Data Analytics Modeler

A Data Analytics Modeler at cBEYONData is responsible for developing financial dashboards, optimizing data efficiency, and providing insights by analyzing financial data. You’ll work closely with functional teams to create and sustain user-facing products using Microsoft Power Platform, while also identifying and resolving accounting anomalies to ensure the integrity of the financial reporting process.

To qualify for the Data Analytics Modeler position at cBEYONData, candidates need a Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, along with at least five years of experience in BI or Data Analytics. Proficiency with Oracle Federal Financials, Microsoft Power Platform, and a Secret Security clearance are also required to excel in this role.

At cBEYONData, diversity and inclusion are fundamental. The company is an EEO Employer, committed to providing reasonable accommodations to qualified individuals with disabilities, ensuring all applications are evaluated without regard to race, gender, or background. If you need assistance during the application process, the dedicated recruiting team is ready to help.

A Data Analytics Modeler at cBEYONData uses a variety of tools, including Microsoft Power Platform for dashboard creation, Oracle tools like Discoverer and APEX for financial data collection, and statistical software for data analysis. Familiarity with BI software and Oracle e-Business Suite is crucial for success in this role.

The Data Analytics Modeler role at cBEYONData is currently remote, providing flexibility for work-life balance. However, management may adjust work arrangements based on client needs, which could require a hybrid or full-time on-site presence in the future.

When answering this question, highlight specific projects where you analyzed financial data, the tools you used, such as Discoverer or APEX, and the impact of your work. Mention methodologies and any software to showcase your technical expertise.

Discuss your step-by-step approach to identifying, analyzing, and resolving discrepancies. Highlight your ability to document your findings and collaborate with cross-functional teams to ensure proper corrective actions are taken.

Talk about how you prioritize user needs and data visualization best practices in dashboard development. Mention specific examples of how you have designed user-friendly interfaces using Microsoft Power Platform.

Share a situation where you've successfully reengineered a business process. Focus on the steps you took, the challenges faced, and the outcomes achieved to demonstrate your ability to optimize processes effectively.

Mention any relevant programming languages, such as SQL for database management or Python for data manipulation and analysis. Discuss your experience applying these languages in real-world scenarios to illustrate your technical capability.

Highlight the importance of validation checks, reconciling data sources, and maintaining thorough documentation. Discuss any tools or techniques you use to verify the accuracy of the data before reporting.

Describe your approach to tracking unposted transactions, including the tools and methods you would use to identify discrepancies and actions you might recommend to ensure timely processing.

Provide a brief explanation of SFIS and its significance in financial reporting, especially in relation to the Department of Defense. Emphasize your understanding of how it integrates and supports financial data management.

Discuss your commitment to continuous learning through professional development courses, industry conferences, or following relevant publications. Mention specific topics or areas you are currently exploring to show your engagement.

When answering, choose an example that demonstrates clear communication and collaborative problem-solving skills, focusing on how you interacted with various departments to achieve a common goal.