דרושים Data Analyst Amazon Warehouse & Distribution Awd ב-אמזון ב-United States, Nashville

Our work spans Demarcation Rooms, MDFs, IDFs, power systems (UPSs, ATSs, PDUs), fault-managed power, cooling and containment, Computers on Wheels (COWs), telecommunications, and distributed edge compute infrastructure to enhance data processing and reduce latency.Key job responsibilities
Program & Project Execution- Oversee end-to-end execution of large-scale infrastructure projects, ensuring timely and cost-effective delivery.
- Develop project roadmaps, schedules, and deliverables, balancing scope, resources, and risk.
- Ensure alignment with Amazon’s infrastructure standards, compliance, and operational requirements.Risk Management & Compliance- Partner with Deployment Program Management (DPM) to escalate exceptions and deviation approvals.Operational Support & Process Improvement
- Support lifecycle and remediation projects, ensuring seamless transition from deployment to operational ownership.
- Drive continuous improvement initiatives, optimizing infrastructure deployment processes and cost-efficiency.Stakeholder Communication & Leadership- Act as an interface between engineering, operations, and senior leadership, providing structured updates on program progress, challenges, and risk mitigation strategies.A day in the life- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan

- 5+ years of technical management experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Excellent verbal and written communication skills, with experience influencing technical and non-technical stakeholders.
- Experience managing large-scale deployments across multiple sites, regions, or countries.
- Experience with risk management, compliance, and vendor negotiations.

- Background in data center operations, hardware deployments, or fulfillment center infrastructure

Key job responsibilities
Infrastructure System Development & Automation
- Build scalable APIs, microservices, and integration solutions to streamline infrastructure monitoring and control.
- Create automated deployment frameworks for configuring, provisioning, and managing critical infrastructure components.
Monitoring & Data Analytics- Design and implement real-time dashboards for power monitoring, HVAC performance, and network infrastructure health.
- Develop data analytics pipelines to process and analyze infrastructure telemetry, supporting predictive maintenance and anomaly detection.Operational Support & Incident Response- Automate incident detection, alerting, and response workflows to minimize downtime and improve infrastructure reliability.
- Support Sev1/Sev2 incident response, developing automated troubleshooting and remediation tools for infrastructure failures.
- Work with DCIO Engineers to enhance on-call operations through software-defined automation.
- Participate in post-incident reviews (PIRs), implementing software-driven solutions to prevent recurrence.Infrastructure Integration & Standardization- Develop and maintain OpenDCIM-based systems to track power, cooling, and network infrastructure assets.- Support integration of Fault-Managed Power (Project Constellation), Fiber Media Conversion (Project Opti-Bridge), and Split CT Power Monitoring solutions into automated workflows.- Partner with TPMs to define software solutions for infrastructure lifecycle management, remediation projects, and scalability initiatives.
- Work with DCIE Engineers to implement self-healing infrastructure capabilities through automation and AI-driven insights.
- Continuously improve developer operations (DevOps) and infrastructure automation practices within DCIE.A day in the life
As an SysDev in DCIE, you’ll begin your day reviewing infrastructure telemetry dashboards and overnight logs to identify anomalies or performance degradations across Amazon Fulfillment Centers. You’ll then sync with Technical Program Managers (TPMs) and DCIE Engineers to prioritize active workstreams, whether it’s scaling power monitoring pipelines, deploying automation for HVAC lifecycle tracking, or integrating new telemetry sources into the DCIM platform. Midday, you’ll be coding—whether building out RESTful APIs, refining predictive maintenance models, or developing automation scripts for infrastructure deployment. You’ll participate in design reviews, contribute to PIRs, and resolve automation or telemetry-related blockers raised by on-call engineers. Your day ends with sprint planning or roadmap check-ins, driving progress on scalable, self-healing infrastructure systems that improve uptime, efficiency, and global visibility for thousands of Amazon sites.
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
We enable Operations Technology Solutions (OTS) by delivering high-performance power, cooling, structured cabling, edge compute, and automation solutions that ensure reliable and efficient on-premises hardware operations.Our work spans Demarcation Rooms, MDFs, IDFs, power systems (UPSs, ATSs, PDUs), fault-managed power, cooling and containment, Computers on Wheels (COWs), telecommunications, and distributed edge compute infrastructure to enhance data processing and reduce latency.

- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix
- Experience with CI/CD pipelines build processes
- 3+ years of experience in software development, systems engineering, or infrastructure automation.
- Proficiency in Python, Java, Go, or another high-level programming language.
- Experience developing RESTful APIs, microservices, and cloud-based infrastructure solutions.
- Strong background in infrastructure automation (Terraform, Ansible, AWS CloudFormation, etc.).
- Familiarity with database systems (SQL, NoSQL, or Time-Series DBs like InfluxDB, Prometheus, etc.).
- Hands-on experience with monitoring and logging platforms (Grafana, Kibana, Splunk, AWS CloudWatch, etc.).
- Experience with DevOps, CI/CD, and version control (Git, GitHub, Jenkins, etc.).

