Work within an advanced analytical team to prove-out and build data models that enable the next generation of sophisticated pricing solutions for global retailers.
Extend our framework to create a true individualized shopping (price and promotional) experience for consumers based upon individual behaviors, preferences and brand loyalty.
Apply state-of-the-art statistical modeling and data mining techniques to large amounts of noisy, complex real-world transactional data
Scope and assist in the development of analytics.
Distill actionable insights from the analysis to offer client ready business recommendations by identifying meaningful consumer indicators and trends.
Ensure your work is disciplined and that you adhere to our quality control procedures.
Support the development and launch of new products and services
Present your analysis and recommendations to internal and external clients.
Build relationships with key internal and external clients
Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts
Strong Business understanding
Ability to engage in Business discussions
Advanced Degree in Mathematics, Computer Science, Machine Learning, Advanced Economics, Statistics or Quantitative Analysis
Strong programming skills with knowledge of some or all of the following: SAS, R, Java, C, C++, PMML, SQL, Script Languages
Prior experience with pricing and or promotional modeling/analysis with respect to Brand, Channel and Promotional Strategies for consumer products
Knowledge of other advanced analytical techniques. Specifically working knowledge of concepts such as, Conjoint Analysis, Design of Experiments, Simulation and Segmentation techniques
Ability to understand, manage and navigate very large dataset, experience in Retail and CPG Industry would be an advantage