In the past few years, much has been written about problems like discoverability, observability, data quality, and the need for data teams to become more “engineering oriented” in their mindset. Movements like analytics engineering and open source tooling like dbt, Dagster, and Great Expectations have done an amazing job arming data practitioners with the tools that they need to start adopting the best practices of software engineering like modularity, testing, and release management. This shift in mindset has resulted in
…Tag: Teams
Providing clarity and structure around expectations empowers your team members to decide what skills and competencies to focus on improving. However, writing the career ladder is only the beginning of
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After last week, I hope you’re on board that a career ladder is important, so let’s jump right into creating one that works for your team. This post will walk
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Poor communication within an Analytics team and between that team and the rest of the company, leaves highly skilled Analysts solving the wrong questions, lacking support for big ideas and
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