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Domain Expertise and AI Tools for Data Analysts | Meghan Maloy, Staff Analytics Engineer
Key Lessons
* Real-world experience and domain expertise can be your edge as a data analyst. Understanding the domain leads to better understanding the data.
* AI can’t replace data analysts who understand the context of their data and have the communication skills to share results.
* Using AI tools effectively requires clear & specific prompts while also understanding the limitations of LLMs.
* Why Staff Level is hard to define and how to handle it.
* NYC Open Data is a great way to explore some real world data.
Links
* Upcoming NYC Open Data Classes
* How I Learned to Understand the World by Hans Rosling
* How not to be ignorant about the world
Timeline
[00:00:00] Introduction to the Bits of Chris show and guest Meghan Maloy, staff analytics engineer at Datadog.
[00:00:58] Discussion on using New York City open datasets to investigate real-life experiences.
[00:02:19] Meghan shares an example of investigating traffic light timing changes in her neighborhood using open data.
[00:05:33] Exploration of 311 data sets and their applications in understanding city complaints.
[00:08:14] Meghan discusses her presentations at meetups using New York City open data.
[00:09:34] Conversation about approaches to exploring data sets and asking questions.
[00:12:54] Discussion on consuming information and book recommendations, including "How I Learned to Understand the World" by Hans Rosling.
[00:17:21] Insights on the importance of domain expertise for data analysts and understanding data collection methods.
[00:23:14] Meghan shares her experience transitioning to a staff-level role and finding impactful work.
[00:27:23] Chris and Meghan discuss the challenges of measuring performance and impact at higher-level roles.
[00:31:58] Conversation about the impact of AI and LLMs on the future of data analysis roles.
[00:37:52] Discussion on using AI tools, including ChatGPT, Perplexity, and Claude, for various tasks.
[00:44:38] Insights on the importance of specificity in prompts when using AI tools and interacting with colleagues.
[00:50:34] Meghan shares her experience during a three-month sabbatical and the benefits of work-life balance.
[00:53:53] Information about New York City Open Data training sessions and the Open Data Ambassadors program.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit bitsofchris.com
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By Second Brains and Soft Skills for Staff Engineers. Augment, Stay Human.Key Lessons
* Real-world experience and domain expertise can be your edge as a data analyst. Understanding the domain leads to better understanding the data.
* AI can’t replace data analysts who understand the context of their data and have the communication skills to share results.
* Using AI tools effectively requires clear & specific prompts while also understanding the limitations of LLMs.
* Why Staff Level is hard to define and how to handle it.
* NYC Open Data is a great way to explore some real world data.
Links
* Upcoming NYC Open Data Classes
* How I Learned to Understand the World by Hans Rosling
* How not to be ignorant about the world
Timeline
[00:00:00] Introduction to the Bits of Chris show and guest Meghan Maloy, staff analytics engineer at Datadog.
[00:00:58] Discussion on using New York City open datasets to investigate real-life experiences.
[00:02:19] Meghan shares an example of investigating traffic light timing changes in her neighborhood using open data.
[00:05:33] Exploration of 311 data sets and their applications in understanding city complaints.
[00:08:14] Meghan discusses her presentations at meetups using New York City open data.
[00:09:34] Conversation about approaches to exploring data sets and asking questions.
[00:12:54] Discussion on consuming information and book recommendations, including "How I Learned to Understand the World" by Hans Rosling.
[00:17:21] Insights on the importance of domain expertise for data analysts and understanding data collection methods.
[00:23:14] Meghan shares her experience transitioning to a staff-level role and finding impactful work.
[00:27:23] Chris and Meghan discuss the challenges of measuring performance and impact at higher-level roles.
[00:31:58] Conversation about the impact of AI and LLMs on the future of data analysis roles.
[00:37:52] Discussion on using AI tools, including ChatGPT, Perplexity, and Claude, for various tasks.
[00:44:38] Insights on the importance of specificity in prompts when using AI tools and interacting with colleagues.
[00:50:34] Meghan shares her experience during a three-month sabbatical and the benefits of work-life balance.
[00:53:53] Information about New York City Open Data training sessions and the Open Data Ambassadors program.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit bitsofchris.com