Business Research Analyst - Ii Rbs Brand Experience jobs at Amazon in India, Chennai

- 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
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) 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

Part of the team, you will invent, design and develop end-to-end products to make book creation experience simpler and high quality.
Key job responsibilities
• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to customers.
• Design and implement system architecture and underlying components. Establish design principles, select design patterns, and instill best practices for software development across multiple teams
• Anticipate bottlenecks, make trade-offs, and balance the business needs versus technical constraints.
• Work in an agile, startup-like environment to deliver high-quality software.

- 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
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) 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

Overview of the role:
An candidate will be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. You will be detail-oriented and organized, capable of handling multiple projects at once, and capable of dealing with ambiguity and rapidly changing priorities. You will have expertise in process optimizations and systems thinking and will be required to engage directly with multiple internal teams to drive business projects/automation for the RBS team. Candidates must be successful both as individual contributors and in a team environment, and must be customer-centric. Our environment is fast-paced and requires someone who is flexible, detail-oriented, and comfortable working in a deadline-driven work environment. Responsibilities Include Works across team(s) and Ops organization at country, regional and/or cross regional level to drive improvements and enables to implement solutions for customer, cost savings in process workflow, systems configuration and performance metrics.Basic Qualifications
• Bachelor's degree in Computer Science, Information Technology, or a related field
• Proficiency in automation using Python
• Excellent oral and written communication skills
• Experience with SQL, ETL processes, or data transformationPreferred Qualifications
• Experience with scripting and automation tools
• Familiarity with Infrastructure as Code (IaC) tools such as AWS CDK
• Knowledge of AWS services such as SQS, SNS, CloudWatch and DynamoDB
• Understanding of DevOps practices, including CI/CD pipelines and monitoring solutions
• Understanding of cloud services, serverless architecture, and systems integrationKey job responsibilities
Responsibilities:• Design, development and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports and dashboards.
• Development of moderately to highly complex data processing jobs using appropriate technologies (e.g. SQL, Python, Spark, AWS Lambda, etc.)
• Development of dashboards and reports.
• Collaborating with stakeholders to understand business domains, requirements, and expectations. Additionally, working with owners of data source systems to understand capabilities and limitations.
• Deliver minimally to moderately complex data analysis; collaborating as needed with Data Science as complexity increases.
• Actively manage the timeline and deliverables of projects, anticipate risks and resolve issues.
• Adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Internal job descriptionBasic qualifications:• 5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field.
• Experience with Data modeling, SQL, ETL, Data Warehousing and Data Lakes.
• Strong experience with engineering and operations best practices (version control, data quality/testing, monitoring, etc.)
• Expert-level SQL.
• Proficiency with one or more general purpose programming languages (e.g. Python, Java, Scala, etc.)
• Knowledge of AWS products such as Redshift, Quicksight, and Lambda.
• Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.Preferred qualifications:• Experience with data-specific programming languages/packages such as R or Python Pandas.
• Experience with AWS solutions such as EC2, DynamoDB, S3, and EMR.
• Knowledge of machine learning techniques and concepts.

- 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

As a Business Intelligence Engineer, you'll be at the intersection of data and business strategy, translating complex requirements into actionable analytics solutions. You'll partner with stakeholders to unlock insights that elevate our global work authorization experiences and drive program scalability.Key job responsibilities
A successful candidate will demonstrate:Advanced SQL skills for writing complex queries and stored procedures to extract, transform, and analyze large datasets
Proficiency in Python, particularly with libraries like pandas and PySpark, for data manipulation and ETL processes
Strong analytical and problem-solving capabilities, with the ability to translate business requirements into efficient data solutions
Experience in designing and implementing scalable ETL pipelines that can handle large volumes of data
Expertise in data modeling and database optimization techniques to improve query performance
Ability to work with various data sources and formats, integrating them into cohesive data structures
Skill in developing and maintaining data warehouses and data lakes
Proficiency in using BI tools to create insightful visualizations and dashboardsExcellence in communicating technical concepts and data insights to both technical and non-technical audiences
A day in the life
You'll work closely with Product Managers, Software Developers, and business stakeholders to:
Perform deep-dive analyses to uncover actionable insights
Develop and automate data processes to improve efficiency
Present findings and recommendations to leadership

