Data Analyst Student, Nitro team
Haifa, HA, ISR
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
Annapurna Labs, as part of AWS, is looking for Data analyst student for the Nitro cards product team (https://aws.amazon.com/ec2/nitro/). Our products include the most advanced interfaces and technologies and widely used across AWS data centers as backbone for Nitro and other services. As a Data Analyst student, you will take ownership of data analysis efforts aimed at improving the production health and support of Annapurna Labs' Nitro cards on the manufacturing production floor.
Key job responsibilities
- Building and maintaining systems analyzing large scale data using advanced Amazon tools - Open Serach, QuickSight etc.
- Performing data analytics on gathered data and providing data driven recommendations
- Cooperate with Annapurna Labs monitoring team and other root cause teams to improve quality and reliability of products operation in the fleet
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
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.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Early Career Talent
When you join Amazon Web Services as a student or recent graduate, you’ll have the chance for your voice to be heard and amplified. That’s because our teams are looking to learn as much from you as you’ll learn from them. Whether you’re graduating with a high school or equivalent diploma, associate degree, bachelor’s degree, MBA, or PhD, we offer a range of early career opportunities across the globe.
- BSc student of Information systems / Computer / SW or Data Science Engineering, , with at least 4 semesters (2 years) left before graduation. **Please include a grade sheet/academic transcript along with your CV in a single PDF when submitting your application.
- Basic skills in Python coding, SQL and data analytics.
- Advanced SW coding and Excel knowledge.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Annapurna Labs, as part of AWS, is looking for Data analyst student for the Nitro cards product team (https://aws.amazon.com/ec2/nitro/). Our products include the most advanced interfaces and technologies and widely used across AWS data centers as backbone for Nitro and other services. As a Data Analyst student, you will take ownership of data analysis efforts aimed at improving the production health and support of Annapurna Labs' Nitro cards on the manufacturing production floor.
Key job responsibilities
- Building and maintaining systems analyzing large scale data using advanced Amazon tools - Open Serach, QuickSight etc.
- Performing data analytics on gathered data and providing data driven recommendations
- Cooperate with Annapurna Labs monitoring team and other root cause teams to improve quality and reliability of products operation in the fleet
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
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.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Early Career Talent
When you join Amazon Web Services as a student or recent graduate, you’ll have the chance for your voice to be heard and amplified. That’s because our teams are looking to learn as much from you as you’ll learn from them. Whether you’re graduating with a high school or equivalent diploma, associate degree, bachelor’s degree, MBA, or PhD, we offer a range of early career opportunities across the globe.
Basic Qualifications
- BSc student of Information systems / Computer / SW or Data Science Engineering, , with at least 4 semesters (2 years) left before graduation. **Please include a grade sheet/academic transcript along with your CV in a single PDF when submitting your application.
- Basic skills in Python coding, SQL and data analytics.
Preferred Qualifications
- Linux OS knowledge- Advanced SW coding and Excel knowledge.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
5
2
0
Category:
Analyst Jobs
Tags: AWS Data analysis Data Analytics EC2 Engineering Excel Linux PhD Python QuickSight Security SQL
Perks/benefits: Career development Conferences Flex hours Team events
Region:
Middle East
Country:
Israel
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
BI Developer jobsData Engineer II jobsPrincipal Data Engineer jobsStaff Data Scientist jobsSr. Data Engineer jobsPrincipal Software Engineer jobsStaff Machine Learning Engineer jobsData Science Manager jobsData Manager jobsDevOps Engineer jobsData Science Intern jobsSoftware Engineer II jobsJunior Data Analyst jobsData Analyst Intern jobsLead Data Analyst jobsBusiness Data Analyst jobsBusiness Intelligence Analyst jobsStaff Software Engineer jobsData Specialist jobsSenior Backend Engineer jobsAccount Executive jobsData Governance Analyst jobsSr. Data Scientist jobsAI/ML Engineer jobsData Engineer III jobs
Consulting jobsAirflow jobsOpen Source jobsMLOps jobsKPIs jobsLinux jobsEconomics jobsJavaScript jobsRDBMS jobsTerraform jobsData Warehousing jobsKafka jobsNoSQL jobsGitHub jobsGoogle Cloud jobsPostgreSQL jobsComputer Vision jobsScikit-learn jobsPhysics jobsClassification jobsStreaming jobsBanking jobsHadoop jobsR&D jobsLooker jobs
dbt jobsData warehouse jobsOracle jobsRAG jobsScala jobsBigQuery jobsPandas jobsPrompt engineering jobsGPT jobsReact jobsCX jobsScrum jobsDistributed Systems jobsPySpark jobsIndustrial jobsELT jobsJira jobsRedshift jobsMicroservices jobsLangChain jobsSAS jobsJenkins jobsOpenAI jobsSalesforce jobsRobotics jobs