Business Analyst, Amazon Selection Monitoring
Within the Selection Monitoring team, a Business Analyst is expected to own analytics on large volumes of data, synthesize the analysis into business insights, communicate the findings to stakeholders, and deliver business value. The Business Analyst will be skilled in understanding customer needs, converting them to analysis requirements, having working knowledge of data availability in various sources, building customer confidence through effective communication, and deriving recommendations. The Business Analyst will also be responsible for the project plan, cost and efficiency analytics platform resources, scaling of data processes and reports, and project timeline and deliverables.
Key Job Responsibilities
1. Solve ambiguous problems with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes.
2. Identify, develop, and execute data analysis to uncover areas of business opportunities.
3. Learn and understand the broad range of Amazon’s data resources and develop knowledge of how, when, and which data sources to use.
4. Deep dive into massive data sets to answer key business questions using SQL, MS Excel, and other data manipulation languages.
5. Build new reports/dashboards to enable emerging business use cases.
6. Partner with the Data Engineering team to deploy new data technology.
7. Present written recommendations and insights to key stakeholders that will help shape effective selection expansion strategies worldwide.
8. Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, modeling, and problem solving.
BASIC QUALIFICATIONS
1. 4+ years of tax, finance, or a related analytical field experience.
2. 4+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience.
3. Bachelor's degree in finance, accounting, business, economics, engineering, analytics, mathematics, statistics, or a related technical or quantitative field.
4. Experience defining requirements and using data and metrics to draw business insights.
5. Experience making business recommendations and influencing stakeholders.
6. 3+ years of experience in hands-on analytics: building data pipelines using SQL, reports in Excel, dashboards in tools like QuickSight.
7. Ability to work effectively and independently in a fast-paced environment with tight deadlines.
8. Ability to engage with cross-functional teams for implementation of project/program requirements.
PREFERRED QUALIFICATIONS
- Experience partnering with executive-level leaders to identify and solve business issues.
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