The CS Data Analyst will support the rapid growth of Customer Service Org by developing business metrics, mining data to uncover consumer insights and business opportunity, and also partnering with internal stakeholders to drive the business. This role requires an individual with excellent understanding of SQL and query development, good business acumen and the ability to work with multiple teams and stakeholders. Successful candidate will be a self-starter comfortable with ambiguity, will have strong attention to detail, and will be comfortable working in fast-paced and dynamic environment.
Additional locations include: Amman-Jordan
Key job responsibilities
• Understanding data and using automated, tools to extract data from databases.
• Designing of queries and generation of reports, dashboards and maintenance of data integrity.
• Plan and execute multiple projects, collaborating cross functionally/geographically.
• Complete ad hoc data retrieval and analysis using relational databases, Excel and other data management systems to fetch raw data and analyze it to prepare insightful reports.
• Deep dive into the data to capture defects and surface improvement opportunities using visualization, charts and graphs.
• Support CS Operations during large scale feature, product and business launches.
• Data collection and entry as needed. Data mining and problem solving.
• Timely communication with team and Stakeholders on progress updates.
About the team
Amazon's mission is to be Earth's most customer-centric company. We work towards a single goal: which is to ensure the best experience for our customers. To achieve this, Amazon Middle East Customer Service (CS) is looking for a Data Analyst who analyzes Customer Service (CS) operational data to identify trends and deliver actionable insights. This role creates performance reports, identifies customer pain points through data analysis, and recommends solutions to improve customer experience. The analyst works closely with CS teams to implement data-driven improvements.
- Strong mathematical skills to help collect, measure, organize and analyze data.
- Strong Analytical and logical thinking to decode issues with data.
- Experience defining requirements and using data and metrics to generate business insights.
- Technical skills – Advanced proficiency in SQL/ETL, Microsoft Excel, and statistical analysis tools and techniques.•Experience with data visualization using QuickSight, Tableau, or similar tools.
- Strong Analytical skills – has ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusion relevant to the business problem.
- Ability to present information professionally & concisely with supporting data.
- Ability to work effectively & independently in a fast-paced environment with tight deadlines.
- Excellent verbal and written communications skills are a must, as well as the ability to work effectively with multiple teams and stakeholders.
- Bachelor’s degree in Engineering, Mathematics, Statistics or similar quantitative discipline
- 2-3 years in relevant experience as Business Analyst or equivalent
- Background in e-commerce, retail, telecommunications, customer operations
- Awareness and experience of automating workflows and mechanisms
- SQL and analytical tools and techniques
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