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APM/PM – (Predictive Analytics) – Mumbai/Pune (2-8 Years Of Experience)

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Experience : 2 – 8 years
Requirements :
Task Info :

Job Description and Responsibilities:

 2-5 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, demand forecasting, price optimization, time to event, survival analysis etc 

Mandatory Skills :

– Must be well versed with atleast one (1) of following tools – R, SAS, SPSS

– Must have good knowledge / hands-on experience of statistical concepts like hypothesis testing, distributions etc

– Must have good knowledge / hands-on experience of atleast some of the applied statistical techniques including multivariate regression, logistic regression, ARMA/ ARIMA, clustering, survival etc

– Excellent presentation and communication skills (written and verbal) and comfortable presenting at senior levels

– Conceptualize, design and deliver high-quality solutions and insightful analysis on a variety of projects ranging in both complexity and scope 

– Qualification: Masters in statistics/mathematics/economics or MBA from a reputed institute

Preferred Skills :

– Knowledge / hand-on experience of at least two (2) of the following tools – VBA, SQL, MS Excel, Tableau

– Ability to present results of statistical models in business language

– Experience for building predictive models for varied industries – Retail, hospitality, technology hardware, software etc

– Experience in handling large datasets

– Exposure to multiple statistical tools

– Excellent interpersonal skills – ability to network and earn confidence of diverse Client personnel plus interaction with management of eClerx India based operations team

College Preference : no-bar
Min Qualification : ug
Skills : arima, excel, logistic regression, multivariate analysis, predictive modeling, r, Retail Analytics, sas, spss, sql, statistical techniques, tableau, VBA
Location : Mumbai, Pune
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