Amazon Business Analyst eCS Data Engineering Analytics Team 

India, Karnataka, Bengaluru 

644294406

The complexity of research and skills for a Business Analyst is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, HTML, Java, and R, or other similar coding languages. Proficiency in the aforementioned languages is not required, but an ability to be a quick learner and gain proficiency is required for a successfully candidate. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.Key job responsibilities
An ideal candidate for this role:
· Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies· Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format· Will draw inferences and conclusions, create dashboards and visualizations of processed data
· Will have excellent business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately
. Will be very comfortable juggling competing priorities and handling ambiguity

- 3+ years of analytical field experience
- 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 3+ years of business or financial analysis experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Experience with Excel