Business Analyst

hace 4 semanas


San José, Costa Rica Amzn Support Srvcs Costa Rica A tiempo completo

Experience in data transformation through SQL and Excel.
- Experience with data visualization tools such as Power BI, Tableau, QuickSight, etc.
- Tangible experience doing data analysis, data extraction form data warehouse, and generating usable reports (must be specified on the resume).
- Advanced working knowledge of data mining data transformation through using SQL, ETL.
- Strong organizational and multitasking skills with ability to balance competing priorities.
- Proven track record of identifying metric variances and delivering solutions to address the changes.
- Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner.
- Excellent organizational skills including prioritizing, scheduling, time management, and meeting deadlines.

Job summary

Do you love data? Do you get a thrill out of solve complex problems using new and innovative technologies? How would you like to use data protect Amazon and its Customers?

Amazon has built a reputation for excellence with recent examples of being named the #1 most trusted company for customers. To deliver on this reputation of trust, the The Discovery Abuse team is tasked with identifying and preventing abuse.

**Responsibilities**:

- Work with different stakeholders to create analytical tools that will ultimately be a key driver for performance.
- Leverage data to drive operational efficiencies, provide key data-driven insights, enable new opportunities and innovate.
- Developing the next generation of data & analytics infrastructure for the Risk Management team.
- Generating actionable insights through the development of metrics, dashboards and deep dive analyses.
- Providing insights to Program Management as new initiatives are being identified, prioritized, implemented and deployed.
- Serving as a business metrics guru and insight provider in the organization.
- Manage and execute entire components of large projects from start to finish including data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
- Overall responsibility for the data integrity and assurance that the data is correct and current.
- Systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered.
- Familiarity with Redshift, etc.
- Proficiency with at least one statistical software package
- Proven capability in statistical analysis (e.g., ability to conduct analyses using regression, modeling, forecasting approaches, and related tools).
- Degree in a technical, business, or analytical field (Statistics, Computer Science, Engineering or related field).
- Experience on user level data analysis techniques.
- Knowledge of process modeling and mapping and associated tools.
- Familiar with data engineering and data pipe-lining
- Experience with automating processes using a scripting language.



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