Associate Data Analytics, Consultant AWS Professional Services A2C

Do you enjoy supporting and guiding customers and team members to build data analytics solutions At AWS were 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. Youll 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 its 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 - Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 theres nothing we cant achieve in the cloud.

- Bachelors 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.

- 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.

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