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Business Intelligence Engineer
1 month ago
We are seeking a highly skilled Business Intelligence Engineer to join our Global Data Analytics Team (GDA) at ADCI HYD 13 SEZ - H84. As a key member of our team, you will play a critical role in driving business outcomes and developing your A to Z business understanding.
Key Responsibilities- Design, implement, and scale security and governance solutions to protect sensitive data and ensure compliance with regulatory requirements.
- Develop and maintain permissions strategies, policies, and procedures to ensure published content meets quality and performance benchmarks.
- Collaborate with BI engineers to foster knowledge sharing and drive collaboration among teams.
- Own and develop our online Analytics Portal, enhancing data visualization dashboards and driving innovation in the data and analytics space.
- Optimize and organize data pipelines into the visualization environment, contributing to data design, data modeling, and data extracts/transforms.
- Work on the governance foundations of the analytics environment for the GDA team.
- Define technical requirements for Data Engineering teams and review technical work of other team members, providing improvement advice.
- Provide input and recommendations on technical issues for the Data Engineering team and enhance online Analytics Portal with new features and capabilities.
Global 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. We are a trusted and business-focused analytics partner, providing timely data, analytics, and insights across Service Centers (SCs) and global functions.
Requirements- 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.
- 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 detail-oriented, 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.