- 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 scripting language (e.g., Python, Java, or R)
- Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports

- Bachelor's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
- Experience in designing and implementing custom reporting systems using automation tools

Overview of the role:
An candidate will be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. You will be detail-oriented and organized, capable of handling multiple projects at once, and capable of dealing with ambiguity and rapidly changing priorities. You will have expertise in process optimizations and systems thinking and will be required to engage directly with multiple internal teams to drive business projects/automation for the RBS team. Candidates must be successful both as individual contributors and in a team environment, and must be customer-centric. Our environment is fast-paced and requires someone who is flexible, detail-oriented, and comfortable working in a deadline-driven work environment. Responsibilities Include Works across team(s) and Ops organization at country, regional and/or cross regional level to drive improvements and enables to implement solutions for customer, cost savings in process workflow, systems configuration and performance metrics.Basic Qualifications
• Bachelor's degree in Computer Science, Information Technology, or a related field
• Proficiency in automation using Python
• Excellent oral and written communication skills
• Experience with SQL, ETL processes, or data transformationPreferred Qualifications
• Experience with scripting and automation tools
• Familiarity with Infrastructure as Code (IaC) tools such as AWS CDK
• Knowledge of AWS services such as SQS, SNS, CloudWatch and DynamoDB
• Understanding of DevOps practices, including CI/CD pipelines and monitoring solutions
• Understanding of cloud services, serverless architecture, and systems integrationKey job responsibilities
Responsibilities:• Design, development and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports and dashboards.
• Development of moderately to highly complex data processing jobs using appropriate technologies (e.g. SQL, Python, Spark, AWS Lambda, etc.)
• Development of dashboards and reports.
• Collaborating with stakeholders to understand business domains, requirements, and expectations. Additionally, working with owners of data source systems to understand capabilities and limitations.
• Deliver minimally to moderately complex data analysis; collaborating as needed with Data Science as complexity increases.
• Actively manage the timeline and deliverables of projects, anticipate risks and resolve issues.
• Adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Internal job descriptionBasic qualifications:• 5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field.
• Experience with Data modeling, SQL, ETL, Data Warehousing and Data Lakes.
• Strong experience with engineering and operations best practices (version control, data quality/testing, monitoring, etc.)
• Expert-level SQL.
• Proficiency with one or more general purpose programming languages (e.g. Python, Java, Scala, etc.)
• Knowledge of AWS products such as Redshift, Quicksight, and Lambda.
• Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.Preferred qualifications:• Experience with data-specific programming languages/packages such as R or Python Pandas.
• Experience with AWS solutions such as EC2, DynamoDB, S3, and EMR.
• Knowledge of machine learning techniques and concepts.

