Business Intelligence Engineer Internal Audit - Data Analytics Support jobs at Amazon in United States, Jersey City

Key job responsibilities

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 8+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
- 8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 8+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
- 8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)

On-site Manufacturing Engineers work closely with our CMs to scale up our production on NPIs and ensure that we can meet the production and quality targets. You will also work with ODMs, CMs, internal AWS hardware and software development teams, and with upstream component vendors to monitor and improve the incoming hardware quality of AWS products both proactively in the design phase as well as monitoring, reporting and investigating any early-life product failures. This role requires the engineer to be a technical contact and take on full ownership of the manufacturing launch and resolution of process issues. You will be the driver in getting production up and running, understanding root cause of hardware failures and resolving gaps in our suppliers manufacturing processes.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Key job responsibilities
- Manage quality at the CM
- Provide On-Site support to new product launches as well as sustaining issues
- Design in quality and manufacturability on new designs of servers and racksAmazon Web Services (AWS) values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelor's or Master’s degree in Industrial, Manufacturing Engineering or similar related field or equivalent experience
- 2+ years of Manufacturing Engineering work experience with server platforms or on high-tech hardware
- 5+ working with manufacturing suppliers to improve incoming quality of systems
- 5+ years Experience reducing cycle time and improving labor efficiency

Responsibilities:
Interact with business customers to understand and document their business processes and requirementsAble to code with any python or any such programming language to calculate and present data.Key job responsibilities
Deliver reliable, scalable, and efficient business solutions by supporting all phases of the software development life cycle (SDLC), including requirements gathering, modeling & design, development, testing, deployment, integration, and documentation.Provide support and improvement across series of internally development models, systems and tools.

- Bachelor's Degree in Information Systems, Computer Science, Engineering, Math, Finance/Accounting, or a related discipline
- 1+ year experience working in financial planning/budgeting, business analysis, or a related analytics field that includes financial modeling, problem solving, and gathering/translating business requirements
- 1+ year experience working with IBM Cognos TM1 (Planning Analytics) solutions or related Performance Management technologies (Hyperion, SAP, Anaplan or similar)

- Experience with dimension management software processes and MDM tools
- Experience with Python, particularly TM1Py.
- Project management & reporting experience, and familiarity with software development methodologies
- Familiarity with AWS solutions such as S3 and Redshift · Knowledge of SQL authoring, RDBMS database interaction, data warehousing concepts, or third-party ETL tools
- Successful experience working in a fast-paced, results-oriented environment

On-site Manufacturing Engineers work closely with our CMs to scale up our production on NPIs and ensure that we can meet the production and quality targets. You will also work with ODMs, CMs, internal AWS hardware and software development teams, and with upstream component vendors to monitor and improve the incoming hardware quality of AWS products both proactively in the design phase as well as monitoring, reporting and investigating any early-life product failures. This role requires the engineer to be a technical contact and take on full ownership of the manufacturing launch and resolution of process issues. You will be the driver in getting production up and running, understanding root cause of hardware failures and resolving gaps in our suppliers manufacturing processes.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Key job responsibilities
- Manage quality at the CM
- Provide On-Site support to new product launches as well as sustaining issues
- Design in quality and manufacturability on new designs of servers and racksAmazon Web Services (AWS) values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelor's or Master’s degree in Industrial, Manufacturing Engineering or similar related field or equivalent experience
- 2+ years of Manufacturing Engineering work experience with server platforms or on high-tech hardware
- 5+ working with manufacturing suppliers to improve incoming quality of systems
- 5+ years Experience reducing cycle time and improving labor efficiency

About OpsTech IT
About The Role
As an IT Support Associate II, you will use your skills to support the operations team in resolving technical problems within Amazon operations facilities in a defined geographical area that span across a multitude of technical disciplines. We are committed to improvement; you will be encouraged to participate in career development opportunities as presented to progress your career at Amazon.Key job responsibilities
Responsibilities include, but are not limited to- Handling support requests and procedures across the network.
- Assisting in training new hires.
- Continuous learning of new technologies.- Moving up to 49lbs as well as standing and walking for shifts lasting up to 12 hours.

- Experience troubleshooting integrated and interdependent computer systems
- Experience maintaining zebra thermal printers, troubleshooting thin clients, PCs, scanners, and portable handheld terminals
- 1+ years of corporate setting Windows, Mac or Linux Operating systems support experience
- High school or equivalent

- CompTIA A+, CompTIA Network+, Cisco/CCNA, Linux (Redhat), Microsoft hardware (installation), AWS, or other industry relevant certifications
- Experience in a dynamic environment with a high degree of customer service