Experienced Full Stack Data Analyst – Business Intelligence and Analytics Expert for Paid Media Optimization

About Us

Amazon is a multinational e-commerce and technology company based in Seattle, Washington, USA. Founded by Jeff Bezos in 1994, Amazon has grown to become one of the world's largest online retailers and a leading player in various industries, including cloud computing, virtual streaming, artificial intelligence, and more. Our company culture is built on innovation, customer obsession, and a passion for excellence. We are committed to providing a work environment that is inclusive, diverse, and supportive of our employees' growth and development.

About the Role

We are seeking an experienced Full Stack Data Analyst to join our team as a Business Intelligence and Analytics Expert for Paid Media Optimization. As a key member of our analytics team, you will be responsible for supporting our paid media investigation capability to surface data-driven insights for our leadership team, focusing on streamlining our paid media spend globally. You will work closely with marketing teams to identify ways of working on the efficiencies of our paid media spend and develop detailing and investigations to inform and drive decisions, and develop KPIs and scorecards to track progress/execution to drive an emphasis on results and execution.

Key Responsibilities

• Convey detailing and insights in the area of paid media
• Plan and develop/lead the improvement of analytics, BI, and data science projects aimed at enhancing visible paid media and improving advertising efficiencies
• Work with paid media analytics team and marketing teams on executing media blend models
• Direct ad-hoc analysis through database querying, followed by smart understanding of results and the plan and communication of suggestions that drive action
• Collaborate with marketing, finance, and product teams to handle business challenges, and track marketing and product execution with a data-driven approach
• Influence Organized Query Language (SQL), MicroStrategy, Tableau, Power BI, and other analytics tools to create and maintain planned and Adhoc reports
• Examine data to identify business issues and lead deep dives to perform root cause analysis
• Collaborate with partners to leverage data (internal data from Amazon and external data from market research and marketing agencies) and address complex business challenges by conveying significant insights
• Conceptualize and run analysis that produce insights on customer behavior and customer needs to help further develop and improve our value proposition

Essential Capabilities

To be successful in this role, you will need to possess the following essential capabilities:

• Experience in the field of Business Intelligence, Analytics, or Consulting in an e-commerce or related field
• High-level SQL experience
• High-level experience in at least one industry analytics and measurement tool (e.g. Tableau/QuickSight/Power BI)
• Master in Power BI with a proven track record
• Degree in data science, business, finance, data engineering, statistics, mathematics, or other related field

Preferred Capabilities

While not essential, the following preferred capabilities would be beneficial for this role:

• You enjoy working in a team of highly engaged individuals
• You have a passion for numbers, data, and analytics, but also for conveying significant insights of high quality
• Strong inclination for action, highly organized, and ability to complete tasks and projects with minimal direction and tight deadlines
• Excellent communication (verbal and written), interpersonal skills, and ability to communicate with both business leadership and technical teams effectively
• Experience with enrollment, membership-based, or media content organizations
• Experience with and/or interest in learning more on state-of-the-art data science approaches
• Programming languages: knowledge of Python
• Knowledge of other programming languages, such as Java or C#, or of statistical programming languages like R or SAS
• Knowledge of Adobe Analytics

About Our Benefits

Amazon is known for its extensive range of employee benefits, which can vary depending on the location and job position. Some of the common benefits that Amazon has provided to its employees in the past include:

• Health insurance: Amazon typically provides comprehensive medical insurance plans, including medical, dental, and vision insurance, for eligible employees and their families
• Retirement savings: The company has historically provided a 401(k) plan with a company match to help employees save for their retirement
• Stock options: Amazon employees may have the opportunity to receive stock options or grants, allowing them to become partial owners of the company
• Paid time off: Amazon employees usually get paid vacation days, sick leave, and other types of paid time off
• Employee discounts: Amazon employees have frequently enjoyed discounts on Amazon services and products, which can be appealing to frequent online shoppers
• Training assistance: The company has provided training assistance programs to support employees pursuing higher education or skill development
• Career advancement opportunities: Amazon is known for promoting from within and offering various opportunities for professional growth within the company
• Parental leave: Amazon has provided parental leave benefits to support employees during critical family events, such as the birth or adoption of a child
• Wellness programs: The company may offer wellness programs and resources to support employees' well-being
• Flexible work options: Amazon has provided some employees with flexible work arrangements, including remote work options
• Employee assistance program (EAP): Amazon may offer an EAP to provide confidential counseling and support services for employees and their families

How to Apply

If you are a motivated and detail-oriented individual with a passion for data analysis and business intelligence, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We look forward to hearing from you!