Advanced Process Control Engineer Salary in Hyderabad - PayScale

BASIC QUALIFICATIONS- Bachelor's degree OR equivalent experience in a technical position.- Requires minimum of 2+ yrs experience in relevant technical position.- Knowledge of some Developer & Mobile language/Services- Python, Ruby, PHP, Java, .NET, JavaScript, iOS/Objective-C/Swift, Rest API, inter-application messaging & queueing, develop mobile apps, version control systems, virtualization. Experience with web-based applications and HTTP.- Knowledge of client/server and distributed systems architectures (WebServers).- Troubleshooting skills on Linux, Networking; IPsec, VPN, Load Balancing, Iperf, DNS, DHCP, Routing Protocols, SSH, Network Monitoring.- Excellent verbal and written communication skills.- Customer service experience / strong customer focus.- Strong analysis and troubleshooting skills and experience.DESCRIPTIONAmazon Web Services is the global market leader and technology forerunner in the Cloud business. As a member of the AWS Support team in Amazon Web Services, you will be at the forefront of this transformational technology, assisting a global list of companies and developers that are taking advantage of a growing set of services and features to run their mission-critical applications. As a Cloud Support Engineer, you will act as the 'Cloud Ambassador' across all the cloud products, arming our customers with required tools & tactics to get the most out of their Product and Support investment.Would you like to use the latest cloud computing technologies? Do you have an interest in helping customers understand application architectures and integration approaches? Are you familiar with best practices for applications, servers and networks? Do you want to be part of a customer facing technology team in India helping to ensure the success of Amazon Web Services (AWS) as a leading technology organization?If you fit the description, you might be the person we are looking for! We are a group of smart people, passionate about cloud computing, and believe that world class support is critical to customer success.WHAT CAN YOU EXPECT FROM A LIFE AT Amazon?Every day will bring new and exciting challenges on the job while you:• Learn and use groundbreaking technologies.• Apply advanced troubleshooting techniques to provide unique solutions to our customers' individual needs.• Interact with leading engineers around the world.• Partner with Amazon teams in India to help reproduce and resolve customer issues.• Leverage your extensive customer support experience to provide feedback to internal Amazon teams in India on how to improve our services.• Drive customer communication during critical events.• Drive projects that improve support-related processes and our customers' technical support experience.• Write tutorials, how-to videos, and other technical articles for the developer community.• Work on critical, highly complex customer problems that may span multiple AWS services.Key job responsibilitiesOn a typical day, a Support Engineer will be primarily responsible for solving customer's cases through a variety of customer contact channels which include telephone, email, and web/live chat. You will apply advanced troubleshooting techniques to provide tailored solutions for our customers and drive customer interactions by thoughtfully working with customers to dive deep into the root cause of an issue. https://www.youtube.com/watch?v=GC3bWcFFZTo&t=24sA day in the lifeWhy AWS Support Engineering?• First and foremost this is a customer support role - in The Cloud.• On a typical day, a Support Engineer will be primarily responsible for solving customer's cases through a variety of customer contact channels which include telephone, email, and web/live chat. You will apply advanced troubleshooting techniques to provide tailored solutions for our customers and drive customer interactions by thoughtfully working with customers to dive deep into the root cause of an issue.• Apart from working on a broad spectrum of technical issues, an AWS Support Engineer may also coach/mentor new hires, develop & present training, partner with development teams on complex issues or contact deflection initiatives, participate in new hiring, write tools/script to help the team, or work with leadership on process improvement and strategic initiatives.• Career development: We promote advancement opportunities across the organization to help you meet your career goals.• Training: We have training programs to help you develop the skills required to be successful in your role. We hire smart people who are keen to build a career with AWS.• As we operate on a follow-the-sun model, with Premium Support sites located globally, there is no after hours on-call or mandated overtime in this role.We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDPREFERRED QUALIFICATIONS- Exposure to Serverless technologies such as Lambda and API Gateway.- Experience developing against and working with REST API based services.- Prior working experience with AWS services.- Experience with Cloud architecture patterns and distributed computing concepts.- Exposure to Mobile application development (iOS / Android).- Exposure to mobile and web application security best practices.- Detailed knowledge of networking protocols: DNS, HTTP, SSL, SMTP, TCP.- Exposure to security concepts / methodologies.- Experience with iperf, MTR, traceroute, dig.- Experience handling full application stacks from the OS up through custom applications.Salary: . Date posted: 03/27/2024 08:57 AM

DESCRIPTIONAmazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.Key job responsibilities1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap.2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution.3) Define analytical approach; review and vet analytical approach with stakeholders.4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis7) Work with a variety of data sources and Pull data using efficient query development thatrequires less post processing (e.g., Window functions, virt usage)8) When needed, pull data from multiple similar sources to triangulate on data fidelity9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team10) Provide program communications to stakeholders11) Communicate roadblocks to stakeholders and propose solutions12) Represent team on medium-size analytical projects in own organization and effectively communicate across teamsA day in the life1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes2) Have the capability to handle large data sets in analysis through the use of additional tools3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved6) Communicate complex analytical insights and business implications effectivelyAbout the teamAOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace.AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession.We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities.We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams.We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 2+ years of tax, finance or a related analytical field experience- 2+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL or ETLPREFERRED QUALIFICATIONS- Experience working with Tableau- Experience using very large datasets

BASIC QUALIFICATIONS- 8+ years of tax, finance or a related analytical field experience- 5+ years of advanced proficiency in Excel (pivots, lookups, etc.) experience- 2+ years of Accounts Receivable or Account Payable experience- 6+ years of applying key financial performance indicators (KPIs) to analyses experience- 6+ years of building financial and operational reports/data sets that inform business decision-making experience- 6+ years of creating process improvements with automation and analysis experience- 5+ years of direct management experienceDESCRIPTIONAmazon is seeking an experienced Finance Manager to support financial reporting and analytics in Amazon Transportation Services, a leader in the global supply chain revolution through pioneering robotics, revolutionary automation initiatives, seeking sustainable solutions such as electric vehicles, and introducing one-day delivery for millions of products, in order to deliver billions of packages to delight customers Career Opportunities:Controllership seeks an Accounting and good in Finance to own Financial Reporting and Analytics and ensure financial statements are correct in transportation space for inbound, middle mile and outbound. Experience in this team opens up several career opportunities across Amazon. You will learn to produce insightful financial reporting, build robust and repeatable financial processes, controls, and perform in-depth analysis on transportation spend numbers. Given the nature of our business, you will learn to venture into unknown territory, and learn how to succeed in a new space. Team Exposure:This role partners across transportation, fulfilment, supply chain, and technology teams to improve efficiencies while improving customer experience globally. This role works with business intelligence engineers, accountants, accounting managers, data engineers, program and product managers. This role creates a "learn by doing" environment by engaging with business and technology to promote and encourage continued customer focus. You will anticipate and resolve bottlenecks while balancing business needs and escalating where appropriate. Success in this role:The successful candidate has demonstrated the following : Good in developing insights using financial trend analytics, activity based costing, econometrics, and/or statistics. The candidate should have excellent verbal and written communication as the role requires heavy partnership with global teams. This role will work in a dynamic environment working with some of the world's largest data sets in logistics costing and financial reporting. As such, the finance manager must combine excellent business analysis skills and should be able to derive actionable cost measures for consumption across Amazon.Key job responsibilities - Use solid financial knowledge and business acumen to build financial models, interpret data, draw conclusions, and make recommendations that deliver results, drive improvements, and influence leaders throughout Amazon. These decisions can have global impact. - Delivers weekly/monthly financial close. Uses financial systems and advanced MSExcel functions to work with large data sets. Outputs plans, forecasts, budgets, and consolidations. - Driving continuous improvement and standardization of processes, including implementation of good practices in the controllership area - Supporting financial reporting and operating planning, demonstrating finance acumen and should be able to quickly adopt to different business needs - Preparing concise documents, tailored to various levels of stakeholders, and collaborating with operations' leaders and other teams - Uses active listening skills intuitively to communicate data (both written and verbal) in a clear, concise, and unambiguous manner. Adjusts style for various audiences to articulate complex finance issues clearly. - Collects and analyzes quantitative data to develop relevant reports that drive cost reductions. - Participates in hiring, developing, and mentoring peers and team members. Seeks and leverages diverse perspectives in all activities. - Identifies opportunities to resolve defects proactively. Improves, scales, or simplifies finance tools across teams and organizations.A day in the lifeThe Finance Manager blends advanced reporting, critical thinking and project management skills