Business Analyst - Analytics/SAS/Data Mining - Retail/eCommerce

Skills & experience includes:

- Bachelors/ Masters in Mathematics/Statistics/Computer Science or related technical degree. MBA preferred. From top tier institutes

- 5-6 years or more of career level work experience in analytics, data mining preferably in eCommerce/ Retail domain

- Strong SQL skills (Oracle, SQLServer) for querying and maintaining databases. Strong Excel (e.g., look-up functions, pivot tables, advanced functions, statistics) skills.

- Excellent business judgment, analytical and problem solving skills, and experience applying these skills to analyze large, complex, multi-dimensional data sets.

- Good understanding of methods used to define and analyze data requirements needed to support the business and statistical analysis.

- Mental flexibility, including ability to dive very deep into details of the data to ensure quality, while understanding the big picture objectives of a given project.

- Superb verbal, written, and presentation skills. Ability to team with and influence people at all levels across functions is required

- SAS/ R programming experience preferred. Familiarity with Tableau a plus

Duties and Responsibilities:

- Our customers use our product platform to make critical pricing decisions. Your key goal is to ensure that we move the needle w.r.t Client KPIs and continuously showcase the value of Boomerang Commerce platform.

- You must possess business acumen as well as analytical depth to create hypotheses, analyze data and validate your hypotheses using advanced analytical techniques.

- You should ideally have an understanding of the ecommerce domain and of pricing economics in retail. You would be expected to define and drive pricing strategies for top retailers worldwide and create a knowledge base for such strategies.

- Besides this, you should be able to develop complex mathematical/data mining models to help develop strategies that can disrupt the way omni-channel retailers do business today

- You must have an in-depth understanding of application of Data Mining to eCommerce and Pricing Data and should be able to set up models to gather intelligence from raw data.

- The ideal candidate should be able to create Price and Marketing Elasticity models across products, categories, geographies and customer segments.

- Further, the candidate should be able to incorporate market feedback into the pricing model to maximize impact.

Srishti Tandon