Data Analyst
2 weeks ago
Are you a detail-oriented data expert with a passion for process optimization? Do you have a knack for analyzing complex data sets and identifying areas for improvement? We are seeking a highly skilled Data Analyst to join our team at Amazon.
About the RoleThis is an exciting opportunity to work on high-priority projects that will drive business growth and customer satisfaction. As a Data Analyst, you will be responsible for defining analytical frameworks, identifying gaps in existing processes, and collaborating with cross-functional teams to implement solutions. Your expertise will help streamline processes, improve efficiency, and enhance customer experience.
Key Responsibilities- Apply multi-domain/process expertise in day-to-day activities and own end-to-end roadmap.
- Translate complex or ambiguous business problem statements into analysis requirements and maintain a high bar throughout execution.
- Define analytical approach; review and vet analytical approach with stakeholders.
- Proactively and independently work with stakeholders to construct use cases and associated standardized outputs.
- Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation.
- Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis.
- Work with a variety of data sources and pull data using efficient query development that requires less post-processing (e.g., window functions, virtual usage).
- Actively manage the timeline and deliverables of projects, focusing on interactions within the team.
- Provide program communications to stakeholders.
- Communicate roadblocks to stakeholders and propose solutions.
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- Experience with one or more industry analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t-test, Chi-squared).
- Experience with scripting language (e.g., Python, Java, or R).
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