while understanding and further developing financial applications. A typical day in this role provides an opportunity to resolve ambiguous problems, own month end close deliverables, work with tech partners to resolve technical issues and ensure successful accounting automation launch for month end close processes.About the team Transportation Controllership is a global finance team responsible for Financial Reporting activities, establishing Financial Control Frameworks and Advance Analytics in the transportation space, including import, domestic inbound, warehouse transfer, and outbound shipments. We partner closely with transportation business units and tech teams as they work to continually refine and scale the business to keep pace with Amazon's rapid growth. Along with our partners in Accounting, we are responsible for the contractual and managerial closing the books on Transportation spend.We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDPREFERRED QUALIFICATIONS- 6+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience- 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience- 6+ years of mentoring junior finance and/or business team members experience- 3+ years of working with senior staff (e.g. c-suite) experience- MBA, or CPA- Experience working with large-scale data mining and reporting tools (i.e. SQL, MSAccess, Essbase or Cognos) and providing recommendations based on results of ad hoc analyses to management for strategic decision-makingSalary: . Date posted: 03/29/2024 09:27 AM

BASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices- - Design & Implementation of automated data contract and data quality enforcement mechanisms- - Expertise at least in 1 data Orchestration tool- - Working experience in CDKDESCRIPTIONThe Amazon transportation controllership team is looking for a Senior Data Engineer who is data-driven and detail oriented, to partner in expanding our financial data systems to support our global transportation network. You should have excellent business and communication skills to be able to work with business owners and tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. This person must be strategic and have strong analytical skills, robust interpersonal and influencing skills, strong organizational and project management skills, and is a self-starter. They will need to roll up their sleeves, work both independently and collaboratively across teams, and have a high level of ownership and accountabilityKey job responsibilities- Architect and develop end to end scalable data infrastructure and data pipelines- Develop data products, deploy highly performant solutions, build data infrastructure leveraging AWS services (such as EC2, Redshift, EMR, Lambda, Quicksight etc.)- Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.- Develop new data models and end to data pipelines.- Lead design reviews for other Data Engineers on the team and actively participate in design reviews of related tech products.- Provide technical and thought leadership for Data Engineering and Business Intelligence- Create and implement Data Governance strategy for mitigating privacy and security risks- Design, implement, and support a platform providing secured access to large datasets.- Interface with multiple finance and accounting customers, gathering requirements and delivering complete data solutions.- Develop ETL pipeline that links various datasets that could serve the analysis objectives in the most efficient way- Analyze and solve problems at their root, stepping back to understand the broader context.- Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWSA day in the lifeWork with the largest dataset in logistics management anywhere in the world to drive business insights, support operations and build analytical solutions for partners which can help drive cost control and decision making. As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models, Gen Ai and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies.About the teamTrans Controllership in Finance is one of the most challenging and exciting spaces to work for, with new geographies, new modes and new carriers being launched every day and being required to seamlessly integrate with the Transportation technical systems for automatic Ingestion of Freight invoices, thorough auditing, timely payment and for proper accounting to keep our books clean and accurate. We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDPREFERRED QUALIFICATIONS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience operating large data warehouses- Master's degree- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets- Knowledge of distributed systems as it pertains to data storage and computing- - Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations- - Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy- - Experience providing technical leadership and mentoring other engineers for best practices on data engineering- - Strong understanding and experience with DBMS internals.- - Strong understanding of system performance and scaling- - Knowledge on LLM and Gen Ai.Salary: . Date posted: 03/29/2024 09:27 AM

