Collaborate with engineering and operation teams to scale Amazon search service by identifying and tracking KPIs regarding efficiency and cost.

Search Capacity: Leverage advance analytics and predictive algorithms to create powerful, customer-focused search solutions and technologies.

Automate standard reporting and drive data governance and standardization. Structure high-level business problems within the framework of analyzing, defining, creating, and sourcing the data, producing metrics, and providing recommendations.

Finance Operation: Develop standard and ad hoc analysis and report for decision making.

Also, define and track KPIs, support strategic initiatives, evaluate new business opportunities, and improve/enhance decision making through data.

Alliance (Twitch): Leveraging advanced analytics in shaping the way deals performance is measured, defining what questions should be asked, and scaling analytics methods and tools to support Twitch’s growing business.

Generally, data analysts at Amazon help streamline the decision-making process through the analysis of data.ĭepending on the team at Amazon, data analysts’ responsibilities may include: Data analysts work with these teams to help bridge the gap between data and the decision-making process. As a result, Amazon has over 100 teams working in various areas.

Experience with AWS services such as RDS, SQS, or Lambda.Īmazon is a large conglomerate technology company offering many products and services.

Experience with business intelligence and automated self-service reporting tools such as Tableau, Quicksight, Microsoft Power BI, or Cognos.Experience in identifying metrics and KPIs, gathering data, experimentation, and presenting decks, dashboards, and scorecards.Proficiency with Microsoft Excel, Macros, and Access.Experience with querying relational databases (SQL) and hands-on experience with processing, optimization, and analysis of large data set.Extensive experience in programming languages like Python, R, or Java.Experience with scripting, querying, and data warehouse tools, such as Linux, R, SAS, and/or SQL.preferred) in Finance, Business, Economics, Engineering, math, statistics, computer science, Operation Research, or related fields.

Therefore, Amazon only hires highly qualified candidates with at least 3 years of industry experience working with data analysis, data modelling, advanced business analytics, and other related fields. The data analyst position at Amazon requires specialization in knowledge and experience. Data analysts at Amazon work with both technical and non-technical internal teams to build the right analysis to answer key business questions. Amazon also leverages data to make business decisions and drive growth. Amazon compiles this data and feeds it to its recommendation system to better serve customers’ needs and improve the shopping experience by recommending products that best fit their preferences.

In this age of data, Amazon collects data on every customer clicks and interactions on its website this includes what items customers are looking at, what items they put in their cart, what quality they want, what their preferences are, etc. In the USA only, Amazon controls more than half of the online market, and since its inception in 1994, it has worked to achieve its ultimate goal, which is being “the one-stop-shop” by learning from data. Unlike the traditional marketplace, Amazon is gigantic! And it’s filled with millions and millions of products on display. Amazon is one of the largest online markets in the world.

Anylist interview