I have often found that it is difficult to explain to business stakeholders what exactly a data analyst on my analytics team does. And even beyond that, I have sometimes found it difficult to explain to the data analysts themselves why their job is so valuable to the business and what their future career opportunities might look like.
Data analysts at early stage, tech-adjacent start ups have unique jobs that allow you to work on a bunch of different things
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Key Performance Indicators (KPIs) are management tools for monitoring and improving business processes. KPIs are helpful in understanding if you’re hitting your business objectives, improving over time, and helping to
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As the new year rolls around, many Data leaders are thinking about (or have already created) 2019 road maps for their team and function. Since Data often works cross functionally
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I often get asked by junior data professionals how they can improve as data scientists. Today I will outline a generic framework for thinking about learning and provide a few
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A hypothetical tech company just completed an A/B test of two experiences, A (the test) and B (the control). The test was set up properly and executed successfully. The following
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The sprint prioritization meeting is integral to the agile process. While many people may be more familiar with meetings such as sprint planning, stand up, back log grooming, and retro,
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A lot of Data Science literature focuses on the mathematical and algorithmic aspects of model building. This is after all what much of academia spends time grappling with. However the
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Many Data Scientists come from a hard science background – statistics, math, physics. Hard sciences have a bias towards empirical and objective truths: a correct answer exists and we can
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