Bie People Analytics Compensation Excellence Alx jobs at Amazon in United States, Seattle

Key job responsibilities- Work with engineering and the data warehouse to enable the appropriate capture and storage of key data points
- Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
- Participate in strategic & tactical planning discussions

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience with forecasting and statistical analysis
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

As an Amazon Software Development Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Role Overview
You should have a demonstrated ability delivering within a DevOps delivery model from scoping requirements, requirement analysis, design, development, test, CI/CD, security implementation, and operational excellence with the ability to work cross-functionally with Product Managers, business stakeholders and other tech teams through the actual launch of the project. You should also have experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.Benefits
• Competitive salary and equity compensation
• Comprehensive health, dental, and vision coverage
• 401(k) plan with company match
• Paid time off and parental leave
• Employee discount programKey job responsibilities
• Design, develop, and maintain scalable software solutions that meet business requirements and customer needs
• Lead technical solutions from conception through deployment, including architecture decisions and implementation strategies
• Participate in full software development lifecycle, including requirement analysis, design, development, testing, deployment, and operations
• Collaborate with cross-functional teams including Product Managers, Technical Program Managers, and other engineering teams
• Mentor junior engineers and contribute to improving team's technical practices
• Write high-quality, well-tested code following best practices and coding standards
• Participate in code reviews and contribute to technical documentation
• Drive operational excellence through monitoring, troubleshooting, and continuous improvementA day in the life
Work/Life Balance
Work Environment
Mentorship & Career Growth

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

The ideal candidate will have extensive experience working in complex data and analytics environments at scale, driving solutions to develop better data science practices, preferably within cloud computing environments. Experience with Machine Learning and other advanced analytics techniques is a must and you also need to be able to talk about these technical concepts in plain terms. The role requires both technical depth and the ability to lead and communicate effectively to stakeholders.Key job responsibilities
* Provide thought leadership and technical guidance on data science strategies and their application.
* Partner with product, engineering and design teams to develop and launch innovative data products.
* Lead the adoption of Gen AI and ML-based approaches across data science practice and lead proof of concept initiatives of AI-driven customer use cases.
* Advance our analytics techniques, including statistical analysis and complex data mining, to deliver faster, deeper insights that shape the AWS user experience.
* Build production ready advanced analytics solutions to drive effective business decisions.
* Communicate complex thinking easily at all levels.
* Innovate with new approaches, sharing new technical solutions and product ideas with the teams at AWS.
* Provide mentoring and guidance to the data science and analytics community.About the team
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.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

- Master's degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Computer Science or a related field

- * 8+ years of experience in data science roles with statistical data analysis/ modelling, and managing analytical projects end-to-end.
- * 5+ years of experience in machine learning, natural language processing, and deep learning.

As a Data Scientist on this team you will:
• Lead Data Science solutions from beginning to end.
• Deliver with independence on challenging problems with complexity and ambiguity.
• Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data.
• Build Machine Learning and statistical models to solve specific business problems.
• Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
• Analyze historical data to identify trends and support optimal decision making.
• Work closely with other researchers to design and implement advanced causal and predictive statistical models.
• Collaborate with Engineers to build scalable solutions that align with science priorities.
• Coordinate with senior business partners and our interdisciplinary team of UX researchers, data scientists, economists, and engineers to deliver real time insights into the corporate employee experience at Amazon.
Key job responsibilities
• Lead Data Science solutions from beginning to end.
• Deliver with independence on challenging problems with complexity and ambiguity.
• Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data.
• Build Machine Learning and statistical models to solve specific business problems.
• Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
• Analyze historical data to identify trends and support optimal decision making.
• Work closely with other researchers to design and implement advanced causal and predictive statistical models.
• Collaborate with Engineers to build scalable solutions that align with science priorities.
• Coordinate with senior business partners and our interdisciplinary team of UX researchers, data scientists, economists, and engineers to deliver real time insights into the corporate employee experience at Amazon.

