BIE II, Translation Services
6 months ago
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 Translation Services Org, you will play a crucial role in shaping our strategic innovation program. Your contribution will empower product teams with insights into operational performance. 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/AWS/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 candidate should 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 manner. In this role, you will play a key part in identifying complex business problems, recognizing opportunities, and implementing BIE solutions to enhance Operations for Translation services 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. Your responsibilities will include setting 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. Furthermore, 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. Successful team members collaborate effectively with business customers and cross-functional data management teams to solve problems and implement innovative solutions.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- 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
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