Business Analyst Support

Job description

DESCRIPTION

Founded in 1994 and headquartered in Seattle, USA, Amazon has grown to be a Fortune 100 company and a global leader in e-commerce. With a mission “to be Earth’s most customer-centric company, where customers can find and discover anything they might want to buy online, and endeavors to offer its customers the lowest possible prices,” Amazon offers millions of items to our customers from tens of thousands of sellers.

Technological innovation drives the growth of Amazon to offer customers more types of products, more conveniently and at lower prices. Since 1995, Amazon has significantly expanded its product selection, international retail websites, and worldwide network of fulfillment and customer service centers. Amazon’s evolution from Web site to e-commerce and publishing partner to development platform is driven by the spirit of innovation that is part of the company’s DNA.

In 2016, we launched Amazon Now, a new platform to bring everyday grocery selection along with Amazon's best sellers to our customers in 2 hours through neighborhood mom-and-pop stores. We have exciting plans to continue to innovate for our customers and sellers by offering ultra-fast delivery for a variety of products. To get there, we need exceptionally talented, bright, and driven people. We are looking for a dynamic, organized, and customer-focused Business Analyst (BA) who is interested in guiding key business decisions.

The person would be part of the Category team in the Amazon Now team, and play a key role in driving projects across multiple initiatives related to marketing, product and category. The key tasks would be to analyze sales, traffic, other business data to help teams prepare for business reviews. He/she will be responsible for helping category managers with growing the overall business providing decision support through data analysis and business insight.

This role requires an individual with excellent understanding of SQL and query development, good business acumen and the ability to work with quantitative and business teams. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and driven by a desire to innovate in this space.

The Business Analyst position is based in Bangalore.

PREFERRED QUALIFICATIONS

· Proficient with statistical tools like R and statistical techniques like Regression, Cluster Analysis etc.
· Proficient with reporting tools like Tableau.
· Master’s degree is preferred but not mandatory (Business, Engineering, Statistics, Computer Science, Mathematics or related field)

Desired profile

BASIC QUALIFICATIONS

Responsibilities
· Identifying, developing and executing data analysis to help marketing, product and category functions create more business impact.
· Presenting written recommendations and insights to key stakeholders.
· Shaping and informing key metrics and indicators by which leadership will assess its performance.
· Learn and understand a broad range of Amazon’s data resources and know how, when and which data sources to use.
· Deep dive into massive data sets to answer key business questions using MS Excel, Oracle SQL and other data manipulation languages.
Basic Qualifications
· Bachelor’s degree in Engineering, Mathematics, Statistics or similar quantitative discipline.
· Technical skills – Strong proficiency in SQL, Microsoft Excel, and statistical analysis tools and techniques.
· 2-5 years of experience in hands on Analytics, dash-boarding, querying
· Strong Analytical skills – has ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusion relevant to the business problem.
· Communication skills – ability to communicate (written and spoken) in English. Demonstrated ability to communicate complex technical problems in simple plain stories. Ability to present information professionally & concisely with supporting data.
· Ability to work effectively & independently in a fast-paced environment with tight deadlines.
· Ability to engage with cross-functional teams for implementation of project and program requirements.