Business Intelligence Developer

As a Business Intelligence Developer at TMC Transportation, you'll be responsible for designing and deploying advanced Power BI reports and dashboards that can transform raw data into actionable insights. Your key duties will also include creating complex data models, optimizing report performance, conducting data analysis to support decisions, and collaborating with stakeholders to translate business requirements into effective solutions.

To be considered for the Business Intelligence Developer position at TMC Transportation, candidates should hold a Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. A Master's degree is preferred. Additionally, applicants should have a minimum of 5 years of experience in business intelligence or data analytics, with at least 3 years of hands-on experience using Power BI, including proficiency in DAX and Power Query.

For the Business Intelligence Developer role at TMC Transportation, proficiency in Power BI is essential. Candidates should have a strong understanding of SQL and relational databases, data warehousing concepts, and ETL processes. Familiarity with other BI tools, cloud data platforms such as Azure and AWS, as well as data integration tools like SSIS, will be advantageous.

TMC Transportation is committed to the continuous growth of its employees, including Business Intelligence Developers. This includes providing opportunities for training in Power BI functionalities, ongoing learning about emerging BI technologies and best practices, and creating an environment where knowledge sharing and collaboration are encouraged.

At TMC Transportation, Business Intelligence Developers enjoy a competitive salary and a comprehensive benefits package, including a 401(k) plan and employee ownership through an ESOP program. The company fosters a work environment that values integrity and service, which contributes to a fulfilling employee experience.

When discussing your experience with Power BI in an interview, provide specific examples of projects you've worked on. Highlight the types of data visualizations you developed, how they were implemented to solve specific business problems, and the impact these reports had on decision-making within the organization.

In responding to this question, detail your strategies for optimizing report performance, such as reducing the volume of data loaded, using aggregate tables, and implementing proper data modeling techniques. Emphasize any tools or techniques you’ve used to monitor performance and measure the success of your optimizations.

When answering this question, share a specific example that highlights your communication skills and ability to translate technical BI concepts into language that stakeholders can understand. Mention how you ensured that the final product met the users' needs and led to improved outcomes for the business.

Explain the data analysis methodologies you utilize, such as statistical methods, visualization techniques, or data cleansing procedures. Highlight the steps you take to validate data accuracy, including cross-referencing with other datasets or running integrity checks on your models.

DAX is crucial for advanced data modeling in Power BI. Discuss your level of expertise with DAX, including specific functions you frequently use, such as CALCULATE or FILTER. Provide examples of how you’ve applied DAX to create complex measures or calculated columns in your reports.

Highlight the methods you use to keep your BI knowledge current, such as attending industry conferences, participating in webinars, subscribing to relevant journals, or being active in online BI communities. Emphasize your commitment to professional development and continuous learning.

Documentation is key in BI projects for ensuring knowledge transfer. Explain your process for documenting report designs, data models, and data flow diagrams. Discuss your use of tools or templates that help streamline this process, making it easier for others to understand and utilize your work.

In such situations, stress the importance of open communication and negotiation. Share your approach to gathering all viewpoints, assessing the significance of each requirement, and working towards a solution that best aligns with the overarching goals of the business.

Prepare a detailed example where you constructed a complex data model. Discuss the challenges you faced, the strategies you employed to overcome them, and the eventual outcome of the project in terms of actionable insights or business impact.

Offer practical advice such as starting with the official documentation and tutorials available on Microsoft’s website. Suggest building simple projects to gain hands-on experience, joining local or online user groups, and leveraging community forums to ask questions and share knowledge.