DESCRIPTION
Job summary
At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, innovative and driven leaders. If you'd like to help us build the place to find and buy anything on-line, this is your chance to make history and be intimately involved in growing our business by leading and supporting hourly staffing initiatives.
The vision of Workforce Intelligence is to design the ideal workforce to meet the customer promise anywhere. The Workforce Intelligence team applies data and insights to optimize the experience and operations for Amazon's largest candidate population Tier 1 Associates (Frontline Associates), who bring the magic of Amazon's industry-leading Customer Fulfillment experience to life. This organization leads and influences global workforce strategies that enable Amazon to scale more efficiently while also providing a unique voice for the hourly workforce. This is accomplished through a variety of science driven initiatives, KPI analysis and reporting, predictive modeling, and data engineering. Amazon's mission is to be the most customer centric company in the world and Workforce Staffing, the organization responsible for hourly associate hiring globally, is on the front lines of that mission and will be your core customer in this role. The Workforce Intelligence team supports the Workforce Staffing organization by transforming data into insights on high volume hiring within Amazon. While WFS is responsible for the management of the Tier 1 talent supply chain, the Workforce Intelligence team in particular focuses on defining analytics that measure the performance of the program. While we continue to work on metrics that help monitor the health of the program we also spend efforts on identifying efficiencies in the process path through the power of data and predictive analytics.
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The Data Analyst role will be responsible for diving into the complex data sets and analyzing the intricacies of the system. The successful candidate will be an analytical problem solver, have an extremely high level of customer focus and a passion for driving improvements in the areas of data & analytics. As you further your career as a Data Analyst on the WFS team, you will remove barriers to the business intelligence teams need, support self-service tools and mechanisms, and identify opportunities for improved analytics. In this role, you will work with closely with the Business Intelligence Engineers, Data Engineers and other Data Analysts, different users of the data to dive deep into the data sets and resolve customer queries. If you are passionate about analyzing data, discovering and solving real world problems and building metrics and business cases to improve customer experience, love questioning the status quo, and enjoy seeing a tangible impact from your work, this is the role for you.
Key Responsibilities:
• Retrieve and analyze data using Excel, Salesforce, Tableau, and other data management/BI systems
• Efficient management of several ticket queues, resolving issues and engaging with appropriate stakeholders as needed
• Resolving issues quickly and effectively, including providing detailed explanations on a variety of topics
• Being a voice and advocate for our customers when something doesn't feel right
• Develop and maintain ongoing metrics, reports, analyses, and dashboards to provide visibility into system performance
• Provide analytical support to important initiatives in order to drive decisions and prioritize efforts
• Build queries and analyze data to identify trends, root cause issues, and system and process improvement opportunities
BASIC QUALIFICATIONS
• Bachelor's degree in Business, Computer Science, Engineering or a related field
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• 2+ years of professional experience in analytics, measurement & experimentation, statistical data analysis, or comparable experience
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• Advanced working knowledge of Excel, Tableau, Quick sight
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• Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
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• Proven problem solving skills, project management skills, attention to detail, and exceptional organizational skills
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• Proven track record of taking ownership and driving results
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• Ability to deal with ambiguity and competing objectives in a fast-paced environment
PREFERRED QUALIFICATIONS
• 3+ years of relevant experience in a business analyst/data analyst/statistical analysis role
• Basic working knowledge of data mining using SQL, ETL and data warehouse
• Ability to use scripting languages such as Python or R to evaluate data
• Experience building dashboards, reports, or tools through technologies such as QuickSight, Tableau, R Shiny or D3
• Understanding of data warehousing, data modeling concepts
• Experience with query optimization and evaluating data integrity