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Business Intelligence Engineer II, Worldwide Operations Finance Standardization
2 months ago
Are you passionate about data standardization and the automation of Business Intelligence engineering processes to enhance analytics and reporting? Do you thrive in dynamic and uncertain environments? Are you dedicated to converting data into actionable insights, establishing data governance best practices, and defining standards for data accessibility, quality, and consistency? If this resonates with you, we invite you to explore this opportunity to innovate and deliver exceptional business intelligence.
About Us:
The Worldwide Operations Finance Standardization & Automation (S&A) Tech team is in search of a customer-oriented, analytically and technically proficient Business Intelligence Engineer (BIE) to join our ranks.
As part of the transportation operations, Amazon is committed to delivering millions of packages to customers punctually while maintaining high standards of customer satisfaction. This role requires a thorough understanding of data and reporting, necessitating an individual with robust analytical skills and outstanding business insight.
As a key member of the expanding BIE team within the central Tech organization supporting Worldwide Operations Finance, you will significantly influence our strategic innovation initiatives.
Your contributions will empower project teams with valuable insights into operational performance.
The rapid growth of the business and the increasing complexity of the global transportation network make this position both stimulating and demanding.
The ideal candidate will not only raise the bar for data retrieval and analysis but will also possess a strong curiosity to comprehend the business comprehensively, proactively investigating issues as they arise.
Attention to detail, proficiency in SQL/DWH/Python, and a talent for resolving data and reporting challenges are essential. Effective collaboration and clear communication with functional teams, both regionally and globally, are integral to this role.
The ideal candidate flourishes in a fast-paced, dynamic environment, embodying a creative and analytical problem-solving mindset, in line with Amazon's ethos of "Work Hard. Have Fun. Make History."
Key Responsibilities:The successful candidate will be 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 format.
In this role, you will play a pivotal part in identifying complex business challenges, 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, and possess a keen attention to detail.
They must uphold high standards, demonstrate decision-making capabilities, and be prepared to adapt in a fast-paced, ever-evolving business environment.
Your responsibilities will encompass:
- Establishing data modeling standards
- Constructing complex data pipelines
- Building and maintaining multiple databases
- Identifying complex/abstract problems
- Uncovering insights through statistical, data mining, and visualization techniques
Furthermore, you will contribute to process automation by developing in-depth tools, user interfaces (UIs), metrics, and dashboards to communicate insights in real-time to business teams.
Successful team members collaborate effectively with business customers and cross-functional data management teams to solve problems and implement innovative solutions.
About the Team:The S&A Worldwide Operations Finance Tech organization has recently been established, with a robust tech product roadmap for the upcoming year.
BASIC QUALIFICATIONS:- 5+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in data modeling, warehousing, and building ETL pipelines
- Experience in statistical analysis packages such as R, SAS, and Matlab
- Experience using SQL to extract data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc., and using databases in a business environment with large-scale, complex datasets
Amazon is an equal opportunities employer. We believe that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build.
Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to learn more about how we collect, use, and transfer the personal data of our candidates.
Amazon is committed to a diverse and inclusive workplace and does not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
For individuals with disabilities who would like to request an accommodation, please visit our website.
