0–2 years · Junior — Requirements · SQL · Stakeholder management · Documentation · Excel · Process mapping
Removes duplicates and checks for blank rows; uses sorting and filtering to identify outliers; applies data validation to ensure formats are consistent; documents the cleaning process for transparency.
What tools or functions in Excel do you find most useful during the data cleaning process?
Reviews any existing documentation related to the process; seeks input from others who are familiar with the process; observes the process in action if possible; creates a draft based on gathered information for review; schedules a meeting to validate findings with the process owner.
During the review, the process owner reveals critical steps were omitted. How do you address this?
Asks targeted questions to identify user personas and pain points; conducts a quick stakeholder interview to gather context; reviews any existing data or analytics related to user engagement; documents insights for further discussion; prepares a follow-up session to refine requirements.
The stakeholder insists on a specific feature that doesn’t align with user needs. How do you handle this situation?
Identifies which sources are conflicting and assesses their credibility; checks for systematic errors in data collection methods; consolidates data to see overall trends before diving deeper; reaches out to data owners for clarification; documents findings and prepares for a comparison analysis.
After further analysis, you find that one source is consistently unreliable. What steps do you take to mitigate this issue?
Sends a gentle reminder highlighting the importance of their feedback; offers to schedule a quick call or meeting to discuss; escalates the issue to a manager if necessary, while maintaining professionalism; keeps a record of attempts to engage the stakeholder.
What if the stakeholder provides feedback that contradicts the project objectives?
Examines the query for potential filtering or join conditions that could lead to nulls; checks the underlying data for integrity issues; looks at the schema to ensure correct data types are being used; considers if any recent changes have impacted the data structure.
What if the schema appears correct but you still receive nulls?
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