Finance Business Intelligence Engineer, FinOps FP&A
hace 1 mes
Amazon is an electronic commerce company based in Seattle, Washington, originally known for being an online bookstore that has evolved into offering a wide range of products. The company aims to be customer-centric, providing a platform for people to discover and purchase various items online.
The Finance Operations, Accounting & Analysis (FOAA) team at Amazon is known for its fast-paced and dynamic environment, prioritizing exceptional customer experiences. Currently, they are looking for a skilled Business Intelligence Engineer to support their LATAM BIE team.
They are in search of a talented Business Intelligence Engineer to join their team, responsible for producing and delivering a set of reports critical for making key business decisions within the organization.
The ideal candidate must possess a keen eye for detail, dedicated to providing valuable and timely insights to clients. Effective communication skills, prioritization abilities, innovation, and teamwork proficiency are also crucial for this role. The candidate should excel in collaborating with diverse teams and adapting to a fast-paced, ever-evolving work environment.
Key Responsibilities:
- Enhancing data analysis and insights capabilities, ensuring data accessibility, auditing visualization dashboards, and suggesting new reporting methods
- Transforming data into understandable business intelligence and actionable insights
- Developing and presenting essential metrics, reports, and indicators for evaluating business performance
- Analyzing extensive datasets to address specific business inquiries using tools like Excel, SQL, and other data manipulation languages
- Collaborating with business units to leverage metrics and analysis for enhancing operational efficiencies, utilizing tools such as SQL, ETL, Excel, Tableau, and Python
Location options for potential candidates include:
Heredia, H, CRI
Basic Qualifications:
- At least 2 years of experience in data analysis with tools like Redshift, Oracle, and NoSQL
- Proficiency in data visualization using Tableau, Quicksight, or similar platforms
- Familiarity with analytics tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t-test, Chi-squared)
- Knowledge of scripting languages like Python, Java, or R
- Understanding of Object-Oriented Programming, CI/CD, and Version Control (e.g., Git)
Preferred Qualifications:
- Master's degree or an advanced technical qualification
- Expertise in data modeling and pipeline design
- Experience in statistical and correlation analysis
- Proficiency in all stages of software development life cycle, including design, implementation, deployment, and maintenance
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