Associate Data Analytics,Consultant AWS Professional Services A2C

Description
Do you enjoy supporting and guiding customers and team members to build data analytics solutions? At AWS, weu2019re hiring Data Analytics Consultants to collaborate with our customers and partners on key customer engagements. You will apply your technical expertise to solve complex customer challenges and develop cloud-based solutions at scale. You will guide customers through transforming their business with the combination of cultural philosophies, practices, and tools that deliver end-to-end applications and infrastructure solutions.

You will join as part of the AWS Professional Services (ProServe) Associate to Consultant (A2C) practice, which focuses on the accelerated career development of university graduates and early career professionals.

Our team members work with enterprise customers locally, regionally, domestically, and internationally. As such, this role has up to 100% travel associated. This role will be expected to work from customer sites throughout the UK.

AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. Youu2019ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

Key job responsibilities
The Data Analytics Consultant is an emerging leader with previous Data Analytics experience. The ideal candidate will have experience of design, development and operations using services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon SageMaker, Amazon EMR. The Data Analytics Consultant is comfortable rolling up their sleeves to design and code modules for infrastructure, application, and processes.

About the team
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, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying.

Why AWS? Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s 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, itu2019s 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 (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth – Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, thereu2019s nothing we canu2019t achieve in the cloud.
Basic Qualifications
– Bachelor\’s degree in Computer Science, or related field (or equivalent experience)
– Experience in data platform implementation and software development using languages like Java, JavaScript, or Python.
– Hands-on experience building data or machine learning pipelines, and familiarity with machine learning concepts.
– Strong technical communication skills, both written and verbal, with the ability to clearly convey complex technical information to diverse audiences.
Preferred Qualifications
– Advanced degree (Masters or PhD) in Computer Science, Physics, Engineering, or Mathematics.
– Experience with cloud technologies, particularly AWS services like Kinesis, and big data tools such as – Experience developing scalable, high-performance cloud software services.
– AWS Certification(s), such as Solutions Architect Associate and/or Data Analytics Specialty.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.