Business Intelligence Engineer

As a Business Intelligence Engineer at our company, your primary responsibilities will include designing and building dashboards in Power BI, enhancing existing reports, and developing ETL processes using SQL and Python. You will work closely with different teams to understand business requirements and translate them into technical solutions, ensuring data integrity and providing necessary documentation.

To qualify for the Business Intelligence Engineer position, you should have at least a BSc degree in Computer Science or a related field. A minimum of two years of experience in developing dashboards with Power BI and three years in ETL processes using large databases is required. Familiarity with cloud platforms like AWS or Azure, as well as coding experience in SQL and Python, will significantly strengthen your application.

The Business Intelligence Engineer will primarily use Power BI to design dashboards and reports. Additionally, expertise in SQL and Python is essential for developing ETL processes and ad hoc reports. Familiarity with ETL tools like SSIS, cloud platforms, and task management tools like JIRA will also be beneficial.

In the role of a Business Intelligence Engineer, cross-functional collaboration is crucial. You will engage with Project Managers, Business Analysts, and Data Analysts to ensure that business requirements are fully understood and accurately translated into technical specifications, allowing the team to deliver insightful analytics effectively.

Key skills for a successful Business Intelligence Engineer include strong analytical thinking, problem-solving abilities, and effective communication. Time management and the ability to prioritize tasks in a fast-paced environment are essential, along with technical skills in data analysis and visualization tools.

In answering this question, highlight specific dashboards you've designed, the data sources used, and how those dashboards impacted decision-making. Be sure to mention any unique features you've implemented and demonstrate your proficiency with Power BI.

Discuss your approach to ETL development, including how you gather requirements, design the process, and ensure data quality and performance. Mention specific tools you have used like SSIS, and provide examples of challenges faced and how you addressed them.

Talk about the techniques and best practices you follow to ensure accuracy, such as implementing validation checks, regular audits, and collaborating with data custodians. Explain how you verify data completeness and reliability before finalizing reports.

Narrate a specific instance where you faced challenges, the approach you took to overcome them, and the results. Highlight your problem-solving skills and ability to work under pressure.

Discuss your methods for staying current, such as following industry blogs, participating in webinars, or taking courses. Mention any communities or forums you engage with to share knowledge and learn from others.

Explain your methodology for interacting with stakeholders, such as conducting interviews or workshops, and how you translate their needs into technical specifications for BI solutions.

Emphasize the role of documentation in ensuring reproducibility, user understanding, and future maintenance of BI projects. Provide examples of what you typically document in your processes.

Share your experience with SQL, focusing on the types of queries you’ve written and how you've used SQL for reporting and ETL processes, highlighting complex joins, subqueries, or data transformations you've executed.

Detail your experience working with cloud platforms such as AWS or Azure, discussing how you've implemented solutions there, any relevant services you've utilized (like AWS Redshift or Azure Data Factory), and the benefits you observed.

Share techniques you use to manage time effectively, prioritize tasks, and communicate with team members, along with examples demonstrating your ability to deliver quality work under time constraints.