Experienced Full Stack Data Analyst – Paid Media Optimization and Business Intelligence
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 a shared passion for innovation, customer obsession, and operational excellence.
About the Role
We are seeking an experienced Full Stack Data Analyst to join our team in a part-time remote capacity. As a key member of our analytics team, you will play a critical role in supporting our paid media optimization capability to drive business growth and improve advertising efficiencies. You will work closely with our marketing teams to identify areas of improvement and develop data-driven insights to inform business decisions.
Key Responsibilities
Convey data-driven insights and recommendations in the area of paid media to inform business decisions
Develop and lead the improvement of data, business intelligence, and data science projects to enhance paid media and advertising efficiencies
Collaborate with paid media data science teams and marketing teams to implement media blend models and optimize paid media spend
Direct ad-hoc analysis through database querying, followed by smart interpretation of results and the plan and communication of suggestions that drive action
Work as a liaison with marketing, finance, and product teams to handle business challenges and track marketing and product performance with a data-driven approach
Utilize Organized Query Language (SQL), MicroStrategy, Tableau, Power BI, and other data visualization tools to create and maintain planned and ad-hoc 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 firms) and address complex business challenges by conveying significant insights
Conceptualize and run investigations that produce insights on customer behavior and customer needs to help further develop and refine our value proposition
Essential Capabilities
Experience in the field of Business Intelligence, Data Analysis, or Consulting in an e-commerce or related industry
High-level SQL experience
High-level involvement in at least one industry data analysis and visualization tool (e.g. Tableau/QuickSight/Power BI)
Master in Excel with a demonstrated history
Degree in data science, business, finance, computer science, statistics, mathematics, or other related field
Preferred Capabilities
You enjoy working in a team of highly connected individuals
You have a passion for numbers, data, and metrics, but also for conveying significant analysis 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 Amazon and its Benefits
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.
Amazon is known for its extensive range of employee benefits, which may 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 receive 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 diverse 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 visit our website to learn more about the application process and to submit your resume and cover letter.
Apply Now
Apply Now
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 a shared passion for innovation, customer obsession, and operational excellence.
About the Role
We are seeking an experienced Full Stack Data Analyst to join our team in a part-time remote capacity. As a key member of our analytics team, you will play a critical role in supporting our paid media optimization capability to drive business growth and improve advertising efficiencies. You will work closely with our marketing teams to identify areas of improvement and develop data-driven insights to inform business decisions.
Key Responsibilities
Convey data-driven insights and recommendations in the area of paid media to inform business decisions
Develop and lead the improvement of data, business intelligence, and data science projects to enhance paid media and advertising efficiencies
Collaborate with paid media data science teams and marketing teams to implement media blend models and optimize paid media spend
Direct ad-hoc analysis through database querying, followed by smart interpretation of results and the plan and communication of suggestions that drive action
Work as a liaison with marketing, finance, and product teams to handle business challenges and track marketing and product performance with a data-driven approach
Utilize Organized Query Language (SQL), MicroStrategy, Tableau, Power BI, and other data visualization tools to create and maintain planned and ad-hoc 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 firms) and address complex business challenges by conveying significant insights
Conceptualize and run investigations that produce insights on customer behavior and customer needs to help further develop and refine our value proposition
Essential Capabilities
Experience in the field of Business Intelligence, Data Analysis, or Consulting in an e-commerce or related industry
High-level SQL experience
High-level involvement in at least one industry data analysis and visualization tool (e.g. Tableau/QuickSight/Power BI)
Master in Excel with a demonstrated history
Degree in data science, business, finance, computer science, statistics, mathematics, or other related field
Preferred Capabilities
You enjoy working in a team of highly connected individuals
You have a passion for numbers, data, and metrics, but also for conveying significant analysis 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 Amazon and its Benefits
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.
Amazon is known for its extensive range of employee benefits, which may 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 receive 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 diverse 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 visit our website to learn more about the application process and to submit your resume and cover letter.
Apply Now
Apply Now