ΒΙ Engineer

As a BI Engineer at Satori Analytics, your main responsibilities will include collaborating with Product Owners to understand business requirements, designing and implementing scalable data architectures, and optimizing ETL processes. You'll also stay updated on new technologies to enhance operations and ensure timely delivery of quality solutions while maintaining thorough documentation.

To qualify for the BI Engineer position at Satori Analytics, you should have 1-2 years of relevant experience, preferably in the telecommunications sector, along with a degree in Computer Science or a related field. Proficiency in tools like Oracle ODI and SAP BO, strong SQL skills, and an understanding of OLAP technologies, BI analytics, and data warehousing concepts are also essential.

At Satori Analytics, as a BI Engineer, you'll work extensively with Oracle ODI, SAP BO, and various ETL and presentation tools. Strong SQL skills will be critical, and familiarity with data warehousing and dimensional modeling concepts will be advantageous for your day-to-day operations.

The work culture at Satori Analytics is collaborative and innovative, placing a strong emphasis on teamwork and communication. You will have the chance to work in a supportive environment where your contributions are valued, and there are ample opportunities for professional development through training budgets and skill enhancement programs.

Working as a BI Engineer at Satori Analytics comes with a range of perks, including a competitive salary, hybrid work options, private insurance, top-tier tech gear, and a dedicated training budget to help you advance your skills. You will also be part of a stellar team making a difference in the data landscape.

In answering this, highlight specific ETL tools you’ve used, describe your experience with data extraction, transformation, and loading, and provide examples of successful projects where you've optimized ETL processes for better performance and efficiency.

Discuss your approach to data validation and cleansing, as well as your experience in implementing automated quality checks and tests. Emphasize the importance of accurate data for making informed business decisions and provide concrete examples of how you’ve achieved this in your past roles.

Talk about your commitment to continuous learning. Mention resources you utilize such as online courses, attending webinars, participating in industry forums, or being part of related professional groups to keep abreast of trends in BI technologies and tools.

Provide a specific example of a BI project that presented challenges. Explain the nature of the challenges, the steps you took to address them, and the successful outcome. This shows your problem-solving ability and resilience in a BI Engineering role.

Detail your experience with SQL and your knowledge in query tuning techniques such as indexing, analyzing query execution plans, and restructuring queries to improve performance. Providing an example of a slow query that you optimized can be highly beneficial.

Discuss your methods for effective communication and collaboration. Highlight your experiences in working with cross-functional teams, understanding the importance of aligning technical solutions with business needs, and providing examples where teamwork led to successful project outcomes.

Explain OLAP technologies' role in BI, focusing on how they support high-speed data analysis and multidimensional queries. Share specific instances where you’ve applied OLAP tools in your projects to provide insights and facilitate decision-making.

Describe your approach to project scoping including gathering requirements, estimating time and resources, and identifying key deliverables. Emphasize the importance of clear documentation for ensuring project alignment and successful execution.

Highlight how BI enables organizations to make data-driven decisions, boosts operational efficiency, and provides competitive advantages. Share insights on the growing role of analytics in fostering innovation and strategic planning.

Explain how you incorporate user feedback to refine BI solutions, improve data reporting functionalities, and ensure the final product meets user expectations and business objectives. Providing examples of adjustments made based on feedback can be effective.