GrabOnRent - Business Analyst

GrabOnRent is an energetic start-up that aims to disrupt the sharing economy in India by creating an alternative way of consuming products, other than buying. At the heart of the company, resides a group of passionate individuals creating awesome experiences for its consumers by making a variety of products available for rent like never before.

We are looking for a talented, driven, self-directed Business Analyst to help us extract meaning from large volumes of data to make the right business decisions. This is a unique opportunity to play a key role in a fast-growing business. Analysts will streamline business metrics reporting and derive insights that are business impacting. The goal is to enable the business with relevant insights to take faster and smarter decisions.

An ideal analyst is one who enjoys discovering and solving complicated problems, likes to work with numbers, and takes pride in organizing and communicating his work. The individual in this role must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity. The candidate should also have strong communication and project management skills, enabling them to work with key business stakeholders to understand requirements and shape analytical deliverables. Maturity, high judgment, and bar-raising analytical acumen are critical to success in this role.

Responsibilities:

- Integrate and mine large data sets, connecting data from disparate sources to identify insights and patterns using traditional as well as predictive analytics. Your insights will provide actionable recommendations that drive business decisions.

- Perform deep-dives to find root causes behind variances of key parameters over a given time-period.

- Create and manage dashboards, including all back-end data acquisition and visualizing the data.

- Ensure the high performance and availability of dashboards while setting a high bar for Data Integrity

- Conduct data analyses with the appropriate statistical approach (regressions, factor analyses, etc.).

- Liaise with software teams and work closely with businesses stakeholders to understand data needs and design solutions to address the needs.

Requirements:

- 2-4 years of experience in data-analytics; experience in the e-commerce industry is preferred.

- Sharp aptitude and excellent numerical acumen; ability to sift through large volumes of data.

- Knowledge of statistical tools and techniques.

- Proficiency in R/Python and Excel.

- Experience in SQL and manipulating large data sets in a database.

- Proficiency in data visualization and presentation; experience with Tableau is a plus.

- Polished written and oral communication skills with the ability to present and clearly explain data to non-technical audiences.

- Strong bias for action and a "get it done" attitude.