[ref. v84931017] Associate Data Analytics Consultant, A2C - London
You will apply your deep 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, in particular the greater London area and Kent.
Key job responsibilities
The Data Analytics Consultant is an emerging leader with previous experience in a Data Analytics role. The Data Analytics Consultant will assist on projects. The ideal candidate will have extensive experience with design, development and operations that leverages deep knowledge in the use of 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
AWS ProServe engages in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered, and drive feature innovation based upon customer needs.
You will also have the opportunity to create white papers, write blogs, build demos and other reusable collateral that can be used by our customers. Most importantly, you will work closely with our Solution Architects, Data Scientists, and Service Engineering teams.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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 (gender 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.
AWS ProServe is dedicated to supporting new team members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a rounded professional and enable them to take on more complex tasks in the future.
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.Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (or equivalent experience), with 2+ years of 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.
Hands-on experience with large-scale data science/analytics projects and machine learning infrastructure.
Proficiency in cloud technologies, particularly AWS services like Kinesis, and big data tools such as Hadoop, Spark, and Kafka.
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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/content/en/how-we-hire/accommodations.