Details:

Handling Business and Data requirements

· Leads discovery processes with stakeholders to identify the business requirements and the expected outcome

· Models and frames business scenarios that are meaningful and which impact on critical business processes and/or decisions

· Identifies what data is available and relevant, including internal and external data sources, leveraging new datacollection processes

Data Analysis

· Develops innovative and effective approaches to solve client's analytics problems and communicates results and methodologies

· Works in iterative processes with the client and validates findings

· Develops experimental design approaches to validate finding or test hypotheses

· Validates analysis using scenario modelling

· Identifies/creates the appropriate algorithm to discover patterns

· Qualifies where information can be stored or what information, external to the organization, may be used in support of the use case. 

Communication & Presentation

· Presents and depicts the rationale of findings in easy to understand terms for the business

· Presents back results that contradict common belief, if needed

· Communicates and works with business subject matter experts and organizational leadership

Innovation

· Improves organizational performance though the application of original thinking to existing and emerging methods, processes, products and services. 

· Employs sound judgment in determining how innovations will be deployed to produce return on investment.

Typical Experience  / Education

· Bachelor degree in mathematics, statistics or computer science or related field; Master degree preferred.

· Typically 3-5 years of relevant quantitative and qualitative research and analytics experience.

· The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.

· Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java), and statistical modeling (like R or Python).

· Experience in using machine learning algorithms.

· Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms

Min. Qualification:

ug

Skills Required:

bigdata, forecasting, hadoop, machine learning, mapreduce, multivariate analysis, optimization, predictive modeling, python, r, spss, statistical modeling, statistics