AmazonPosted 2w ago

Business Analyst II, Ops Analytics & Data Engineering

Business Analyst II, Ops Analytics & Data Engineering at Amazon scores 28 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

IN, TS, Hyderabadmidfull-time

AI in this role

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, basics of modeling, create dashboards and visualizations of processed data
. Will be comfortable in implementing GenAI technologies to create efficient impact in analytics.
· Will have 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 develop an analytic solution to drive deep dives, provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business insights, and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement.

About the team
Our team strives to make Amazon the best way for 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 its Customer and Partner trust Shared Services Analytics team. The team is being grown to provide insights and provide analytical solutions to help drive better seller experience, uncover the hidden risks and trends, reduce investigation errors, improve customer experience and predict & recommend the optimizations for future state.

Basic qualifications

- 3+ years of tax, finance or a related 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
- Bachelor's degree or equivalent

Preferred qualifications

- Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- Experience communicating analytical outcomes through written communication to both business and technical teams

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.