Data and Analytics Consultant
DESCRIPTION
AWS ProServe engage in a wide variety of projects for customers and partners, providing collective AWS customer experience, best practices, and technical skills for the Customer. Our team collaborates across the entire AWS organization to bring access to product, service, and training teams, to deliver the right solutions and drive feature innovations for our customers across all industries.
This role will focus on advising customers looking to enhance their business or operational outcomes through the use of Data and Analytics on AWS. In this role you will advise on architecture best practices, lead projects, manage customers stakeholders and conduct customer workshops and implement complex Data workloads with our customers and partners.
Key job responsibilities
- Advise customer’s technologists and business leads; help them to explore the art of the possible with Data and Analytics, and to develop scalable Data solutions on AWS to deliver business value in the most effective way
- Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail
- Drive and deliver large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to development, testing and roll out
- Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of Data and Analytics on AWS
- Provide technical leadership and excellence on customer engagements to ensure alignment on scope, deliverables, timeline and customer expected outcomes
About the team
Diverse Experiences
Amazon 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.
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.
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 and 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.
BASIC QUALIFICATIONS
- Bachelor's Degree or equivalent experience in STEM.
- 5+ years of experience with direct customer (internal or external) interaction with responsibilities in Data and Analytics solutions design, architecture and implementation (Data Lake, Data Warehouse, Lake House, Data Mesh, Data as a Product and Data Governance including Data quality and controls, etc..).
- Ability to think strategically about business, solutions and technical challenges.
- A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities
PREFERRED QUALIFICATIONS
- 3+ years Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI
- Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.
- AWS Experience and Certifications, including implementation of cloud-based Data and Analytics solutions.
- Ability to understand and educate customers on cloud computing technologies and workload transition challenges.
- Advanced degree desired (e.g., MBA, MS)