DESCRIPTIONAt Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptional people. Amazon is seeking a Senior Business Intelligence Engineer to join the Global Procurement Excellence (GPE), Business Intelligence (BI) team.GPE is part of the Global Procurement Organization (GPO). It is the single channel for Amazon globally that creates, delivers and maintains core procurement capabilities while executing best-in-class S2P policies, processes and digital solutions. The pillar drives efficiency, control & compliance and delivers a user and supplier centric procurement experience consistently across teams, businesses and regions. BI enables metric-driven capabilities for the Procurement leaders through secure, performant, scalable & sustainable reporting & analysis products. We make the data speak. Providing Amazon-standard customer experience is in our core. We build trust with leaders and provide analysis they need and we do that on a timely and top-quality manner.Having actionable analytics is part of our culture and we insist on timely, accurate, scalable and actionable business intelligence. A Senior Business Intelligence Engineer should be able to cope with a fast pace environment, work on multiple deliverables and in parallel, be comfortable with prioritizing efficiently and communicating progress and blockers in an effective manner.Key job responsibilities• Manage a portfolio of BI solutions related to supplier risk and performance management, work with multiple stakeholders and communicate effectively progress and blockers with the project team and sponsors. Identify high impact business problems and present written recommendations on solutions that will drive the future of EU Ops Procurement• Design and own processes that are customer centric and will improve the operational efficiency. • Develop ETL jobs and analytical layers that require in depth knowledge in scripting and OLAP concepts (Data Marts, Data Cubes, Python-Based Data Analysis Layer etc.).• Implement metadata management and follow core data governance practices• Develop visualizations that are fast and easy to comprehend.• Adopt existing best practices or contribute to improving them; solution design, development, validation and documentation practices.A day in the lifeA Senior Business Intelligence Engineer manages requirements from a large group of customers, understands how they operate and is able to build solutions that return the right strategic value back to the organization. Improves the way that customers interact with data and analytics. Works cross functionally, interacting with other tech and non-tech teams globally to align on requirements and solutions. Develops and maintains strong networks and partnerships across organizations, builds trusted relationships. Keeps customers and stakeholders up to date. Innovates in data engineering, analysis, statistics and visualization.About the teamGPE BI enables metric-driven capabilities for the Procurement leaders through secure, performant, scalable & sustainable reporting & analysis products. We make the data speak. Providing Amazon-standard customer experience is in our core. We build trust with leaders and provide analysis they need and we do that on a timely and top-quality manner. We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- Experience working directly with business stakeholders to translate between data and business needs- Knowledge of data warehousing and data modeling- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with AWS technologies- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience building measures and metrics, and developing reporting solutionsPREFERRED QUALIFICATIONS- Experience managing, analyzing and communicating results to senior leadership- Experience with theory and practice of information retrieval, data science, machine learning and data mining- PhD in statistics, data science, or an equivalent quantitative field

DESCRIPTIONThe Amazon transportation controllership team is looking for a Senior Data Engineer who is data-driven and detail oriented, to partner in expanding our financial data systems to support our global transportation network. You should have excellent business and communication skills to be able to work with business owners and tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. This person must be strategic and have strong analytical skills, robust interpersonal and influencing skills, strong organizational and project management skills, and is a self-starter. They will need to roll up their sleeves, work both independently and collaboratively across teams, and have a high level of ownership and accountabilityKey job responsibilities- Architect and develop end to end scalable data infrastructure and data pipelines- Develop data products, deploy highly performant solutions, build data infrastructure leveraging AWS services (such as EC2, Redshift, EMR, Lambda, Quicksight etc.)- Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.- Develop new data models and end to data pipelines.- Lead design reviews for other Data Engineers on the team and actively participate in design reviews of related tech products.- Provide technical and thought leadership for Data Engineering and Business Intelligence- Create and implement Data Governance strategy for mitigating privacy and security risks- Design, implement, and support a platform providing secured access to large datasets.- Interface with multiple finance and accounting customers, gathering requirements and delivering complete data solutions.- Develop ETL pipeline that links various datasets that could serve the analysis objectives in the most efficient way- Analyze and solve problems at their root, stepping back to understand the broader context.- Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWSA day in the lifeWork with the largest dataset in logistics management anywhere in the world to drive business insights, support operations and build analytical solutions for partners which can help drive cost control and decision making. As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models, Gen Ai and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies.About the teamTrans Controllership in Finance is one of the most challenging and exciting spaces to work for, with new geographies, new modes and new carriers being launched every day and being required to seamlessly integrate with the Transportation technical systems for automatic Ingestion of Freight invoices, thorough auditing, timely payment and for proper accounting to keep our books clean and accurate. We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices- - Design & Implementation of automated data contract and data quality enforcement mechanisms- - Expertise at least in 1 data Orchestration tool- - Working experience in CDKPREFERRED QUALIFICATIONS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience operating large data warehouses- Master's degree- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets- Knowledge of distributed systems as it pertains to data storage and computing- - Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations- - Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy- - Experience providing technical leadership and mentoring other engineers for best practices on data engineering- - Strong understanding and experience with DBMS internals.- - Strong understanding of system performance and scaling- - Knowledge on LLM and Gen Ai.

DESCRIPTIONAmazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.Key job responsibilities1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap.2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution.3) Define analytical approach; review and vet analytical approach with stakeholders.4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis7) Work with a variety of data sources and Pull data using efficient query development thatrequires less post processing (e.g., Window functions, virt usage)8) When needed, pull data from multiple similar sources to triangulate on data fidelity9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team10) Provide program communications to stakeholders11) Communicate roadblocks to stakeholders and propose solutions12) Represent team on medium-size analytical projects in own organization and effectively communicate across teamsA day in the life1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes2) Have the capability to handle large data sets in analysis through the use of additional tools3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved6) Communicate complex analytical insights and business implications effectivelyAbout the teamAOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace.AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession.We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities.We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams.We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R)PREFERRED QUALIFICATIONS- Master's degree, or Advanced technical degree- Knowledge of data modeling and data pipeline design- Experience with statistical analysis, co-relation analysisSalary: . Date posted: 04/06/2024 09:30 AM

DESCRIPTIONAmazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.Key job responsibilities1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap.2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution.3) Define analytical approach; review and vet analytical approach with stakeholders.4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis7) Work with a variety of data sources and Pull data using efficient query development thatrequires less post processing (e.g., Window functions, virt usage)8) When needed, pull data from multiple similar sources to triangulate on data fidelity9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team10) Provide program communications to stakeholders11) Communicate roadblocks to stakeholders and propose solutions12) Represent team on medium-size analytical projects in own organization and effectively communicate across teamsA day in the life1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes2) Have the capability to handle large data sets in analysis through the use of additional tools3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved6) Communicate complex analytical insights and business implications effectivelyAbout the teamAOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace.AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession.We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities.We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams.We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)- Experience with scripting language (e.g., Python, Java, or R)- 2+ years of ecommerce, transportation, finance or related analytical field experiencePREFERRED QUALIFICATIONS- Master's degree, or Advanced technical degree- Knowledge of data modeling and data pipeline design- Experience with statistical analysis, co-relation analysis

DESCRIPTIONAmazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.Key job responsibilities1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap.2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution.3) Define analytical approach; review and vet analytical approach with stakeholders.4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis7) Work with a variety of data sources and Pull data using efficient query development thatrequires less post processing (e.g., Window functions, virt usage)8) When needed, pull data from multiple similar sources to triangulate on data fidelity9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team10) Provide program communications to stakeholders11) Communicate roadblocks to stakeholders and propose solutions12) Represent team on medium-size analytical projects in own organization and effectively communicate across teamsA day in the life1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes2) Have the capability to handle large data sets in analysis through the use of additional tools3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved6) Communicate complex analytical insights and business implications effectivelyAbout the teamAOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace.AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession.We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities.We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams.We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 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 with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- 4+ years of ecommerce, transportation, finance or related analytical field experiencePREFERRED QUALIFICATIONS- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

