Business Intelligence Engineer, Global RME Central
Amazon
Date: 1 week ago
City: Hyderabad, Telangana
Contract type: Full time

Description
The Maintenance Automation Platform (MAP) team within the Global Reliability and Maintenance Engineering (RME) Central Team is looking for an exceptional business intelligence engineer to join us. In this role, you will work on an analytical team to bust myths, create insights, and produce recommendations to help Central RME to deliver world class service to the Amazon network. As part of the team will be involved in all phases of research, experiment, design and analysis, including defining research questions, designing experiments, identifying data requirements, and communicating insights and recommendations. You'll also be expected to continuously learn new systems, tools, and industry best practices to analyze big data and enhance our analytics. These are exciting fast-paced businesses in which we get to work on extremely interesting analytical problems, in an environment where you get to learn from other engineers and apply business intelligence to help leadership make informed decisions.
Your work focuses on complex and/or ambiguous problem areas in existing or new BI initiatives. You take the long term view of your team's solutions and how they fit into the team’s architecture. You consider where each solution is in its lifecycle and where appropriate, proactively fix architecture deficiencies
You understand capabilities and limitations of the systems you work with (e.g. cluster size, concurrent users, data classification). You are able to explain these limitations to technical and non-technical audiences, helping them understand what’s currently possible and which efforts need a technology investment
You take ownership of team infrastructure, providing a system-wide view and design guidance. You make things simpler. You drive BI engineering best practices (e.g. Operational Excellence, code reviews, syntax and naming convention, metric definitions, alarms) and set standards.
You collaborate with customers and other internal partners to refine the problem into specific deliverables, and you understand the business context well enough to recommend alternatives and anticipate future requests. In addition to stakeholders, you may work with partner teams (business and technical) and Data Engineers/Data Scientists/BA/SDES/other BIEs to design and deliver the right solution.
You contribute to the professional development of colleagues, improving their business and technical knowledge and their understanding of BI engineering best practices.
Key job responsibilities
Company - ADCI HYD 13 SEZ
Job ID: A3031639
The Maintenance Automation Platform (MAP) team within the Global Reliability and Maintenance Engineering (RME) Central Team is looking for an exceptional business intelligence engineer to join us. In this role, you will work on an analytical team to bust myths, create insights, and produce recommendations to help Central RME to deliver world class service to the Amazon network. As part of the team will be involved in all phases of research, experiment, design and analysis, including defining research questions, designing experiments, identifying data requirements, and communicating insights and recommendations. You'll also be expected to continuously learn new systems, tools, and industry best practices to analyze big data and enhance our analytics. These are exciting fast-paced businesses in which we get to work on extremely interesting analytical problems, in an environment where you get to learn from other engineers and apply business intelligence to help leadership make informed decisions.
Your work focuses on complex and/or ambiguous problem areas in existing or new BI initiatives. You take the long term view of your team's solutions and how they fit into the team’s architecture. You consider where each solution is in its lifecycle and where appropriate, proactively fix architecture deficiencies
You understand capabilities and limitations of the systems you work with (e.g. cluster size, concurrent users, data classification). You are able to explain these limitations to technical and non-technical audiences, helping them understand what’s currently possible and which efforts need a technology investment
You take ownership of team infrastructure, providing a system-wide view and design guidance. You make things simpler. You drive BI engineering best practices (e.g. Operational Excellence, code reviews, syntax and naming convention, metric definitions, alarms) and set standards.
You collaborate with customers and other internal partners to refine the problem into specific deliverables, and you understand the business context well enough to recommend alternatives and anticipate future requests. In addition to stakeholders, you may work with partner teams (business and technical) and Data Engineers/Data Scientists/BA/SDES/other BIEs to design and deliver the right solution.
You contribute to the professional development of colleagues, improving their business and technical knowledge and their understanding of BI engineering best practices.
Key job responsibilities
- Own the development, and maintenance of ongoing metrics, reports, analyses, dashboards on the key drivers of our business
- Partner with operations and business teams to consult, develop and implement KPI’s, automated reporting solutions and infrastructure improvements to meet business needs
- Develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support business needs
- Perform both ad-hoc and strategic analyses
- Strong verbal/written communication and presentation skills, including an ability to effectively communicate with both business and technical teams.
- 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
Company - ADCI HYD 13 SEZ
Job ID: A3031639
How to apply
To apply for this job you need to authorize on our website. If you don't have an account yet, please register.
Post a resumeSimilar jobs
IT Support Analyst
Epicor,
Hyderabad, Telangana
3 days ago
What You Will Be DoingPerform analysis, diagnosis, and resolution of complex computer problems, and provide best-in-class customer support for end-users. Recommend and implement corrective solutions for end-users in person, and remote support for off-site users as needed.Install, configure, test, maintain, monitor, and troubleshoot end user and computer hardware and peripheral devices. Communicate and multi-task across departments and technologies, while maintaining...

Sales Enablement Manager
Nextracker Inc.,
Hyderabad, Telangana
4 days ago
Job DescriptionNextracker – Sales Enablement Manager About NextrackerWe’re in an incredibly exciting area of technology that is fundamentally driving the global energy transition. Nextracker is a global leader of advanced solar technology solutions. Our products enable automated tracking of the sun’s movement across the sky and optimize power plant performance for a variety of terrain and weather conditions. Now operating...

Senior Manager Software Engineer
PepsiCo,
Hyderabad, Telangana
4 days ago
OverviewThe Sr Software Engineering Analyst will play a pivotal role in software development activities and long-term initiative planning and collaboration across the Strategy & Transformation (S&T) organization. Software Engineering is the corner stone of scalable digital transformation across PepsiCo’s value chain. This candidate will support the end-to-end software development experience, and deliver high quality software as part of the DevOps...
