Sr Business Intelligence Engineer DfS Analytics and Business Intelligence
Sr Business Intelligence Engineer DfS Analytics and Business Intelligence
Posted on :
19-04-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
19-04-2025
Job Description
The Design for Scale (DfS) Business Intelligence Engineer will build and manage a novel Business Analytics and Intelligence mechanism to inform the business on product impact throughout the Product Development Process. The DfS Business Intelligence & Analytics teams charter is to inform the executive technical operations and corporate stakeholders of key business performance and financial indicators with a high degree of confidence and fidelity via rigorous systems and statistical analysis. These indicators will inform dynamic models that will be true to the current product testing and deployment scope traceable to product requirements giving a concise and live view of the products Financial Supply Chain Manufacturing Maintenance & Reliability Widget Process and Scaled Deployment risks in a form. This Form will allow for efficient and deep approval reviews using key business metrics (IRR/NPV/TCO/COPQ/Enterprise Risk) at the top level while giving the ability to drill deep into the metric inputs in a live and dynamic setting (MTBI/MTBF/MTTR/DPMO/TPH/Etc) down to the individual machine PLC.
The DfS BIE is a high visibility position and will regularly interface with Senior tech and nontech stakeholders and leaders. Candidate should be comfortable with ambiguity capable of working in a fastpaced environment continuously improving technical skills to meet business needs possess attention to detail and be able to collaborate with customers to understand and transform business problems into requirements and deliverables.
The ideal candidate will possess the expertise and knowledge of the business and its technologies to drive deep data based discussions with customers. The candidate will anticipate and influence future requirements to continuously Raise the Bar in our products data pipelines and models. The candidate should have a frugal and lean prospective to their work leveraging existing infrastructure and eliminating waste when observed. The BIEs outputs will be statistically accurate backtestable traceable and actionable. A high degree of business acumen and judgement is needed as the BIE will be expected to advise executives through ambiguous events in pursuit of the best business decision. The BIE will manage several large scale projects at different phases so a high degree of program organization is required.
The BIE will understand capabilities and limitations of the systems they work with (e.g. cluster size concurrent users data classification). They are able to explain these limitations to technical and nontechnical audiences helping them understand whats currently possible and which efforts need a technology investment (e.g. data pipeline doesnt exist report needs additional functionality etc.. Code submissions and analytics approach to work must be exemplary. BI solutions are inventive robust scalable extensible and easy for others to maintain and build upon.
The BIE will own team infrastructure providing a systemwide view and design guidance. They will drive BI engineering best practices (e.g. Operational Excellence code reviews syntax and naming convention metric definitions alarms) and set standards across the cross functional teams. The BIE will build consensus; when confronted with discordant views and will leverage data and statistics to find the best path forward and advise the stakeholder group.
Key job responsibilities
Key job responsibilities
Design develop and maintain scaled automated customercentric systems reports dashboards etc.
Partner with Executive/Engineering/Operations/Business/Corporate Teams/Finance /Machine Learning (ML) teams to consult develop and implement key performance indicators (KPIs) automated reporting/process solutions and data infrastructure improvements to meet business needs.
Develop the PLC to Dashboard automation of pipelines for Machine Performance and Health metrics.
Apply analytic skill to extract meaningful insights and learnings from large and complicated data sets culminating in extremely accurate financial modeling and forecasts.
Reporting of results Exucutive groups via Exit Gate Reviews QBR/MBR OP1/2 etc.
Serve as liaison with Business and technical teams to achieve project objectives requiring data gathering problem solving modeling and communication of insights and recommendations.
7 years of SQL experience
7 years of professional or military experience
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience programming to extract transform and clean large (multiTB) data sets
Experience with AWS technologies
Experience with theory and practice of information retrieval data science machine learning and data mining
Experience with theory and practice of design of experiments and statistical analysis of results
Knowledge of data warehousing and data modeling
Experience with Mechatronics Supply Chain Quality Safety and Compliance Lean Six Sigma and Business Finance
Masters degree in statistics data science or an equivalent quantitative field
Experience building measures and metrics and developing reporting solutions
10 years of Business/Project Finance
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.
The DfS BIE is a high visibility position and will regularly interface with Senior tech and nontech stakeholders and leaders. Candidate should be comfortable with ambiguity capable of working in a fastpaced environment continuously improving technical skills to meet business needs possess attention to detail and be able to collaborate with customers to understand and transform business problems into requirements and deliverables.
The ideal candidate will possess the expertise and knowledge of the business and its technologies to drive deep data based discussions with customers. The candidate will anticipate and influence future requirements to continuously Raise the Bar in our products data pipelines and models. The candidate should have a frugal and lean prospective to their work leveraging existing infrastructure and eliminating waste when observed. The BIEs outputs will be statistically accurate backtestable traceable and actionable. A high degree of business acumen and judgement is needed as the BIE will be expected to advise executives through ambiguous events in pursuit of the best business decision. The BIE will manage several large scale projects at different phases so a high degree of program organization is required.
The BIE will understand capabilities and limitations of the systems they work with (e.g. cluster size concurrent users data classification). They are able to explain these limitations to technical and nontechnical audiences helping them understand whats currently possible and which efforts need a technology investment (e.g. data pipeline doesnt exist report needs additional functionality etc.. Code submissions and analytics approach to work must be exemplary. BI solutions are inventive robust scalable extensible and easy for others to maintain and build upon.
The BIE will own team infrastructure providing a systemwide view and design guidance. They will drive BI engineering best practices (e.g. Operational Excellence code reviews syntax and naming convention metric definitions alarms) and set standards across the cross functional teams. The BIE will build consensus; when confronted with discordant views and will leverage data and statistics to find the best path forward and advise the stakeholder group.
Key job responsibilities
Key job responsibilities
Design develop and maintain scaled automated customercentric systems reports dashboards etc.
Partner with Executive/Engineering/Operations/Business/Corporate Teams/Finance /Machine Learning (ML) teams to consult develop and implement key performance indicators (KPIs) automated reporting/process solutions and data infrastructure improvements to meet business needs.
Develop the PLC to Dashboard automation of pipelines for Machine Performance and Health metrics.
Apply analytic skill to extract meaningful insights and learnings from large and complicated data sets culminating in extremely accurate financial modeling and forecasts.
Reporting of results Exucutive groups via Exit Gate Reviews QBR/MBR OP1/2 etc.
Serve as liaison with Business and technical teams to achieve project objectives requiring data gathering problem solving modeling and communication of insights and recommendations.
7 years of SQL experience
7 years of professional or military experience
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience programming to extract transform and clean large (multiTB) data sets
Experience with AWS technologies
Experience with theory and practice of information retrieval data science machine learning and data mining
Experience with theory and practice of design of experiments and statistical analysis of results
Knowledge of data warehousing and data modeling
Experience with Mechatronics Supply Chain Quality Safety and Compliance Lean Six Sigma and Business Finance
Masters degree in statistics data science or an equivalent quantitative field
Experience building measures and metrics and developing reporting solutions
10 years of Business/Project Finance
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:
Senior IC
Employment Type
Full-Time
Key Skills
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