DESCRIPTIONAmazon is seeking an experienced Sr. Financial Analyst to support financial reporting and analytics in Amazon Transportation Services, a leader in the global supply chain revolution through pioneering robotics, revolutionary automation initiatives, seeking sustainable solutions such as electric vehicles, and introducing one-day delivery for millions of products, in order to deliver billions of packages to delight customers Career Opportunities:Controllership seeks an Accounting and good in Finance to own Financial Reporting and Analytics and ensure financial statements are correct in transportation space for inbound, middle mile and outbound. Experience in this team opens up several career opportunities across Amazon. You will learn to produce insightful financial reporting, build robust and repeatable financial processes, controls, and perform in-depth analysis on transportation spend numbers. Given the nature of our business, you will learn to venture into unknown territory, and learn how to succeed in a new space. Team Exposure:This role partners across transportation, fulfilment, supply chain, and technology teams to improve efficiencies while improving customer experience globally. This role works with business intelligence engineers, accountants, accounting managers, data engineers, program and product managers. This role creates a "learn by doing" environment by engaging with business and technology to promote and encourage continued customer focus. You will anticipate and resolve bottlenecks while balancing business needs and escalating where appropriate. Success in this role:The successful candidate has demonstrated the following : Good in developing insights using financial trend analytics, activity based costing, econometrics, and/or statistics. The candidate should have excellent verbal and written communication as the role requires heavy partnership with global teams. This role will work in a dynamic environment working with some of the world's largest data sets in logistics costing and financial reporting. As such, the Sr. Financial Analyst must combine excellent business analysis skills and should be able to derive actionable cost measures for consumption across Amazon.Key job responsibilities - Use solid financial knowledge and business acumen to build financial models, interpret data, draw conclusions, and make recommendations that deliver results, drive improvements, and influence leaders throughout Amazon. These decisions can have global impact. - Delivers weekly/monthly financial close. Uses financial systems and advanced MSExcel functions to work with large data sets. Outputs plans, forecasts, budgets, and consolidations. - Driving continuous improvement and standardization of processes, including implementation of good practices in the controllership area - Supporting financial reporting and operating planning, demonstrating finance acumen and should be able to quickly adopt to different business needs - Preparing concise commentary, tailored to various levels of stakeholders, and collaborating with operations' leaders and other teams - Uses active listening skills intuitively to communicate data (both written and verbal) in a clear, concise, and unambiguous manner. Adjusts style for various audiences to articulate complex finance issues clearly. - Collects and analyzes quantitative data to develop relevant reports that drive cost reductions. - Participates in hiring and mentoring peers. Seeks and leverages diverse perspectives in all activities. - Identifies opportunities to resolve defects proactively. Improves, scales, or simplifies finance tools across teams and organizations.A day in the lifeThe Sr. Financial Analyst blends reporting, critical thinking and ownership skills. while understanding and further developing financial applications. A typical day in this role provides an opportunity to resolve ambiguous problems, own month end close deliverables, work with tech partners to resolve technical issues and ensure successful accounting automation launch for month end close processes.About the team Transportation Controllership is a global finance team responsible for Financial Reporting activities, establishing Financial Control Frameworks and Advance Analytics in the transportation space, including import, domestic inbound, warehouse transfer, and outbound shipments. We partner closely with transportation business units and tech teams as they work to continually refine and scale the business to keep pace with Amazon's rapid growth. Along with our partners in Accounting, we are responsible for the contractual and managerial closing the books on Transportation spend.We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 4+ years of tax, finance or a related analytical field experience- 2+ years of creating process improvements with automation and analysis experience- Bachelor's degree in finance, accounting or related field- 2+ years of building financial and operational reports/data sets that inform business decision-making experiencePREFERRED QUALIFICATIONS- 2+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience- 2+ years of transactional accounting field experience- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)- CA or CPASalary: . Date posted: 04/10/2024 10:10 PM