Business Intelligence Developer

As a Business Intelligence Developer at Spalding Consulting, Inc., you'll be responsible for developing and testing solutions that support data-driven decisions, collaborating with team members and customers to understand product requirements, identifying automation opportunities, and troubleshooting any errors that arise. Your role is vital for enhancing decision-making capabilities and optimizing applications.

To qualify for the Business Intelligence Developer position at Spalding Consulting, Inc., you need at least 2 years of development experience with business intelligence tools, an associate's degree, and strong communication skills for effective collaboration. While a bachelor's degree in a technical field is preferred, the focus is also on having pertinent experience.

Yes, the Business Intelligence Developer position at Spalding Consulting, Inc. is primarily a remote job. However, local candidates will need to complete some onboarding at our Patuxent River location, and occasional on-site training may be required. We aim to offer maximum telework benefits for all team members.

During your tenure as a Business Intelligence Developer at Spalding Consulting, Inc., you will work with a variety of business intelligence tools and data visualization techniques aimed at supporting customer goals. This role provides you with the chance to work on state-of-the-art applications and contribute to process improvements in a collaborative setting.

At Spalding Consulting, Inc., as a Business Intelligence Developer, you'll experience a collaborative and supportive team culture. We prioritize open communication and teamwork to drive innovative solutions for our clients, particularly in the challenging context of the Department of Defense.

When answering this question, focus on the specific tools you have worked with, such as Tableau, Power BI, or SQL. Discuss the projects you've managed using these tools, emphasizing how you utilized them to gather insights and drive business decisions.

Explain your systematic approach to troubleshooting, starting from identifying the issue, gathering relevant data or error messages, and analyzing the problem. Highlight how collaboration with team members can also expedite the resolution process.

Discuss best practices like keeping it simple, using the right type of charts for your data, and ensuring that your visuals align with user needs. Mention any specific experiences where data visualization made a significant impact on decision-making.

Share specific examples of projects where you're under pressure to meet deadlines. Emphasize your time management skills, prioritization of tasks, and how you communicate with your team to keep everyone aligned.

Discuss how data accuracy, stakeholder involvement, and a clear understanding of business goals are critical. Stress the importance of aligning the insights with real business objectives to drive effective outcomes.

Provide a specific scenario where you identified a manual task that was inefficient and describe the automation processes you implemented. Highlight the impact this automation had on team efficiency or decision-making.

Mention your commitment to continuous learning—whether through online courses, industry seminars, or professional networks. Highlight specific resources or communities that you find valuable in staying informed.

Talk about the types of data—structured and unstructured—that you've worked with. Share specific challenges, such as data integrity or integration issues, and explain how you addressed them.

Discuss techniques like using simple language, visual aids, and relatable analogies. Emphasize your ability to tailor your communication style based on the audience to ensure understanding.

Reflect on your passion for using data to uncover insights that drive meaningful change. Share your excitement about being part of a team that supports the Department of Defense and the significance of contributing to critical missions.