Mgr Business Intelligence Engineering WWGS Tech Support Analytics and Operations
Mgr Business Intelligence Engineering WWGS Tech Support Analytics and Operations
Posted on :
12-04-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
12-04-2025
Job Description
Join us on our mission to once again revolutionize the way the world shops. We are the Amazon Worldwide Grocery Store Technology Support Team responsible for core retail technologies in stateoftheart grocery stores.
About the Role:
Were seeking a leader to oversee our Reporting and Analytics team within Tech Support. This role will provide strategic leadership and operational oversight for a team of data and visualization analysts responsible for providing 1 datainsights through ServiceNow Platform Analytics as well as Amazon BI tooling (QuickSight) when needed 2 trend analysis to identify key drivers in anomalous activity 3 creation of predictive modeling within ServiceNows predictive intelligence 4 general data governance 5 and providing input to the strategic roadmap for continued growth and maturity in the data team.
The successful candidate will drive datadriven decisionmaking foster crossfunctional partnerships propose and implement new tooling and approaches to data science to mature our ways of working and elevate support for our store and end users.
Key job responsibilities
1. Lead and develop a highperforming team of analysts and data engineers ensuring technical proficiency and operational excellence.
2. Oversee the delivery of timely accurate reporting and analytics to internal and external stakeholders including proactive trend monitoring and data governance.
3. Partner with Major Incident Management Problem Management Tech Support Retail and Supply Chain Support and Engineering teams to drive datacentric improvements.
4. Define and implement data stack and operating data governance models across the team.
5. Develop and implement strategies to continuously improve data quality metrics and analytical processes.
6. Manage multiple highpriority projects and initiatives aligning team efforts with business objectives.
7. Serve as a senior technical resource for complex analytics projects and data science challenges.
8. Collaborate with senior Technology leadership to innovate solution strategies and contribute to departmental strategy development.
9. Present project progress insights and recommendations to senior leadership effectively.
Required Skills and Experience:
Bachelors degree in a technical field with 710 years of relevant experience or equivalent combination of education and experience
Advanced proficiency in data visualization tools particularly ServiceNow Platform Analytics and QuickSight 5 years experience)
Strong understanding of ServiceNow and Amazon tooling
Experience with scripting languages (R or Python preferred) and Splunk
Expertlevel Excel skills
Proven track record in developing and motivating team members
Strong business acumen and ability to translate complex data into actionable insights
Excellent communication and presentation skills with the ability to engage stakeholders at all levels
Preferred Qualifications:
Experience in retail or supply chain analytics
Familiarity with machine learning and advanced statistical techniques
About the team
The Reporting and Analytics team transforms Tech Support operational data into actionable intelligence that drives service improvement and strategic decisionmaking. Through comprehensive dashboards and realtime analytics we provide leaders and teams with visibility into performance metrics trend analysis and predictive insights across all support domains. Our work enables teams to identify operational inefficiencies optimize resource allocation and implement datadriven improvements to enhance service delivery.
Beyond traditional reporting were advancing our capabilities through machine learning initiatives within ServiceNow. These innovations are automating critical processes like major incident identification and ticket classification reducing manual effort while improving accuracy and response times. Our analytics suite has become instrumental in supporting strategic initiatives from daily operational decisions to longterm planning and process optimization.
Bachelors degree in a technical field with 710 years of relevant experience or equivalent combination of education and experience
Advanced proficiency in data visualization tools particularly ServiceNow Platform Analytics and QuickSight 5 years experience)
Strong understanding of ServiceNow and Amazon tooling
Experience with scripting languages (R or Python preferred) and Splunk
Expertlevel Excel skills
Proven track record in developing and motivating team members
Strong business acumen and ability to translate complex data into actionable insights
Excellent communication and presentation skills with the ability to engage stakeholders at all levels
Experience in retail or supply chain analytics
Familiarity with machine learning and advanced statistical techniques
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
About the Role:
Were seeking a leader to oversee our Reporting and Analytics team within Tech Support. This role will provide strategic leadership and operational oversight for a team of data and visualization analysts responsible for providing 1 datainsights through ServiceNow Platform Analytics as well as Amazon BI tooling (QuickSight) when needed 2 trend analysis to identify key drivers in anomalous activity 3 creation of predictive modeling within ServiceNows predictive intelligence 4 general data governance 5 and providing input to the strategic roadmap for continued growth and maturity in the data team.
The successful candidate will drive datadriven decisionmaking foster crossfunctional partnerships propose and implement new tooling and approaches to data science to mature our ways of working and elevate support for our store and end users.
Key job responsibilities
1. Lead and develop a highperforming team of analysts and data engineers ensuring technical proficiency and operational excellence.
2. Oversee the delivery of timely accurate reporting and analytics to internal and external stakeholders including proactive trend monitoring and data governance.
3. Partner with Major Incident Management Problem Management Tech Support Retail and Supply Chain Support and Engineering teams to drive datacentric improvements.
4. Define and implement data stack and operating data governance models across the team.
5. Develop and implement strategies to continuously improve data quality metrics and analytical processes.
6. Manage multiple highpriority projects and initiatives aligning team efforts with business objectives.
7. Serve as a senior technical resource for complex analytics projects and data science challenges.
8. Collaborate with senior Technology leadership to innovate solution strategies and contribute to departmental strategy development.
9. Present project progress insights and recommendations to senior leadership effectively.
Required Skills and Experience:
Bachelors degree in a technical field with 710 years of relevant experience or equivalent combination of education and experience
Advanced proficiency in data visualization tools particularly ServiceNow Platform Analytics and QuickSight 5 years experience)
Strong understanding of ServiceNow and Amazon tooling
Experience with scripting languages (R or Python preferred) and Splunk
Expertlevel Excel skills
Proven track record in developing and motivating team members
Strong business acumen and ability to translate complex data into actionable insights
Excellent communication and presentation skills with the ability to engage stakeholders at all levels
Preferred Qualifications:
Experience in retail or supply chain analytics
Familiarity with machine learning and advanced statistical techniques
About the team
The Reporting and Analytics team transforms Tech Support operational data into actionable intelligence that drives service improvement and strategic decisionmaking. Through comprehensive dashboards and realtime analytics we provide leaders and teams with visibility into performance metrics trend analysis and predictive insights across all support domains. Our work enables teams to identify operational inefficiencies optimize resource allocation and implement datadriven improvements to enhance service delivery.
Beyond traditional reporting were advancing our capabilities through machine learning initiatives within ServiceNow. These innovations are automating critical processes like major incident identification and ticket classification reducing manual effort while improving accuracy and response times. Our analytics suite has become instrumental in supporting strategic initiatives from daily operational decisions to longterm planning and process optimization.
Bachelors degree in a technical field with 710 years of relevant experience or equivalent combination of education and experience
Advanced proficiency in data visualization tools particularly ServiceNow Platform Analytics and QuickSight 5 years experience)
Strong understanding of ServiceNow and Amazon tooling
Experience with scripting languages (R or Python preferred) and Splunk
Expertlevel Excel skills
Proven track record in developing and motivating team members
Strong business acumen and ability to translate complex data into actionable insights
Excellent communication and presentation skills with the ability to engage stakeholders at all levels
Experience in retail or supply chain analytics
Familiarity with machine learning and advanced statistical techniques
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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