Business Analyst - Analytics, RING GSO

We are looking to hire an insightful, results-oriented Business Analyst to produce and drive analysis for the Security & Loss Prevention (SLP) function in Amazon. The mission of the SLP team is to mitigate security and operational risks to the associates, data, physical assets & inventory. The SLP team ensures smooth run of the day-to-day business operations by protecting against various threats and by managing security and loss prevention risks, thereby ensuring a safe and secure work environment. This is achieved by preventing the security related risks and vulnerabilities as early as possible; by intervening in unfolding incidents and exposures in order to minimize any negative impact; and by investigating thoroughly security related incidents in order to identify and remove root causes and to prevent re- occurrence.
About the organisation
Risk & Investigations for Network & Goods (RING)
RING is a global inventory and goods risk management program initiated in Global Security Organization (GSO), to manage security and loss within Amazon to contribute towards Amazon’s profitability, and sustainability. RING engages in a wide variety of tech and non-tech initiatives to support customers and stakeholders get visibility on losses and take action to prevent the losses by strengthening all aspects of the Amazonian operational network.
Data Services and Products (DSP) within RING is a dedicated function focused on Data Services, Shrink Analytics and Products deployment enabling the charter of RING namely Shrink, Investigations and E2ESN. DSP will work with GSO teams to standardize and automate business processes and mechanisms to provide deep actionable insights to support field teams to conduct investigations, identify fraudulent MOs, build scalable programs and thus prevent loss. DSP aspires to be the business transformation platform of choice that reshapes the way our customers and stakeholders leverage technology to build and operate their businesses.
The ideal candidate has an accomplished professional background, demonstrated proficiency in mathematics and/or statistics, and experience as an analyst in a business environment. They are comfortable in analysing data from multiple sources to create strategic recommendations in a thoughtful, concise manner and obtaining organizational buy-in at senior levels. They are well- organized, can manage multiple analyses/projects simultaneously, and is intellectually curious. The candidate would develop solutions that will help bring in continuous improvement/changes in processes from the Loss Prevention standpoint, thereby helping in reducing the losses across Amazon network.
Key job responsibilities
• Converting data into digestible business intelligence and actionable information
• Writing high quality SQL codes to retrieve and analyze data
• Working with large data sets, automate data extraction, and build monitoring/reporting dashboard
• Interacting with internal stakeholders to deep-dive outlier events
• Analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities
• Communicating complex analysis and insights to our stakeholders and business leaders, both verbally and in writing
• Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
Basic qualifications
Basic Qualifications: · B.Tech. degree in Mathematics, Statistics, Computer Science or any other quantitative field · 2+ years of professional experience in Analytics, Business Intelligence or a Data Science role dealing with complex data sources · Advanced SQL proficiency and experienced in writing highly-optimized SQL queries on very large relational databases · Experience in effectively leveraging Quicksight to develop compelling insights and reports. Skilled in communicating complex analyses and insights to stakeholders and business leaders through clear and articulate verbal and written communication · Must be passionate about data analytics and have a natural curiosity and ability to dive deep into large datasets uncovering insights and presenting relevant findings to business partners · Ability to quickly gain a deep understanding of our BI platforms, database schemas, ETL’s, and business logic with an ability to apply critical thinking skills · Strong problem-solving and critical thinking skills; ability to analyse issues and create appropriate tactical plans · Meticulous attention to detail; ability to juggle many tasks in parallel without lowering quality bar · Ability to succeed in a fast-paced, innovative, and rapidly evolving industry and business organization · Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams. · Must be detail-oriented with a demonstrated ability to self-motivate and follow through on issues. · Self-driven and can work with minimal oversight
Preferred qualifications
Preferred Qualification: · B.tech. from a reputed college · Experience in Python and developing Data Science models · Experience architecting data solutions with AWS products like Redshift, RDS, S3 · Relevant experience in complex business analysis and research, including experience in operations analysis · Knowledge of Tableau, Power BI or similar data visualization tools
- 2+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience
- 2+ years of complex Excel VBA macros writing experience
- Experience defining requirements and using data and metrics to draw business insights
- Bachelor's degree or equivalent
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- Experience working with Tableau
- Experience using very large datasets