Junior Data Analyst

As a Junior Data Analyst at cBEYONData, your main responsibilities include providing functional data expertise across various data domains, supporting the documentation of functional specifications, and collaborating with teams for data validation. You'll also help establish data governance policies to ensure data quality and compliance, and maintain exhaustive documentation for all data management procedures.

To qualify for the Junior Data Analyst role at cBEYONData, you must have a bachelor’s degree in a related field and at least 3 years of relevant experience. An active DoD Secret security clearance is required, as well as strong analytical skills and the ability to communicate effectively within diverse teams.

cBEYONData ensures data quality by establishing comprehensive data governance policies and engaging in rigorous data validation processes. As a Junior Data Analyst, you will collaborate closely with data quality analysts and stakeholders to monitor and uphold high data standards across functional teams.

In your role as a Junior Data Analyst at cBEYONData, familiarity with data management tools like Collibra is preferred. You'll also be engaged in using various documentation and data mapping templates to track data lineage and management processes efficiently.

At cBEYONData, we are committed to your professional growth. As a Junior Data Analyst, you will have numerous opportunities for advancement, particularly through continuous learning on large-scale ERP implementations and gaining exposure to high-level decision-making within cross-functional teams.

When answering this question, discuss specific policies you have been involved with creating or enforcing, particularly in relation to data quality and compliance, and how you contributed to or supported these efforts in previous roles.

In this case, be sure to mention your organizational skills and any tools you use to prioritize tasks effectively, while sharing specific examples of how you've successfully managed competing priorities in past positions.

Provide a clear example demonstrating your communication skills and ability to build relationships, focusing on how you approached conflict resolution and ultimately fostered collaboration for the project's success.

Discuss your process step-by-step, emphasizing the importance of detailed documentation in your work to maintain clarity and quality in data management and how you ensure that all stakeholders are aligned.

Here, describe a scenario where your analysis led to a significant decision, touching on how you presented your findings and the impact it had on the organization, demonstrating your analytical and communication skills.

You should clarify your validation process, which may include cross-checking data with reliable sources, employing data quality tools, and collaborating with peers to ensure accuracy before disseminating information.

Talk about the data management tools you've used, particularly focusing on your experience with Collibra or similar resources. Provide details on how you used these tools to support data quality and governance in your projects.

Share a specific example where data analysis played a crucial role in resolving an issue. Explain your approach to analyzing the data, the insights gained, and how those insights led to a solution.

Discuss any relevant experience you have, especially with SAP or Oracle systems. Highlight any role you played on projects and the outcomes that resulted from your contributions.

Mention your commitment to continuous learning through resources like industry publications, online courses, webinars, or professional networking, emphasizing your proactive approach to staying informed about data trends.