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IntermediateLEADERSHIP
Describe a situation where you took the lead on a data initiative (for example, standardizing metrics, improving a reporting process, or introducing a new tool). How did you influence others, prioritize work, and drive execution to completion?
Data Analyst
General

Sample Answer

At my last company, our weekly performance report took analysts 6–8 hours to compile and still had frequent errors. I proposed automating it in Looker with a standardized data model. No one had explicit ownership, so I volunteered to lead. I started by interviewing 10 regular stakeholders across Sales, Ops, and Finance to understand which 15–20 metrics actually drove decisions. That let me cut about 40% of legacy metrics that no one trusted. I then worked with our data engineer to define a central fact table and dimension model, and I wrote the LookML plus validation tests myself. To get buy-in, I ran a side-by-side pilot for four weeks, sending both the old Excel report and the new dashboard. Error rates dropped to near zero and prep time shrank from ~7 hours to under 30 minutes. After that, leadership agreed to retire the old report, and we repurposed ~0.5 FTE of analyst time toward deeper analysis instead of data wrangling.

Keywords

Identified a high-friction reporting process and volunteered to lead automationGathered stakeholder input to focus on high-value metrics and deprecate unused onesPartnered with engineering to build a robust data model and automated dashboardDemonstrated impact via a pilot, then fully migrated and freed analyst capacity
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