DESCRIPTION

Are you enthusiastic about the standardization of data and the automation of Business Intelligence engineering processes to drive analytics and reporting? Do you excel in fast-paced, ambiguous environments? Are you passionate about transforming data into actionable recommendations, implementing data governance best practices, and defining standards for data access, quality, and consistency? If so, your search ends here! Join us to innovate and deliver world-class business intelligence. Find out more about us in this video: https://www.youtube.com/watch?v=zt1qWl379rM
The Worldwide Operations Finance Standardization & Automation (SnA) Tech team is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer (BIE) to join the team. As part of the transportation operation, Amazon ships several millions of packages every year to customers on time with high customer excellence.
The role demands a comprehensive grasp of data and reporting, requiring an individual with strong analytical capabilities and exceptional business acumen. As a valuable member of the growing BIE team within the central Tech organization supporting WW operations finance, you will play a crucial role in shaping our strategic innovation program. Your contribution will empower project teams with insights into operational performance. The dynamic growth of the business and the evolving complexity of the global transportation network make this position both exciting and challenging. The ideal candidate will not only elevate the standard for data retrieval and analysis but will also exhibit a keen curiosity to understand the business holistically, proactively delving into issues as they arise. Attention to detail, proficiency and advanced skills in SQL/DWH/Python, and a knack for solving data and reporting challenges are essential. Effective collaboration and clear communication with functional teams, both regionally and globally, are integral to the role. The ideal candidate thrives in a fast-paced, dynamic environment, embodying a creative and analytical problem-solving approach, aligning with the Amazon motto to “Work Hard. Have Fun. Make History.
Key job responsibilities
The ideal candidate is a seasoned data professional with a strong bias for action, possessing expertise in data modeling, ETL, SQL, and scripting. Additionally, they should have a passion for presenting data in a visually appealing and easily digestible manner. In this role, you will play a key part in identifying complex business problems, recognizing opportunities, and implementing solutions to enhance Operations Finance-facing systems, processes, and tools. The successful candidate will be a self-starter and quick learner, comfortable with ambiguity, results-oriented, with a keen attention to detail. They must insist on high standards, demonstrate decision-making abilities, and be ready to adapt in a fast-paced, ever-changing business environment.
You will set data modeling standards, constructing complex data pipelines, building and maintaining multiple databases, identifying complex/abstract problems, and uncovering insights through the use of statistical, data mining, and visualization techniques.
You will contribute to process automation by developing deep-dive tools, user interfaces (UIs), metrics, and dashboards to communicate insights in real-time to business teams.
Collaborate effectively with business customers and cross-functional data management teams to solve problems and implement innovative solutions.

BASIC QUALIFICATIONS

• 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 one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
• Experience with scripting language (e.g., Python, Java, or R)

PREFERRED QUALIFICATIONS

• Master’s degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis
  Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  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.
  Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $74,100/year in our lowest geographic market up to $165,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site

Please refer the Job description for details