BI Manager, DSP Analytics, WW DSP Analytics
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Job Location:
Monthly Salary:
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Job Summary
Are you passionate about building high-performing data engineering teams that deliver best-in-class data products and solutions Do you want to make a long-term impact on technology and business strategy Are you ready to shape the future of small business owners in Last Mile delivery We are seeking an experienced technical leader to join the Last Mile Delivery Service Partner (DSP) Analytics organization as an Business Intelligence Engineering Manager.
In this role you will lead a team of Engineers (Business Intelligence Engineers and Data Scientists) to build and maintain robust data and reporting that enables DSP Performance measurement and continuous improvement. You will drive the development of scalable data solutions simplify data access and unlock self-service insights through automation and best practices.
Key job responsibilities
Team Leadership & Development
Build mentor and lead a high-performing team of Business Intelligence Engineers to create and support datasets metrics and KPIs aligned with DSP business goals
Recruit top talent and foster a culture of innovation collaboration and professional growth
Provide guidance feedback and performance evaluations to team members driving their technical development and career success
Develop team members technical skills in data engineering distributed systems and cloud technologies
Technical Strategy & Execution
Partner with Data Engineers (DEs) Product Management Teams (PMTs) Software Development Managers (SDMs) and technical teams to build relevant data products and solutions
Define and develop data infrastructure including data pipelines data warehousing and ETL/ELT processes
Drive data governance initiatives including data integrity metrics definitions single source of truth accountability and documentation
Implement tooling and automation to continuously measure KPIs and empower Delivery Associates (DAs) and DSPs to improve safety quality and experience
Stay current with technology trends methodologies and tools in AI/Automation recommending and implementing technologies that enhance capabilities and efficiencies
Business Partnership & Strategy
Establish strategic partnerships with business stakeholders to understand requirements and translate them into technical solutions
Build the teams 1-year plan (1YP) and 3-year plan (3YP) vision and effectively communicate progress on key initiatives
Own and drive roadmap strategy and definitions for data engineering deliverables
Make feature delivery decisions and manage tradeoffs in data product development
Contribute to engineering technology and data product strategy decisions at the organizational level
Data Products & Analytics Enablement
Oversee development of data products including scorecards incentive systems dashboards and visualizations for key metrics and KPIs
Partner with DSP Performance program managers to develop relevant and defensible metrics that drive and track business strategy
Enable self-service analytics capabilities for business users through well-designed data models and documentation
- 7 years of business intelligence and analytics experience
- 5 years of delivering results managing a business intelligence or analytics team including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with R Python Weka SAS Matlab or other statistical/machine learning software
- Experience leading and influencing the data strategy of your team or organization
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- 4 years of working with very large data warehousing environment experience
- 10 years of data warehouse technical architectures data modeling infrastructure components ETL/ ELT and reporting/analytic tools and environments data structures and hands-on SQL coding experience
- Masters degree in computer science engineering analytics mathematics statistics IT or equivalent
- Experience in Amazon Redshift and other AWS technologies
- Experience building large-scale high-throughput 24x7 data systems
- Experience communicating technical details verbally and in writing
- Experience dealing well with ambiguity prioritizing needs and delivering measurable results in an agile environment
- Experience with data orchestration tools (Airflow Step Functions or similar)
- Experience with modern data stack tools and practices
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.
In this role you will lead a team of Engineers (Business Intelligence Engineers and Data Scientists) to build and maintain robust data and reporting that enables DSP Performance measurement and continuous improvement. You will drive the development of scalable data solutions simplify data access and unlock self-service insights through automation and best practices.
Key job responsibilities
Team Leadership & Development
Build mentor and lead a high-performing team of Business Intelligence Engineers to create and support datasets metrics and KPIs aligned with DSP business goals
Recruit top talent and foster a culture of innovation collaboration and professional growth
Provide guidance feedback and performance evaluations to team members driving their technical development and career success
Develop team members technical skills in data engineering distributed systems and cloud technologies
Technical Strategy & Execution
Partner with Data Engineers (DEs) Product Management Teams (PMTs) Software Development Managers (SDMs) and technical teams to build relevant data products and solutions
Define and develop data infrastructure including data pipelines data warehousing and ETL/ELT processes
Drive data governance initiatives including data integrity metrics definitions single source of truth accountability and documentation
Implement tooling and automation to continuously measure KPIs and empower Delivery Associates (DAs) and DSPs to improve safety quality and experience
Stay current with technology trends methodologies and tools in AI/Automation recommending and implementing technologies that enhance capabilities and efficiencies
Business Partnership & Strategy
Establish strategic partnerships with business stakeholders to understand requirements and translate them into technical solutions
Build the teams 1-year plan (1YP) and 3-year plan (3YP) vision and effectively communicate progress on key initiatives
Own and drive roadmap strategy and definitions for data engineering deliverables
Make feature delivery decisions and manage tradeoffs in data product development
Contribute to engineering technology and data product strategy decisions at the organizational level
Data Products & Analytics Enablement
Oversee development of data products including scorecards incentive systems dashboards and visualizations for key metrics and KPIs
Partner with DSP Performance program managers to develop relevant and defensible metrics that drive and track business strategy
Enable self-service analytics capabilities for business users through well-designed data models and documentation
- 7 years of business intelligence and analytics experience
- 5 years of delivering results managing a business intelligence or analytics team including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with R Python Weka SAS Matlab or other statistical/machine learning software
- Experience leading and influencing the data strategy of your team or organization
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- 4 years of working with very large data warehousing environment experience
- 10 years of data warehouse technical architectures data modeling infrastructure components ETL/ ELT and reporting/analytic tools and environments data structures and hands-on SQL coding experience
- Masters degree in computer science engineering analytics mathematics statistics IT or equivalent
- Experience in Amazon Redshift and other AWS technologies
- Experience building large-scale high-throughput 24x7 data systems
- Experience communicating technical details verbally and in writing
- Experience dealing well with ambiguity prioritizing needs and delivering measurable results in an agile environment
- Experience with data orchestration tools (Airflow Step Functions or similar)
- Experience with modern data stack tools and practices
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
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
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