Analytics Consultant at Boomerang Commerce
Bangalore, IN

Analytics Consultant


Imagine the questions you could answer and the impact you could have if only you had access to sales data for many of the top retailers.  If this possibility excites you, then keep reading because at Boomerang Commerce we not only spend our days wading through massive quantities of retail data, our analysts use it to drive pricing and more at many of the largest e-commerce sites.  Our software makes pricing and assortment decisions for top retailers but it takes a highly talented analytics team to ensure that our retailers realize the full potential of their data and our software.


We are looking for a Analytics Consultant with a highly entrepreneurial mindset with an ambition to grow into a people manager role in 6-8 months. Our goal is to grow our analytical team to have a presence in Bangalore and this first hire will set the stage for our success... This position is critical to the success of the organization and offers accelerated growth path. Within a year, the team is expected to add Analytics Consultant depending upon business needs who will be reporting to this SAC.


The role is centered around understanding and delivering analytical solutions using the Boomerang Platform, which translates to the following capabilities:

  1. Business problem solving:
    1. Understand the interplay between various data sources , Boomerangs analytical platform and customer needs.  Understand customer context in depth and translate it to outputs. Wear the business hat and present a point of view within a team of engineers, data scientists and data services team that ensures the final solution fits the business needs and is in a position to generate tangible impact to the customer.
    2. Ability to drive and present insightful approaches to better retail decisions independently: Have strong hypothesis, understand the data needed to conduct the analysis, perform the analysis, synthesize the outputs to an executive friendly format
  2. Technical expertise:
    1. Our products require technical expertise in manipulating large volumes of data into usable format through the extensive use of SQL, R ( and Python optional) to ensure that we can flexibly meet client requirements.
    2. Further expertise is needed to develop and deploy complex dashboards in Tableau to meet customers customized needs.
  3. Leadership: Everyday, sometimes every hour counts. Customer success is an obsession at Boomerang and the senior analyst would play the point person for the end quality and timely delivery of the solution. The role needs high ownership and leadership skills to rally a team from different departments, manage work dependencies from different contributors to successfully deliver the project.


Required Qualifications:

  • Extensive experience with data manipulation using SQL, moderate experience with analytical tools R  (Python is a plus), and moderate expertise in data visualization through Tableau
  • 3-5 years of prior experience both performing and structuring advanced analyses independently
  • Successful stint at a prior fast paced work environment (start-ups, consulting etc.)
  • Desire to get into the most granular details of technical/ implementation/ operational issues and being an individual contributor while being a mentor to reporting Pricing Analysts
  • Experience managing people - either formally or informally through cross-functional efforts
  • Bachelor’s degree required.
  • Reasonable understanding of statistical methods
  • Experience in developing and maintaining measurement metrics and standardized outcome metrics based on business requirements


Preferred Qualifications: (in addition to required)


  • Master’s degree in Analytics, Data sciences, or any quantitative discipline,
  • Experience with retail analytics, especially pricing, is a huge plus
  • High proficiency in building Tableau dashboards for business needs and to aid decision making
  • Proficient in application of Statistical Methods
  • Prior start up experience highly preferred.