Job Description (Modeling & Strategy Analytics):
Role Description:
The position applies predictive modeling/data mining, optimization, advanced measurement, experimental design, and/or deep-dive strategic analysis to identify investor needs, provide business insights
Broad responsibilities would be:
- Data extraction: Extract data from appropriate sources in a complex warehousing environment. Require in-depth knowledge of data elements.
- Data processing: Perform complex data processing (e.g. merging, sorting, data transformations) using SAS, Access, or other ETL tools on PC or Linux
- Profiling and analysis: Combine in-depth business knowledge, insights, and techniques such as data visualization, cross-tabs, statistical tests, and data mining techniques to identify customer or prospect needs, behavioral trends, product preferences, and up-selling, cross-selling, and retention opportunities
- Model development: Apply standard and cutting-edge techniques (statistical modeling, data mining, predictive analytics, machine learning, optimization) to identify drivers of a business metric (e.g. campaign response, attrition, propensity to buy, multichannel marketing). Compare techniques using validation to arrive at the best model
Candidate Description:
- Data mining / predictive analytics / machine learning techniques
- Advanced statistics
- SAS (BASE, Unix, Stat, Eminer, Eguide, Model Manager)
- SQL/PostGres SQL
Behavioral Attributes:
- Excellent written and oral communication skills
- Strong interpersonal and customer skills
- Leadership skills
Education: Bachelors/Masters from reputed institutes
Shankar
Lead Consultant
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