דרושים Workforce Analyst Data Autonomous Aircraft Da2 Prime Air ב-אמזון ב-Mexico, Orizaba

Opportunity
You will be part of a team of creative, top-notch engineers who work hard, have fun, and make history.
As a Support Engineer, you will build systems that secure and govern our data end to end: control access across multiple storage and access layers (like in-house Applications and external aplications ), track data quality, catalogue datasets and their lineage, detect duplication, audit usage and ensure correct data semantics.You will be responsible for crunching and providing support for petabytes of in-coming data from dozens of sources and financial events around the company.Platform runs entirely on AWS; high scale, cutting edge engineering challenges.We regularly research new technologies and invest for the future of our scalabilityThis role is on the Chronicle team within Selling Partner Services. We own the Turismo product suite, which is powered by Ripple, a dynamic query engine. Turismo is a well loved product, with 15k+ users globally. Ripple is a PrestoDB based query engine that is built to scale, and processes 2M+ queries per week. We are a full stack team, with Product managers, UX designers, TPMs, SDEs, DEs and Data Scientists.Key job responsibilities
* Provide support of incoming tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services
* Work on operations and maintenance driven coding projects
* Software deployment support in staging and production environments
* Develop tools to aid operations and maintenance
* System and Support status reporting
* Ownership of one or more ETL products or components
* Customer notification and workflow coordination and follow-up to maintain service level agreements
* Work with support team for handing-off or taking over active support issues and creating a team specific knowledge base and skill sets

- Experience scripting in modern program languages
- Experience troubleshooting and documenting findings
- 4+ years of experience writing and analyzing advanced SQL queries.

- 3+ years of technical support experience
- 3+ years as a SME/lead of of data engineering related teams.
- Experience onboarding data pipelines

This individual has proficiency in employing business intelligence solutions, excellent analytical abilities, strong business operations fundamentals, and good judgment. The role will be responsible for enhancing PV’s Global Marketing Operations data collection, operational metrics, and partner reporting capabilities in order to build the data infrastructure. In this role, you will be responsible for developing operational, marketing, and human capital data into an automated reporting suite, and leveraging tools and expertise that will enable PV to map enterprise strategies into actionable delivery plans. You will influence data driven business decisions that results in quantifiable outcomes, understanding complex business relationships, and developing a correlation between your work and PV’s financial drivers.Key job responsibilities
* Design, develop and maintain scaled, automated, user-friendly systems, ongoing metrics, reports, APIs, dashboards, etc. that will support our business needs.* Apply your deep analytic and business intelligence skill to extract meaningful insight and learning from large and complicated data sets.
* Prepare management reporting and monitor performance by collecting, analyzing and summarizing performance data and trends, identifying and resolving problems and developing recommendations
* Design and influence operational best practices for reporting and analytics to enable the team to scale as we grow presence in new and existing territories.* Help drive new initiatives and data integration projects.
* Serve as liaison between the Business and Product/Technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.* Create marketing campaign forecasting capability that optimizes budget and staffing to meet marketing needs
* Prioritize effectively in a fast-paced environment and highly-matrixed organization.

- 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

Key job responsibilities
- Retrieve and analyze data using SQL, Excel, and other data management systems.- Drive small to medium operational enhancement projects.
Support Ops Analytics is dedicated to delivering timely data insights to the leaders of Support Operations. We create dashboards, reports, and data pipelines to enable our stakeholders to move as quickly as possible in meeting our goals while maintaining a quality selling partner experience.

- 3+ years of business analyst, data analyst or similar role experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with Excel
- Experience with SQL

Responsibilities:
- Understand the various operations across Payment Risk
- Design and develop highly available dashboards and metrics using SQL and Excel/Tableau- Understand the requirements of stakeholders and map them with the data sources/data warehouse- Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies- Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)Key job responsibilities
• Understand the various operations across Payment Risk• Design and develop highly available dashboards and metrics using SQL and Excel/Tableau/QuickSight• Understand the requirements of stakeholders and map them with the data sources/data warehouse• Own the delivery and backup of periodic metrics, dashboards to the leadership team• Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies• Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Analytics managers• Perform business analysis and data queries using appropriate tools• Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)

- Bachelor's degree in business, engineering, statistics, computer science, mathematics or related field
- 1+ years of tax, finance or a related analytical field experience
- Experience creating complex SQL queries joining multiple datasets, ETL DW concepts
- Experience defining requirements and using data and metrics to draw business insights
- Experience demonstrating problem solving and root cause analysis
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
- Experience using databases with a large-scale data set
- 1+ year of experience working in Analytics / Business Intelligence environment with prior experience of design and execution of analytical projects

- Experience in Amazon Redshift and other AWS technologies
- Experience scripting for automation (e.g., Python, Perl, Ruby)
- Experience using Python or R for data analysis or statistical tools such as SAS
- Experience in e-commerce / on-line companies in fraud / risk control functions
- Analytical mindset and ability to see the big picture and influence others
- Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to extract data from various sources and to design/construct/execute complex analyses to finally come up with data/reports that help solve the business problem
- Good oral, written and presentation skills combined with the ability to be part of group discussions and explaining complex solutions
- Ability to apply analytical, computer, statistical and quantitative problem solving skills is required
- Ability to work effectively in a multi-task, high volume environment
- Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations

Key job responsibilities
As a Data Associate some of your responsibilities will be, but not limited to:
• Be the go-to expert for our ML data team, guiding others on how to collect and label data correctly while managing various projects
• Help create high-quality training data for our ML models by carefully reviewing and labeling complex data examples
• Create and update clear instructions and guidelines that help our team work consistently and efficiently
• Monitor and improve the quality of our data by tracking important measurements and finding ways to make our processes better
• Work closely with engineers, scientists, and project managers to improve how we handle and process data
• Solve complex problems by finding their root causes and implementing lasting solutions
• Help make our tools and processes more efficient, often through automation
• Keep projects on track by coordinating with team members and clearly communicating progress
• Lead initiatives to make our workflows better and more efficient, helping the team adopt best practices
• Support our ML team by helping improve how our algorithms work and making sure they meet quality standards

- English language proficiency (written and spoken)
- 2+ years experience in Machine Learning and/or Data Labeling annotation activities.
- Working experience with digital visual content and/or machine learning activities, such as using image/video annotation tools, creating annotation guidelines for visual datasets, etc.
- Proficient in Microsoft Excel with intermediate-level skills, including experience with data analysis, formulae, and data visualization.
- Familiarity with database management systems.

• Bachelor's degree in process or completed in Computer Science, IT, Business Administration, Industrial Engineering, Visual/Graphic Design or Audiovisual Production or related field.
• Working experience in Linux systems administration skills.
• Experience with Kaizen or other process improvement methodologies.
• Experience troubleshooting complex systems.
• Working exposure to 3D modeling, and/or gaming development.
• Strong problem-solving and analytical thinking abilities.
• Excellent communication and documentation skills.

Key job responsibilities
• Conduct pre-launch checks of high-value content, utilizing automation tools to ensure accuracy and efficiency
• Perform Root Cause Analyses (RCAs) to identify and address operational issues, preventing their recurrence
• Dynamically update and refine Standard Operating Procedures (SOPs) in response to new insights and technologies, maintaining operational agility
• Collaborate with cross-functional teams to enhance operational workflows and customer experienceA day in the life

• Bachelor's degree or 3-5 years of equivalent experience in a technical field
• Background in operations management or related field
• Fluency in English to effectively communicate with global stakeholders

• Knowledge of Lean principles and DMAIC methodology
• Experience with digital content delivery systems and workflows
• Experience in MS Access and SQL
• Familiarity with automation tools and methodologies
• A passion for technology and innovation, with a continuous learning mindset
• Problem-solving and process improvement skills

Key job responsibilities
• Conduct pre-launch checks of high-value content, utilizing automation tools to ensure accuracy and efficiency
• Perform Root Cause Analyses (RCAs) to identify and address operational issues, preventing their recurrence
• Dynamically update and refine Standard Operating Procedures (SOPs) in response to new insights and technologies, maintaining operational agility
• Collaborate with cross-functional teams to enhance operational workflows and customer experienceA day in the life

• Bachelor's degree or 3-5 years of equivalent experience in a technical field
• Background in operations management or related field
• Fluency in English to effectively communicate with global stakeholders

• Knowledge of Lean principles and DMAIC methodology
• Experience with digital content delivery systems and workflows
• Experience in MS Access and SQL
• Familiarity with automation tools and methodologies
• A passion for technology and innovation, with a continuous learning mindset
• Problem-solving and process improvement skills