0–2 years · Junior — SQL · Excel · Power BI / Tableau · Statistics · Python · Stakeholder reporting
Identifies the extent and pattern of missing data; prioritises fields critical to the analysis; applies appropriate imputation methods or flags the missing data; communicates implications of missing data to stakeholders; decides whether to proceed with analysis or delay for complete data.
You discover that the missing data is due to a reporting error. How do you prevent this issue from recurring?
Calculates the correlation coefficient using Pearson’s method; visualises data with a scatter plot; checks for linearity and outliers; conducts a hypothesis test for significance; considers the coefficient of determination for explained variance.
What would you do if you find a high correlation but low causation?
Analyzes time series data for patterns or anomalies; checks for recent changes in data collection methods or processes; reviews relevant external factors affecting performance; discusses findings with team members; documents any findings for follow-up.
You find that a change in the data source caused the drop. How do you communicate this to the stakeholders?
Describes the nature of the disagreement, including data sources; outlines steps taken to investigate the discrepancy; specifies how they communicated findings to relevant parties; reflects on the impact of their resolution.
What did you learn about the data that you didn't know before?
Uses the DISTINCT keyword in SQL or the Remove Duplicates feature in Excel; checks for duplicate rows based on key fields; considers implementing data validation rules; reviews the source of duplicates to prevent future occurrences; documents the cleaning process for transparency.
What if some duplicates contain different values for the same key? How would you handle that?
Uses the DATE_TRUNC function to group by month; aggregates sales amount using SUM; filters for the last year with a WHERE clause; orders results by month; ensures proper handling of NULL values if necessary.
What if the sales data includes multiple years? How would you adjust your query?
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