The 6 Dimensions of Data Quality — Completeness
Missing data can look perfectly normal. How completeness failures distort analysis and the decisions that follow.
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Questions, experiments, data, and the people working with them. Every essay, in one place.
18 articles
Practicing Data Analysis Is Broken Too (Not Just Hiring)
Most analyst practice trains execution on clean toy problems instead of judgment under ambiguity.
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AI Broke Your Hiring Signals (You Just Haven’t Noticed Yet)
LLMs made polished take-homes and portfolios easier to fake, which breaks many old hiring signals.
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Why Hiring Data Analysts Is Still Broken (And We Pretend It’s Not)
Many analyst hiring processes still reward presentation polish and credential proxies over analytical judgment.
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Start by Not Touching the Data
Good analysis often starts by clarifying the question and the business context before touching the dataset.
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Stop Hiring the Resume: The Proxy-Metric Trap in Recruiting
The resume is a noisy proxy for competence, and teams confuse that proxy with evidence of actual analytical ability.
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What Can We Learn from Em-Dashes?
Can em dashes reveal AI-written text or a candidate’s ability? Tal Mizrachi examines punctuation, superficial signals, and bad hiring conclusions.
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Well-defined processes and deserts
A process can be tightly defined and still be strategically wrong, especially when teams confuse structure with usefulness.
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How ChatGPT will change home assignments?
A January 2023 perspective on ChatGPT, technical take-home tests, and why hiring teams need to assess analytical ability beyond working code.
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First Data Job Interviews
Questions to ask in your first data job interview: the work, the team, mistakes, growth, and whether the process respects your time.
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Statistics and analysts
Statistics matters for analysts, but mostly as a way to reason better rather than as a badge of mathematical purity.
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Dashboards are the problem, Not the solution
Dashboards often manufacture the feeling of clarity before a team has done the harder work of defining what matters.
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The Imposter Syndrome
A personal perspective on imposter syndrome in data careers, comparing yourself with colleagues, and talking openly about what you do not know.
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How to approach people you don't know on LinkedIn
How to message someone you do not know on LinkedIn: introduce yourself, explain the context, and make a specific request with the Inigo Montoya method.
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The Intransitivity of AB Tests
Winning comparisons in a sequence of A/B tests do not guarantee a clean global ranking of variants.
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The Greediness of AB Tests
A/B testing can optimize for local wins while quietly pushing teams away from broader learning.
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The Temporal Limitations of AB Testing
A/B test results are bounded by time, context, and population, even when the output looks statistically neat.
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What are the characteristics of good business analysis?
Good business analysis is repeatable, grounded in business rationale, and explicit about what action it makes possible.
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