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Job Overview

Category

MBA, OTHERS

Job Role

Data Analyst

Gender preferred

No Preferences

Functional Area

Work preferred

Work from Office

Qualification

Graduation

Any Graduation

Post Graduation

Any Post Graduation

Description




  • 1+ years of experience in financial/business analysis

  • Experience with SQL or ETL

  • Experience defining requirements and using data and metrics to draw business insights




  • Bachelor’s Degree in any quantitative discipline such as Engineering, Statistics, Mathematics, Quantitative Finance or Operational Research

  • Experience in working with databases, ETL and SQL in a business environment

  • Demonstrated use of at least one of the analytical packages & query languages such as SAS, R, Python and SQL

  • Experience in developing requirements and formulating business metrics for reporting, familiarity with data visualization tools, e.g. Tableau, PowerBI, Quicksight

  • Experience making business recommendations and influencing stakeholders

. Experience communicating analytical outcomes through written communication to both business and technical teams



Job summary

At Amazon.com, we strive to be Earth’s most customer-centric company. To support this vision, we need exceptionally talented, bright, and driven people. If you would like to help us build the place to find and buy anything online, this is your chance to work hard, have fun, and make history.


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 transform data into actionable business information, and will make it readily accessible to stakeholders worldwide

  • 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 be passionate about finding root causes, trends, and patterns and how they impact business.

  • 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

. Will thrive in an agile and fast-paced environment on highly visible projects and initiatives


A day in the life

As a Business Analyst, you will help translate analytic insights into concrete, actionable recommendations on product / process improvements and measure business impact. From Day 1, you will be challenged with a variety of tasks, ranging from data pipeline monitoring to building metrics, solving business problems using analytical techniques, and generating & implementing insightful recommendations. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and performant data solutions. You will design, implement and drive adoption of new analytics technologies and solutions and promote industry standards best practices.


About the team

Our team strives to make Amazon the best way for selling partners to reach customers locally and globally and to operate their businesses, driven by the accurate and efficient support and solutions we provide them. We are looking for a Business Analyst for Selling Partner Risk Analytics team. The team is being grown to provide insights and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors, improve customer experience and predict & recommend the optimizations for future state.


· Experience in e-commerce / on-line companies in fraud / risk control functions · Coding skills in one of the modern languages such as Python, Scala, R, · Experience with ETL, Amazon Redshift and other AWS technologies · Experience in statistical techniques such as classification, clustering, regression, statistical inference, experimental design, feature engineering, etc. · Strong organizational and multitasking skills with ability to balance competing priorities. · Experience working extensively with large scale databases and data warehouse

Skills

FinanceResearchPythonAnalytics

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