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Data Analyst
2 months ago
We are seeking a highly skilled Data Analyst to join our team at Amazon. As a Data Analyst, you will play a critical role in driving business decisions through data-driven insights.
Key Responsibilities- Develop and Maintain Data Systems: Design, develop, and maintain data collection processes and data management systems to ensure accurate and timely data delivery.
- Query and Reporting: Design and develop complex queries, compile data, and generate reports in SQL to support business decision-making.
- Data Visualization: Chart and graph data to present insights and trends to stakeholders.
- Dashboard Development: Develop and maintain dashboards using Tableau and Quicksight to support business decision-making and drive business outcomes.
- Automation and Scripting: Develop automation solutions using Python scripts to streamline data analysis and reporting processes.
- Reporting and Presentations: Prepare and publish reports for business reviews, including Weekly Business Reviews, Quarterly Business Reviews, and Project Updates.
- Stakeholder Support: Provide data insights and support to leadership teams to inform business decisions.
- Research and Analysis: Conduct in-depth research on data trends and develop data-driven insights to inform business decisions.
- Data Collection and Entry: Collect and enter data as needed to support business operations.
- Data Mining and Problem-Solving: Develop and implement data mining techniques to identify trends and solve business problems.
- Standard Reporting: Present analysis in easily digestible standard reports to stakeholders.
- Data Warehousing and Querying: Proficient in data warehousing and querying, with the ability to query web sources.
- Reporting Tools: Experience in building and managing reporting tools for business analysis and problem-solving.
- SQL and BI Tools: Advanced knowledge of SQL and experience with BI tools, including QuickSight, PowerBI, and Superset.
- Python and Data Science: Knowledge of Python and data science concepts, including statistical modeling and machine learning.
- Communication and Collaboration: Excellent written and spoken communication skills, with the ability to work collaboratively with cross-functional teams.
- Initiative and Innovation: Initiative to develop tools, data collection processes, and data management systems to drive business outcomes.
- Technical Skills: Experience with Oracle, Ruby on Rails, and HTML, with a strong understanding of data management and analysis concepts.
- Business Acumen: Proven ability to work productively and efficiently in an independent setting, with a strong understanding of business objectives and outcomes.
- Attention to Detail: Excellent attention to detail and ability to work with high accuracy.
- Organizational Skills: Strong organizational and multitasking skills, with the ability to balance competing priorities.
- Statistical Modeling: Experience with statistical modeling, including machine learning, forecasting, and predictions.