Data Analyst - job 1 of 2

The Data Analyst position at Walden University involves analyzing data for Academic Affairs and Administration, fulfilling reporting requests, and supporting assessment requirements. You will be responsible for querying databases using SQL Server and Oracle, conducting audits, and generating reports and dashboards with Power BI and Excel.

To qualify for the Data Analyst role at Walden University, candidates should possess a bachelor’s degree with coursework in research methods and statistical analysis. Experience with tools like SQL Server, Power BI, and Microsoft Excel is also important, along with strong analytical and organizational skills.

While experience in reporting and analysis is preferred for the Data Analyst role at Walden University, the focus lies on your ability to retrieve, analyze, and present data effectively. Strong attention to detail and problem-solving skills are also highly valued.

The Data Analyst at Walden University needs to be proficient in SQL Server, Power BI, and Microsoft Excel. Familiarity with reporting software such as Cognos and Taskstream would also be beneficial, as these tools are frequently utilized in the role.

The Data Analyst at Walden University will enjoy a hybrid work model, blending in-office and remote work. This supportive environment fosters collaboration and innovation, as team members can engage actively during their in-office days while also enjoying flexibility.

In responding to this question, share specific examples of your experience with tools like SQL Server and Power BI. Highlight how you have utilized these tools for data retrieval, analysis, and presenting meaningful insights. Be prepared to discuss your proficiency levels and any projects you’ve completed.

To answer this, you might explain your systematic approach to data auditing, such as using validation checks, cross-referencing data sources, and maintaining detailed records of your findings. Emphasize the importance of attention to detail in ensuring data integrity.

When answering this question, narrate a specific challenge you faced in a past project, explain the steps you took to address it, and detail the outcome. Highlight your problem-solving skills and ability to adapt to evolving project requirements.

In your response, demonstrate your organizational skills by describing your method of assessing urgency and importance of data requests, how you communicate timelines to stakeholders, and your strategies for managing your workload effectively.

Explain your strategy for simplifying complex data findings using visuals and straightforward language. Discuss the importance of tailoring your presentations to match the audience's background, ensuring they can easily understand the insights being shared.

Share your strategies for staying informed about the latest tools and methodologies in data analysis, such as attending webinars, following industry publications, and participating in relevant networking groups. Mention any specific resources you find particularly helpful.

Your answer should highlight the capabilities of Power BI in transforming data into interactive dashboards and reports. Discuss how it enhances data visualization, aids in decision-making, and allows for real-time insights, which can be especially useful for the Data Analyst role.

In your answer, discuss specific metrics such as graduation rates, course completion rates, and student engagement levels. Emphasize how these metrics relate to data analysis and decision-making in the context of improving academic programs.

Explain the steps you would take when faced with discrepancies in data, including investigating the source of the issue, validating the data against reliable sources, and communicating findings with your team to ensure transparency.

Discuss your project management experience, emphasizing how you've successfully led data-related projects. Highlight your planning skills, the ability to work collaboratively, and how you ensured timely and accurate completion of project deliverables.