The 6 Dimensions of Data Quality - Completness
Missing data can look perfectly normal. How completeness failures distort analysis and the decisions that follow.
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Analytical Thinking
How good analysts frame questions, inspect ambiguity, and avoid confident mistakes.
Start here if you care more about how to think than how to run one more tool.
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?
My wife always makes fun of me for mispronouncing words. Sometimes it’s an English word with the stress in the wrong place, sometimes it’s a Hebrew word where I arbitrarily decide where the wandering segol should go. I claim it’s part of…
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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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How to approach people you don't know on LinkedIn
I sometimes have the good fortune of receiving messages with more specific questions from people I don’t know.
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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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