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Key job responsibilities
· Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available.
· Apply Statistical and Machine Learning methods to specific business problems and data.
· Create global standard metrics across regions and perform benchmark analysis.
· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
· Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.
· Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.
· Develop efficient data querying and modeling infrastructure.
· Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time.
· Utilizing code (SQL, Python, R, etc.) for analyzing data and building statistical models.
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Good written, verbal, listening and communication skills in English.
- Master Degree in Data Science, Analytics, Engineering, Computer Science, Math, Statistics with relevant experience.
- · Experience working with data visualization tools and creating data visualization concepts, such as Tableau or equivalent.
- · Hands on experience with statistical analysis, applying various machine learning techniques, predictive modeling and data mining.
- · Experience of statistical analysis and tools such as SAS, R, or equivalent.
- · Fluency in a scripting or computing language. (e.g. Python, C++, Java, etc.)
- · Experience in e-commerce with AI technology as a plus.
- · Natural curiosity and desire to learn.
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Key job responsibilities
Its responsibilities include:- Integrate partner planning and strategy into sales planning
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.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
- 3+ years of business development, partnership management, or sourcing new business experience
- Bachelor's degree or equivalent
- Experience using data and metrics to determine and drive improvements
- Experience in online advertising or high-tech products/services

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As a member of the AWS Professional Services Security, Risk, and Compliance Practice, you'll pioneer technically excellent security solutions supporting customer initiatives that are meaningful to their business. You'll collaborate with AWS service teams on new features, innovate with new technologies, and explore new challenges while working closely with customers to design, implement, and manage secure AWS solutions that meet their technical requirements, compliance needs, and business objectives.Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs with a focus on security and compliance requirements
- Providing technical guidance on best practices and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather security requirements and propose effective migration strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsA day in the life
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
Work/Life BalanceMentorship 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.
- BA/BS degree or equivalent experience
- 5 years' experience in IT security, compliance, or risk management.
- Familiarity with common attack patterns, exploitation and remediation techniques, with strong hands-on experience with mainline programming languages such as TypeScript, Python, or Go
- Result oriented, high energy, self-motivated with excellent communication, work prioritization and analytical skills
- Ability to travel to client locations to deliver professional services as needed
- AWS Professional level certifications preferred (Solutions Architect Professional, Machine Learning Engineer Associate)
- Industry-recognized security credentials including CISSP, CISA, CREST, and privacy certifications (CIPP, CIPT, CIPM)
- Demonstrated hands-on expertise in architecting, building, and deploying enterprise-grade security solutions and infrastructure
- Extensive implementation experience with advanced security technologies including SSO, Federation, WAF, IPS, Anti-DDoS, and SIEM
- Proven experience implementing security controls to meet industry compliance requirements such as PCI DSS, ISO 27001/27701, GDPR, and NIST Frameworks

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Your responsibilities will include engaging with key industry customers, engaging strategic industry partners, attending and speaking at industry events, leading the process to enable industry solutions, and create significant new business opportunities for AWS. You will enable the AWS BD teams selling to industry accounts to drive their day-to-day interactions with key prospects. You will work closely with AWS Solutions Architects to develop and promote cloud patterns and solutions, including partner based solutions etc. You will work closely with the AWS product and services teams , Global Logistics Industry team and Amazon Global Logistics BU to help evolve AWS offerings for more rapid adoption by Logistics customers.Requirements:
• Industry Expertise: Proven experience the logistics industry, with a comprehensive understanding of business systems
• Cloud Experience: Mid-level understanding of cloud computing concepts and their practical application in the transportation and logistics industry. Familiarity with platforms such as AWS, Azure, Aliyun or Huawei cloud is a plus.
• Digital Transformation Experience: Experience in leading or contributing to digital transformation projects in the transportation and logistics sector, particularly those involving cloud-based innovations like IoT integration, AI-powered demand forecasting, or automated warehouses..
• Consultative Mindset: Proven ability to engage with clients at all levels, from C-suite to operations, and translate business needs into technical solutions.
• Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Education & Experience: Bachelor’s degree in Supply Chain Management, Logistics, Transportation, or a related field. Advanced degrees are preferred.
Key job responsibilities
Roles & Responsibilities:• Identify and engage key customers, and key partners including ISVs and SI partner to drive the adoption of AWS industry solution.
• Build business development pipeline by engaging with key prospects and partners.
• Understand the technical requirements of our customers and work closely with the internal development teams to guide the direction of our offerings for the Logistics industry.
• Present business reviews to the management team regarding progress and roadblocks to expanding our coverageAbout the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
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
- 5+ years of developing, negotiating and executing business agreements experience
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience with technology transformation initiatives

