Interview practice for data analysis

General practice authored by Roamwise. Not actual employer questions.

1. Describe a real example of turning a vague reporting request into an answerable question. If you use the fictional project instead, label it clearly.

Follow-up: Which two uncertainties would you clarify before analysing?
My review: Did I separate the question, scope and my assumptions?

My answer (real example / explicitly fictional exercise:


Open point:


2. Explain a decision about a missing or repeated record: why you removed, retained or flagged it.

Follow-up: How could the choice change the total or interpretation?
My review: Did I explain reasoning rather than list cleaning operations?

My answer (real example / explicitly fictional exercise:


Open point:


3. How would you revise a table or chart when its reader drew an unsupported conclusion?

Follow-up: Which omitted limitation matters to the reader?
My review: Did I distinguish presentation choices from claims supported by data?

My answer (real example / explicitly fictional exercise:


Open point:


4. Describe when a small sample should not be generalised. Separate your measurement, observation and unknowns.

Follow-up: What data would you need for a next investigation?
My review: Did I present sample data as real-world performance?

My answer (real example / explicitly fictional exercise:


Open point: