Business Analyst - R/SAS/Python - Pricing & Assortment - Retail

Job Responsibilities:

- The ideal candidate would be adept at understanding customer's business challenges. This would require analyzing online retailers and present such findings to senior members of the client team.

- This is a hands-on lead role

- Develop and maintain reports to monitor business health. Execute adhoc business analytics project.

- The candidate would require being involved in analyzing large volumes of data.

- The candidate would be involved in Statistical Modelling & Optimization processes.

- Will be required to understand Pricing & Assortment analytics.

- Will be required to write/modify existing SQL queries and pull data from multiple sources to execute such analysis.

- He / She would be responsible for creating reports, dashboards etc.

- Should understand and possess experience in working on statistical techniques like regression, segmentation, cluster analysis etc. Should be able to discuss and map a business problem to the right statistical method.

- Required to study, clean data and recommend actionable root causes of issues.

- This role requires excellent communication skills. Additionally should possess the ability to confidently socialize business recommendations and enable customer organization to execute such recommendations.

Knowledge, Skills and Experience:

- Should have strong knowledge of with Regression Modeling (including Linear and Logistic), Customer Segmentation, Machine learning, Integer programming, Clustering, Statistical tests, Network analysis etc.

- The candidate should have expert hands on any one of the following: R / SAS / Python.

- Experience with programming languages like C/C++/Java is plus

- Should have worked with R in at least 1 project.

- Strong knowledge of Advanced Analytics Delivery Management processes, tools, onsite-offshore engagement model.

- Should have experience on working in Onsite-offshore model.

- Possess strong SQL skills so as to write queries to extract data from large data bases.

- Should have strong knowledge of SAS/R for executing the analysis.

- Proven experience of using large data for providing Analytics solutions.

- Possess knowledge of Hypothesis testing and A/B Testing.

- Should possess above par communication and presentation skills and be able to write insights from analysis findings which in turn can be effectively communicated to the customer.

- Must have the proven ability of delivering top quality projects/business analysis in high pressure situations on time, every time.

- Experience in Retail domain is an added advantage.