- 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience

- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. You’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities
* Adhere to and promote all company safety protocols, maintaining a clean, organized, and hazard-free work environment.
* Actively engage in accident prevention initiatives and contribute to ongoing safety improvement efforts to foster a culture of workplace safety
* Travel within an assigned region to designated sites and perform professional quality field service repairs consistent with company standards
* Keep Generator Service Manager continually apprised of current priorities to assist in answering customer questions and problems when necessary
* Action requests for procurement of needed materials to perform assigned duties
* Document detailed, complete and correct descriptions of all repair operations performed
* Accurately record time, expenses, and mileage
* Lift up to 40 lbs; pushing and pulling a maximum force of 40 lbs
* Wear all Personal Protective Equipment (PPE) as required and provided by AWS
*Must have or be able to obtain and maintain a DOT Medical Card upon hiring.
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.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.

* High School Diploma or equivalent
* 2+ years working directly with generator systems
* 2+ years troubleshooting and repairing power generation equipment using standard safety procedures

* 2-year technical training program completion, or completion of a 3 year apprenticeship
* Trained on industrial power generation equipment
* Knowledge of engines, generators and load transfer equipment
* Demonstrate technical knowledge of electrical generator systems and related engine mechanical failures.

Our team, formerly PXT Central Applied Science, is now a vital part of the Amazon Manager Experience (AMX) organization. We're dedicated to revolutionizing management at Amazon through cutting-edge scientific solutions. We develop robust primitives that combine predictive modeling and generative AI, split evenly between these two domains. Our predictive models provide timely insights into talent attrition risks and team cost trajectories. Our generative AI applications include virtual coaching for performance reviews, promotion guidance, and talent development, as well as primitives that transform employee feedback into actionable strategies. By reducing subjective judgment and amplifying human effectiveness, we're enhancing the entire Amazon ecosystem. Our goal is to make Amazon an even better workplace by empowering managers with advanced technological solutions. As we look ahead, we see boundless opportunities to contribute to the AMX flywheel. We're shaping a future where data-driven insights and AI-assisted decision-making are the norm in people management. We serve as the bridge between applied science and day-to-day management realities at Amazon. Our work drives efficiency, fosters talent, and contributes to the success of both individuals and the organization as a whole.
We need a motivated, experienced Business Intelligence Engineer who can develop a comprehensive strategy for acquiring, analyzing, and deriving metrics to assess primitive effectiveness and extract employee feedback insights to leadership. In this role, you will:
• Identify critical metrics and establish essential analysis to measure the health, effectiveness and efficiency of the primitives developed by the team. Establish an ongoing mechanism to inspect the metrics and discover opportunities to improve them by working with the respective product managers.
• Invent new ways to analyze data and leverage modeling to extract insights from employee feedback mechanisms.
• Partner with Product Managers, Applied Scientists, Data Engineers and Software Engineers to design products and systems to transform and store data items using AWS technologies.
• Create self-service solution to enable product managers and leaders for real time audit, present overall program impacts and facilitate decision making.
Key job responsibilities

- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

BASIC QUALIFICATIONS
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 3+ years of hands-on analytics work experience, with proven quantitative orientation
- 3+ years of work experience using business intelligence tools like Tableau, QuickSight, PowerBI, etc. as well as advanced skills in Excel
- Hands on experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
- 2+ years of work experience in hands-on forecast modeling and statistical analysis
PREFERRED QUALIFICATIONS
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 2+ years of professional experience in building demand forecasting models or equivalent field
Key job responsibilities
Key job responsibilities:
- The role requires technical agility with understanding of forecasting methods and models
- Owning the analytics space including the BI architecture to support Forecast Planning cycles
- Design, develop and maintain scalable and reliable analytical tools, dashboards, and metrics that drive key forecast and planning decisions
A day in the life

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- 2+years of professional experience in building demand forecasting models or equivalent field