Amazon

About Amazon

The everything store and cloud computing leader

🏒 TechπŸ‘₯ 1001+ employeesπŸ“… Founded 1995πŸ“ South Lake Union, Seattle, WA⭐ 3.7
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Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

Amazon

Business Intel Engineer I, AOP

Amazon β€’ Hyderabad, Telangana, IND

Apply Now β†’

Job Description

AOP team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.

Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.

This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.

Key job responsibilities
1) Translate business problems into analytical requirements and define expected output
2) Create analytical approach to solve the problem inline with stakeholder expectation
3) Be the domain expert and have knowledge of data availability from various sources.
4) Execute solution with scalable development practices in scripting, data extraction and data visualization
5) Triangulate data from multiple sources to ensure data fidelity
6) Responsible for deep-dive analysis on key metrics
7) Manage top notch communication with stakeholders and team members with include project progress, blockers etc.

A day in the life
1) Solve analyses with well-defined inputs and outputs; drive to the heart of the problem and identify root causes
2) Have the capability to handle large data sets in analysis
3) Derive recommendations from analysis
4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing
5) Communicate analytical insights effectively

About the team
AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace.

AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession.

We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities.

We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams.- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)
- Experience with scripting language (e.g., Python, Java, or R)
- 2+ years of ecommerce, transportation, finance or related analytical field experience- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis

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.

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