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Key job responsibilities• Facilitate Working Backwards workshops with customer executive groups. Lead and coordinate translation of those solutions into working cloud prototypes, working with relevant engineering and services teams, and partners where appropriate.
• Build value propositions/ business cases. Train & enable local sales teams to help qualify customers, and – in some cases – lead elements of the digital innovation engagement. Effectively track and articulate the value of engagements underway, and major wins.
• Share knowledge effectively across the WW team. Help develop and improve the Innovation & Transformation engagement model based on engagement experience. Work with the Partner team to identify, engage and enable partners who can accelerate our approach to digital innovation and transformation.
• Conduct customer briefings, present at customer events, further AWS solutions-led thought leadership in the innovation domain.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.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
- 3+ years of business development, partnership management, or sourcing new business experience
- Bachelor's degree or equivalent
- Experience using data and metrics to determine and drive improvements
- Experience in online advertising or high-tech products/services

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• Expertise - Collaborate with AWS field sales, pre-sales, services teams, training and support teams to help partners and customers learn and use AWS services in Analytics area, especially in data warehouse and data lake technologies.• Solutions - Deliver one to many sessions to enable the internal/external teams, support key analytic engagement in GCR, develop reusable technical solutions/contents from AWS services, and harvest valuable assets as landing zones, and cooperate with global team to drive more customer obsession services on AWS.• Entablements - Engagements include short on-site projects proving the use of AWS services to support analytic solutions that often span across different services. Engagements may include migration of existing applications and development of new applications using AWS cloud services.• Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with the Great China Region as well as worldwide AWS solution architect community
Key job responsibilities
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.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
- 4+ years of design, implementation, or consulting in applications and infrastructures experience
- 7+ years of IT development or implementation/consulting in the software or Internet industries experience
- Familiar with services and products related to data analysis, for example: Redshift, EMR, OpenSearch, Flink, Spark, Hbase, Kafka, Kinesis, Trino, Hudi, Iceberg, etc.
- Experience in deploying and maintaining big data projects.

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Extracting insights and actionable information from data requires a broad array of technology that can work with data efficiently, scalable, and cost-effectively. With 70+ services offers the most complete platform for Big Data including a comprehensive set of services to handle every step of the analytics process chain including data warehousing, business intelligence, batch processing, stream processing, machine learning, and data workflow orchestration. These services are powerful, flexible, and yet simple to use, enabling organizations to put their raw data to work quickly and easily.As a GTM Specialist, your responsibilities will include deep-diving the services you own, identifying the value proposition in GCR (Great China Region) market, and enabling the account team drive the day-to-day interactions with prospects in order to build long-term business opportunity. You’ll also work closely with product/service teams to help them evolve the products/services and address issues, concerns, and requests from the field.
Key job responsibilities
1) Drive overall market and technical strategy as it relates to AWS Big Data & Analytics services.
6) Work closely with the customer base to ensure they are successful using AWS web services, making sure they have the technical resources required.
7) Understand the technical requirements of our customers and work closely with the internal development teams to guide the direction of our product offerings.
8) Develop long-term strategic partnerships and handle a high volume of engagements and the fast pace of the cloud computing market
9) Experienced with account management (Enterprise, SMB and startup) and solution selling ability.
A day in the life2) Understand product positioning in the market and in front of competitors.
3) design Go-to-Market strategy of the product and track the results with adjustment during execution.
6) Partner Synergy as either sell to/with/through them.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.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
- 3+ years of business development, partnership management, or sourcing new business experience
- Bachelor's degree or equivalent
- Experience using data and metrics to determine and drive improvements
- Experience in online advertising or high-tech products/services
- Experience setting up and managing a sales pipeline

Share
Key job responsibilities
· Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available.
· Apply Statistical and Machine Learning methods to specific business problems and data.
· Create global standard metrics across regions and perform benchmark analysis.
· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
· Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.
· Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.
· Develop efficient data querying and modeling infrastructure.
· Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time.
· Utilizing code (SQL, Python, R, etc.) for analyzing data and building statistical models.
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Good written, verbal, listening and communication skills in English.
- Master Degree in Data Science, Analytics, Engineering, Computer Science, Math, Statistics with relevant experience.
- · Experience working with data visualization tools and creating data visualization concepts, such as Tableau or equivalent.
- · Hands on experience with statistical analysis, applying various machine learning techniques, predictive modeling and data mining.
- · Experience of statistical analysis and tools such as SAS, R, or equivalent.
- · Fluency in a scripting or computing language. (e.g. Python, C++, Java, etc.)
- · Experience in e-commerce with AI technology as a plus.
- · Natural curiosity and desire to learn.
These jobs might be a good fit