- Experience with distributed systems at scale
- Experience with data center infrastructure monitoring, automation, and DCIM platforms.
- Knowledge of power systems (UPS, ATS, PDU), HVAC, and structured cabling infrastructure.
- Hands-on experience with IoT, telemetry data processing, and edge computing.
- Experience with AI/ML applications for predictive maintenance and anomaly detection.
- Background in network automation and SDN (Software-Defined Networking).

Key job responsibilities
1. Drive technical excellence across multiple domains, from machine learning-based forecasting to high-throughput, low-latency pricing systems.
2. Partner effectively with business stakeholders, translating complex business requirements into clear technical direction.
3. Lead and develop senior technical talent and foster a strong engineering culture that empowers innovation.
4. Balance immediate business needs with long-term technical health, making judicious tradeoffs and investments.
5. Navigate the complexity of our business, understanding the interplay between contract and spot markets, and how technology can be leveraged to optimize across both.

- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

The DSP DA Lifecycle Experience & Services (DLXS) team is looking for a Business Analyst (BA) that's a motivated self-starter, that can work in a fast paced, data-driven environment. The successful candidate will be an analytical problem solver, and have an extremely high level of customer focus. This role requires developing dashboards, deep diving various data sets to identify trends, risk indicators, and opportunities to support overall program delivery. This role requires proficiency in SQL, a can-do attitude, and a strong desire to Learn and Be Curious.*Travel may be required once a quarter.Key job responsibilities
- Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into actionable reports/dashboards
- Translate data into actionable insights
- Identify processes to automate and scale ad-hoc requests and analyses

- Experience with SQL
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 3+ years of business or financial analysis experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders

- 3+ years of business analyst, data analyst or similar role experience

As you further your career as a Compliance Data Analyst at Amazon, you will focus on improving corporate reporting frameworks and data visualization. You will analyze performance data, discover and solve real world problems and build metrics and link analysis packages to improve decision making. We are focused on your success and want to build strong leaders within Amazon Transportation Services. You can expect to leverage your analytical skills and have ownership of the projects you work on.Key job responsibilities
• Retrieving and analyzing data using SQL, Excel, Access and other data management systems
• Building and deploying Link Analysis visualizations, heat maps, cluster frameworks, and dashboards to support compliance investigations
• Monitoring existent metrics, analyzing data and partnering with internal teams to identify process and system improvement opportunities
• Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions
• Drive small to medium operational enhancement projects
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets and model data and metadata to support ad-hoc and pre-built reporting
• Communicate complex analysis and insights to stakeholders and business leaders, both verbally and in writing

- High school or equivalent
- 1+ year of experience in STEM, military or law enforcement intelligence, cybersecurity, OSINT, or related fields.
- Experience with Excel, including Pivot Tables, VLOOKUP, Macros,Power Query, Conditional Formatting and similar functions.

- Bachelor's degree or equivalent
- Experience with Tableau, AWS QuickSight, Power BI, or other data visualizations software
- Experience in modeling and analyzing complex logistics networks
- Experience with SQL
- Experience using route and load optimization tools as well as transportation management systems
- Experience using link analysis platforms such as I2 Analyst Notebook, FiveCast, Palantir, etc.

As a Software Development Manager you will be responsible for leading a multi-functional team of engineers to design, develop, test, and launch new features and products. You will lead the teams through a significant time of change, as Amazon Freight scales our technology. You will be part of a team owning core ordering, billing, and customer platforms end to end. You will be responsible for driving an engineering teams priorities based on a combination of data, customer anecdotes, and technical challenges to move the business forward. You will drive a transformation to track our order lifecycle end to end and provide insights to all facets of the business to drive decision making.A day in the life

- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

As you further your career as a Compliance Data Analyst at Amazon, you will focus on improving corporate reporting frameworks and data visualization. You will analyze performance data, discover and solve real world problems and build metrics and link analysis packages to improve decision making. We are focused on your success and want to build strong leaders within Amazon Transportation Services. You can expect to leverage your analytical skills and have ownership of the projects you work on.Key job responsibilities
• Retrieving and analyzing data using SQL, Excel, Access and other data management systems
• Building and deploying Link Analysis visualizations, heat maps, cluster frameworks, and dashboards to support compliance investigations
• Monitoring existent metrics, analyzing data and partnering with internal teams to identify process and system improvement opportunities
• Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions
• Drive small to medium operational enhancement projects
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets and model data and metadata to support ad-hoc and pre-built reporting
• Communicate complex analysis and insights to stakeholders and business leaders, both verbally and in writing

- High school or equivalent
- 1+ year of experience in STEM, military or law enforcement intelligence, cybersecurity, OSINT, or related fields.
- Experience with Excel, including Pivot Tables, VLOOKUP, Macros,Power Query, Conditional Formatting and similar functions.

- Bachelor's degree or equivalent
- Experience with Tableau, AWS QuickSight, Power BI, or other data visualizations software
- Experience in modeling and analyzing complex logistics networks
- Experience with SQL
- Experience using route and load optimization tools as well as transportation management systems
- Experience using link analysis platforms such as I2 Analyst Notebook, FiveCast, Palantir, etc.