- 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

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. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Tasks:
· Operate and maintain all mechanical, electrical and HVAC equipment within the Data Center/Facility.
· Supervise contractors who perform servicing or preventive maintenance
· Develop work plan for emergency repair of critical assets.
· Operates under minimal supervision.
· Work on-call and a rotating schedule as needed.
· Perform basic support concepts such as ticketing systems, root cause analysis, and task prioritization
· Perform shift duty as required.
· Fully comply with all physical security procedures and policies.
· Ensure all safety procedures are adhered to while performing work.
· Perform rack power installs, rack PDU, and rack ATS replacements.
· Verification on electrical/cooling capacity before new rack install.
· Create and Close Work Orders with appropriate data, to include labor hours, equipment maintenance, and parts used into asset management system.
· Maintain changes in state in Mission Critical infrastructure in support of corrective/ preventive maintenance.
· Testing: Test quality, performance, safety, and reliability of products, equipment, processes
· To be a front-line responder for hands-on electrical and mechanical equipment troubleshooting. This equipment includes, but is not limited to, AHU’s, chillers, cooling towers, chemical treatment systems, pumps, motors, VFD’s, and building automation systems.
- An ability to solve problems through root-cause elimination, stepping back to understand the broader context.
- Ensure all safety procedures are adhered to while performing work.
- An aptitude for trouble-shooting and problem-solving complex issue
- An ability to follow procedures system documentation and track issues through appropriate entries into a Trouble Ticket system.
- Demonstrate good judgment and instincts in decision making.
- Prioritize appropriately in a complex, fast-paced environment.
- Willingness to take ownership for technical issues.
- Utilize EPMS and BMS to manage building workflows.Physical Requirements:
· Work on a 24x7 schedule (where applicable)
· Work at heights and from ladders.
· Perform physical tasks during the shift and coordinate body movements when using tools or equipment
· Work in a noisy environment with ear protectionKey job responsibilities
· Setting and maintaining the highest standards for safety and actively promoting a world-class safety culture in all aspects of operational procedure.
· Driving continuous improvement efforts on infrastructure through standardization of procedures and policies, while delivering performance against agreed metrics.· Collaborating effectively with internal & external stakeholders to deliver operational excellence for all AWS customers.
· Responsible for ensuring that the preventive maintenance of site-critical facility infrastructure is planned and executed to the highest standards, in accordance to AWS procedures.
· In charge of facility monitoring & supervision (via BMS, PMS, Walkthrough...etc.)
· Participation in the successful delivery of build-out and retrofit of Data Center infrastructure.
· Ensuring organizational capability to react & respond appropriately to any potential customer-impacting event on any component of electrical or mechanical infrastructure.
· Reviewing incident reports, documenting periodic trend summaries, and providing updates and recommended actions to management.
· Draft, update & maintain method statements, standard operating procedures, emergency response procedures, preventive maintenance programs, and all technical documentation pertaining to DCEO.
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

-Bachelor Degree in Electrical Engineering, Mechanical Engineering, HVAC, Industrial technology, or Electrotechnical Engineering
-7+ years of experience in the field of electrical/mechanical and refrigeration system preventive and corrective maintenance (data center, production site, energy facilities, etc..)
-Experience of critical infrastructure systems (UPS, generators, switchgear, HVAC, chilled water/cooling systems, pump)
-Familiarity with 24/7/365 mission critical environment.
-Good level of English (written and oral)

· Familiar with BMS and EPMS control systems and data collection/trending
· Apprentice/trades certified or diploma in an Electrical field
· Data Center/ Manufacturing experience
· Bachelors/Masters degree in Electrical Engineering, Mechanical Engineering or relevant discipline.Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.

Key job responsibilities
• The role requires to manage a Business Intelligence team with limited guidance. You hire the right job families (e.g. business intelligence engineers, business analysts, data engineers) to accomplish team goals. You are able to assess and manage performance. You take effective action addressing employee concerns. You are able to hire, develop, and promote team members.
• The role requires to set team priorities, partnering effectively with customers and stakeholders. You establish a roadmap and successfully deliver BI solutions that meet the business needs.
• The role requires to influence both business and technical teams that overlap in organizational business/technology areas.
• The role requires to proactively identify risks or cross-organizational dependencies, and bring them to the attention of your manager, customers, or stakeholders with plans for mitigation before they become roadblocks. You know when to escalate.
• The role requires to build mechanisms and standards for ensuring engineering excellence (e.g. correctness and efficiency) and operational excellence (e.g. quality, consistency, and reliability).
• The role requires to define metrics to measure your team’s progress, data/solution quality, and engineering/operational excellence.
• The role requires to deliver BI solutions for complex problems, often at the architectural level and often in conjunction with other engineering teams.
• The role requires to think strategically and make trade-offs. Your decisions impact the organization’s BI infrastructure, including resources and cost.
• The role requires to communicate ideas effectively, both verbally and in writing, to all types of audiences. You are able to contribute narratives to strategic documents.

- 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software

- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience