Business Intelligence Engineer, Global Data Analytics
2 weeks ago
Are you an experienced Business Intelligence Engineer interested in an opportunity to help drive Amazon's flywheel and develop your A to Z business understanding? Do you enjoy learning about different businesses while driving innovation in the data and analytics space?Amazon Finance Operations (FinOps) is looking for a highly skillful Business Intelligence Engineer to be part of the Global Data & Analytics Team (GDA).
As an BIE professional at Amazon FinOps, you will directly impact business outcome and have the opportunity to work on some of the world's largest data sets, influence the long-term evolution of our data analytics capability and help build data driven operational activities in ever changing business environments.
The candidate is expected to possess industry best practices for building reporting solutions.The candidate is expected to have background in the AWS technology stack (S3, Glue, IAM, Redshift) and must have extensive experience with all standard data warehousing technical components (e.g.
ETL, Reporting, and Data Modelling), infrastructure (hardware and software) and its integration, writing optimized SQL queries, excellent problem-solving ability. Written and verbal communication skills are required as the candidate will work very closely with a diverse, global team. Ability to create and manage work plans, timelines and accommodate multiple priorities is required.This is a technical lead role responsible to design, implement and scale:
(1)
Security and Governance to protect sensitive data, define access controls ensuring compliance with regulatory requirements (2) Permissions strategy (3) Policies and procedures for other engineers to ensure published content meets quality and performance benchmarks.
The role will also drive collaboration among BI engineers and foster knowledge sharing and act as a SPOC for the data engineering teams.
Role will also own and develop our online Analytics Portal that hosts data visualization dashboards (QuickSight).Key job responsibilities- Optimize and organize data pipelines into the visualization environment (QuickSight); contribute to data design, data modelling and data extracts/transforms- Work on the governance foundations of the analytics environment for the GDA team- Define technical requirements for Data Engineering teams- Review technical work of other team members, provide improvement advice- Provide input and recommendations on technical issues for the Data Engineering team- Enhance online Analytics Portal with new features and capabilities to cover various team's needs (dynamic report and data source cataloging, enhanced report visibility, continuous integration with QuickSight, Tableau, and other applications,...)
- Work in a genuinely global environmentNote:this is an office-based role with currently 3+ days of office presence a weekAbout the teamGlobal Data Analytics (GDA) empowers the world's largest Accounts Receivable (AR) and Payable (AP) departments to deliver large scale business outcomes through advanced data capabilities and real time, actionable insights.
GDA's mission is "As trusted and business-focused analytics partners, we provide timely data, analytics, and insights across Service Centers (SCs) and global functions.
We are custodians of data and metrics definitions. We apply science methods to large-scale transactional processes."We are open to hiring candidates to work out of one of the following locations:
Hyderabad, TS, IND
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Engineering, Math, Finance, or related discipline 5+ years of professional experience working with large data sets and writing complex SQL queries to pull data 3+ years of relevant experience in a Business Analyst or BI Engineer role
- Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner
- Excellent communication (verbal and written) and interpersonal skills
- Experience with static websites (JavaScript, CSS, HTML), Typescript, Python
PREFERRED QUALIFICATIONS
- Data engineering credentials
- Experience with Star Schemas, Dimensional Models, Datamarts in Traditional Data Warehouses as well as in Big Data / Advanced Analytics domains
- Advanced analytical skills and is detailoriented, while also seeing and understanding the big picture
- Experience working with cloud database technologies such as Amazon Redshift, RDS or Azure DW
- UI and UX design experience
- Git and DevOps experience
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