Associate Data Analytics, Consultant AWS Professional Services A2C

Amazon; London; Remote; GBP 45,000 - 70,000; Full time

Job summary

A leading cloud services provider is seeking a Data Analytics Consultant to support customers in building data analytics solutions. You will apply your technical expertise to solve customer challenges, with responsibilities including designing infrastructure modules. The role involves up to 100% travel throughout the UK. Ideal candidates will have a Bachelor's degree in Computer Science or a related field and experience with services like Amazon Kinesis and Apache Spark.

Benefits

Flexible working conditions

Career development resources

Inclusive team culture

Qualifications

• Experience in data platform implementation and software development.
• Hands-on experience building data or machine learning pipelines.
• Familiarity with machine learning concepts.

Responsibilities

• Collaborate on key customer engagements to solve complex challenges.
• Design and code modules for infrastructure and applications.
• Guide customers in transforming their business with cloud solutions.

Skills

Data Analytics experience

Experience with Java, JavaScript, or Python

Strong technical communication skills

Education

Bachelor's degree in Computer Science or related field

Advanced degree (Masters or PhD) in relevant fields

Tools

Amazon Kinesis

Apache Kafka

Apache Spark

Amazon SageMaker

Amazon EMR

Job description

Description

Do you enjoy supporting and guiding customers and team members to build data analytics solutions? At AWS, we’re 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. You’ll 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, 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 (diversity) 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t 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 ( https://www.amazon.jobs/en/privacy_page ) 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 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.