Data Analyst Student

Description

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. The candidate will own data analysis and will enable improving card production health and support for Annapurna Labs' Nitro cards in the Production floor of our manufacturers.

As a member of a product team you will own building and maintaining systems organizing and analyzing card production data for Nitro cards. You will use the data to enable data driven actions improving health of the cards. You will deal with large scale data and complex systems gathering the data.

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.

Company - Annapurna Labs Ltd.

Job ID: A2935138