Experienced Data Analyst for Amazon - Full-Time Remote Opportunity with Competitive Hourly Rate

Unlock Your Career Potential with Amazon's Cutting-Edge Data Analysis Team

Join the ranks of Amazon's innovative data analysis professionals and be part of a dynamic team that drives business success through data-driven insights. As a key member of our Corporate Framework Administrations (CIS) team, you will play a crucial role in designing, executing, and delivering critical data solutions that empower our organization to become a data-first powerhouse.

About Amazon and the CIS Team

At Amazon, we're committed to being the world's most customer-centric organization, where individuals can find and discover anything they need to buy online. Our CIS team is at the forefront of this mission, employing the world's brightest talent to create a climate where they can continually improve the customer experience. As a Data Analyst on our team, you will have the opportunity to work on complex data projects, collaborate with cross-functional teams, and drive business growth through data analysis and insights.

Key Responsibilities

• Supervise the data engineering work of various specialists on the project, ensuring high-quality deliverables and timely completion.
• Design, develop, and deliver scalable and efficient data solutions that meet business requirements and drive customer satisfaction.
• Ensure the quality, reliability, and security of data solutions through rigorous testing, monitoring, and improvement.
• Build and deliver high-quality data architecture and pipelines to support business reporting needs and drive data-driven decision-making.
• Monitor data pipelines and proactively identify and resolve any performance or reliability issues, ensuring seamless data flow and minimal downtime.
• Ensure data quality and reliability by implementing data validation, error handling, and data cleansing techniques, maintaining the highest standards of data integrity.
• Collaborate with various teams to extract, transform, and load data from a wide variety of data sources, including CSV, Excel, Email attachments, SmartSheet, and more.
• Work closely with business clients, technical teams, and operations teams to address business requirements and deliver against high operational standards of system availability and reliability.
• Develop and enhance software to extend system, application, or tool functionality, improving business processes and meeting end-client needs while working within the overall system architecture.
• Analyze and resolve operational issues, perform detailed root cause analysis, and answer ideas for improvements, driving continuous innovation and growth.
• Document data engineering processes, workflows, and best practices to ensure knowledge sharing and maintain a robust knowledge base.

Essential Qualifications

To succeed in this role, you will need to possess the following essential qualifications:

• A four-year degree in Computer Science, Engineering, Mathematics, or a related discipline, providing a solid foundation in technical skills and knowledge.
• Experience providing oversight to data engineering projects, demonstrating leadership and project management skills.
• Proven expertise with building, developing, maintaining, and enhancing scalable database systems, including data modeling, data warehousing, and building ETL pipelines alongside reporting solutions.
• Broad AWS experience, including hands-on experience with AWS Glue, AuroraDB (MySQL) - RDS, Amazon Workmail, Amazon SES, S3, Lambda, Redshift, SQS, IAM (Client, Group, Jobs, and Permissions), VPC, and Infra provisioning and related components.
• Experience working with modern data architectures, Lambda-type models, and proficiency in writing and upgrading SQL.
• Knowledge and involvement in Open Source Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.), demonstrating a commitment to staying up-to-date with industry trends and advancements.
• 2+ years of development experience in Python, Ruby, Scala, or other platform-related big data technology, showcasing programming skills and adaptability.
• Knowledge of professional programming practices and best practices for the full software development lifecycle, including coding principles, code reviews, source control management, build cycles, testing, and operations.
• Experience building Reporting systems like QuickSight, PowerBI, or others, and knowledge and experience building data warehouse reporting systems for Business Analysis (any technology).
• Experience with responsive design and UI working for data entry systems (Writeback reporting systems), demonstrating an understanding of user experience and interface design.

Preferred Qualifications

While not essential, the following preferred qualifications will be considered a plus:

• Experience with SmartSheet or Asana or HoneyCode or Powerapp, showcasing familiarity with industry-specific tools and technologies.
• Javascript and/or React JS knowledge/involved insight, demonstrating an understanding of front-end development and JavaScript frameworks.
• Industry experience as a Data Engineer or related specialty (e.g., Programmer, Business Insight Specialist, Data Scientist) with a history of controlling, processing, and extracting value from large datasets.
• Experience building data products consistently and integrating and managing datasets from various sources, showcasing data integration and management skills.
• Query execution tuning skills using Unix profiling tools and SQL, demonstrating performance optimization and tuning expertise.
• Experience driving large-scale data warehousing and analytics projects, including using AWS technologies - Redshift, S3, EC2, Data pipeline, and other big data technologies.
• Experience with non-relational data sets/data stores (object storage, document or key-value stores, graph databases, column-family databases), showcasing knowledge of diverse data storage solutions.

Career Growth Opportunities and Learning Benefits

As a Data Analyst on our team, you will have the opportunity to grow your career and develop new skills in a dynamic and innovative environment. You will work on complex data projects, collaborate with cross-functional teams, and drive business growth through data analysis and insights. Our team is committed to ongoing learning and development, providing training and resources to help you stay up-to-date with industry trends and advancements.

Work Environment and Company Culture

At Amazon, we're committed to creating a culture of innovation, collaboration, and customer obsession. Our team is passionate about using data to drive business success and improve the customer experience. As a remote team member, you will have the flexibility to work from anywhere, while still being part of a tight-knit team that values communication, transparency, and teamwork.

Compensation, Perks, and Benefits

We offer a competitive hourly rate of $26/hour, as well as a comprehensive benefits package that includes health, dental, and vision insurance, 401(k) matching, and paid time off. Our remote work arrangement provides the flexibility to work from anywhere, and we're committed to providing a safe and inclusive work environment that supports your well-being and career growth.

Join Our Team!

If you're a motivated and experienced Data Analyst looking to drive business success through data analysis and insights, we want to hear from you! Please submit your application today to join our dynamic team and start your journey towards a rewarding and challenging career at Amazon.