Roles & responsibilities:  - Pre-sales, solutions, sales, Business/Account teams, Client relationship person, Clients, etc.   - Any other working relationship identified with any team within the organization  - Ability to clearly communicate with clients and internal peers  - Understand client's requirements and objectives of the project  - Create high value solutions using techniques like data mining, predictive modelling, etc. based on either structured or unstructured or both types of data to address client's business challenges  - Provide documented response to the RFP/RFI and other requirements  - Write white papers / generate new ideas on hot topics and current analytical issues  - Identify business challenges, translate it into analytical framework and propose a structured solution in line with the business objectives by using data driven analytics  - Suggest appropriate technique / methodology, data requirements, effort estimation, etc. for the business challenges  - Technically mentor the execution of PoCs, pilot and delivery projects  - Highly self-motivated and professional. Ability to consistently meet deadlines and deliver high-quality materials. Ability to work in a fast-paced environment.  - Should be driven to continuously innovate with newer statistical techniques and demonstrate the same.  - Good interpersonal skills, with the ability to develop strong working relationships and effectively influence all levels of business  Experience Required:  - Master- s/Ph.D degree in quantitative fields such as Mathematics/ Econometrics/ Statistics/ Computer Science/Engineering or related fields from premier institutes  - 7+ years of experience as a statistical analyst or in a similar role utilizing predictive analytics or data mining techniques for solving business problems  - Previous experience in text mining or statistical modelling is must   - In-depth understanding of econometric and statistical analytical techniques such as regression analysis, statistical inferences, random forest, neural network models, multivariate analysis, time series forecasting, clustering, classification etc. are required.  - Must have extensively worked on various packages of R/Studio/Shiny, modules of SAS like SAS Base/Macro/Stat or Python/ Shell Scripts, etc.  - Knowledge in Tableau, QlikView, etc. BI tools is a plus  - Must have experience in designing, developing, and providing solutions for multiple domains or industry verticals  - Flexibility to work with different countries (time-zones), groups, and business environment  - Experience working with large datasets is an advantage  - Experience working with Artificial Neural Network Models is an advantage

Bangalore

Presales Manager - Analytics 

Presales Manager - Analytics  ,Job Description for Presales Manager - Analytics  in Crescendo Global in  Bangalore for (7-12) years of experience. Apply Now!

Job Description for Presales Manager - Analytics  in Crescendo Global in  Bangalore for (7-12) years of experience. Apply Now!