examining the data
- Travel to client locations, as per the requirements, for scoping, reviews, workshops etc.
- Most importantly, the successful candidate will be a team player and collaborator within the eClerx community.
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