Dear Analyst – Details, episodes & analysis

Podcast details

Technical and general information from the podcast's RSS feed.

Dear Analyst

KeyCuts

News

Education

Technology

Frequency: 1 episode/27d. Total Eps: 10

A show made for analysts: data, data analysis, and software.

Site

RSS

Apple

Data updated on 04/07/2026

Recent rankings

Latest chart positions across Apple Podcasts and Spotify rankings.

Apple Podcasts

🇨🇦 Canada - Tech News
13/01/2025
#99
🇨🇦 Canada - Tech News
12/01/2025
#78
🇨🇦 Canada - Tech News
11/01/2025
#67
🇨🇦 Canada - Tech News
10/01/2025
#51
🇬🇧 Great Britain - Tech News
05/10/2024
#88
🇬🇧 Great Britain - Tech News
04/10/2024
#75
🇬🇧 Great Britain - Tech News
03/10/2024
#49
🇺🇸 USA - Tech News
20/09/2024
#99

Spotify

No recent rankings available

Shared links between episodes and podcasts

Links found in episode descriptions and other podcasts that share them.

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https://www.thekeycuts.com
10 shares
https://www.thekeycuts.com/dear-analyst-124-navigating-people-politics-and-analytics-solutions-at-large-companies-with-alex-kolokolov/
1 share
https://www.thekeycuts.com/dear-analyst-123-telling-data-stories-about-rugby-and-the-nba-with-ben-wylie/
1 share

RSS feed quality and score

Technical evaluation of the podcast's RSS feed quality and structure.

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RSS feed quality

To improve

Score global : 63%

Publication history

Monthly episode publishing history over the past years.

Year

Latest published episodes

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Dear Analyst #132: How the semantic layer translates your physical data into user-centric business data with Frances O’Rafferty

Episode 132

Tuesday, September 10, 2024 • Duration 35:22

When you think of your data warehouse, the “semantic layer” may not be the first thing that pops in your mind. Prior to reading Frances O’Rafferty‘s blog post on this topic, I didn’t even know this was a concept that mattered in the data stack. To be honest, the concept is still a bit confusing […]

The post Dear Analyst #132: How the semantic layer translates your physical data into user-centric business data with Frances O’Rafferty appeared first on .

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Dear Analyst #131: Key insights and best practices from writing SQL for 15+ years with Ergest Xheblati

Episode 131

Monday, August 5, 2024 • Duration 47:42

If you could only learn one programming language for the rest of your career, what would be it be? You could Google the most popular programming languages and just pick the one of the top 3 and off you go (FYI they are Python, C++, and C). Or, you could pick measly #10 and build […]

The post Dear Analyst #131: Key insights and best practices from writing SQL for 15+ years with Ergest Xheblati appeared first on .

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Dear Analyst #130: What happens when we rely too much on Excel spreadsheets and shadow IT takes over?

Episode 130

Monday, June 24, 2024 • Duration 45:18

This is a replay of an episode from the Make Sense podcast with Lindsay Tabas.In the 1990s, large enterprises typically bought software in a tops-down approach. IT teams would get get Oracle software or Microsoft Office and get their entire organization to use the software. Since these tools are the default IT “blessed” tools, people start putting […]

The post Dear Analyst #130: What happens when we rely too much on Excel spreadsheets and shadow IT takes over? appeared first on .

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Dear Analyst #129: How to scale self-serve analytics tools to thousands of users at Datadog with Jean-Mathieu Saponaro

Episode 121

Tuesday, June 18, 2024 • Duration 31:58

When you’re organization is small, a centralized data team can take care of all the internal data tooling, reporting, and requests for all departments. As the team grows from 100 to thousands of people, a centralized data team simply cannot handle the number of requests and doesn’t have the domain knowledge of all the departments. […]

The post Dear Analyst #129: How to scale self-serve analytics tools to thousands of users at Datadog with Jean-Mathieu Saponaro appeared first on .

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Dear Analyst #128: What is citizen development and how to build solutions with spreadsheets?

Episode 115

Tuesday, May 28, 2024 • Duration

This is a replay of an episode from the Citizen Development Live podcast with Neil Miller.Citizen development is a relatively new term I learned about a year ago or so. To me, it’s using no-code tools at scale within a large enterprise. It’s a term that covers the population of people who are not developers, […]

The post Dear Analyst #128: What is citizen development and how to build solutions with spreadsheets? appeared first on .

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Dear Analyst #127: Spreadsheets vs. Jira: Which one is better for your team?

Episode 127

Monday, May 13, 2024 • Duration 36:58

I wasn’t sure if this topic should be it’s own episode but it’s been on my mind ever since I came back from Atlassian Team ’24 (Atlassian’s annual conference). At the conference, I had the opportunity to meet with a few people who are just as interested in spreadsheets as I am. We talked specifically […]

The post Dear Analyst #127: Spreadsheets vs. Jira: Which one is better for your team? appeared first on .

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Dear Analyst #126: How to data storytelling and create amazing data visualizations with Amanda Makulec

Episode 125

Monday, April 15, 2024 • Duration 44:36

With an undergraduate degree in zoology and a master’s in public health, you wouldn’t expect Amanda Makulec to lead a successful career in data analytics and data visualization. As we’ve seen with multiple guests on the podcast, the path to a career in data analytics is windy and unexpected. It was the intersection of public […]

The post Dear Analyst #126: How to data storytelling and create amazing data visualizations with Amanda Makulec appeared first on .

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Dear Analyst #125: How to identify Taylor Swift’s most underrated songs using data with Andrew Firriolo

Episode 125

Monday, March 25, 2024 • Duration 37:06

Sometimes pop culture and data analysis meet and the result is something interesting, thought-provoking, and of course controversial. How can one use data to prove definitely which Taylor Swift songs are the most underrated? Isn’t this a question for your heart to answer? Andrew Firriolo sought to answer this question over the last few months […]

The post Dear Analyst #125: How to identify Taylor Swift’s most underrated songs using data with Andrew Firriolo appeared first on .

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Dear Analyst #124: Navigating people, politics and analytics solutions at large companies with Alex Kolokolov

Episode 124

Monday, February 5, 2024 • Duration 38:24

We sometimes forget that a large organization is composed of groups and divisions. Within these groups, there are teams and individuals looking to advance their careers. Sometimes at the expense of others. When your advancement depends on the success of your project, the benefits of that project to your company may be suspect and the […]

The post Dear Analyst #124: Navigating people, politics and analytics solutions at large companies with Alex Kolokolov appeared first on .

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Dear Analyst #123: Telling data stories about rugby and the NBA with Ben Wylie

Episode 123

Monday, January 15, 2024 • Duration 37:25

When you think of data journalism, you might think of The New York Times’ nifty data visualizations and the Times’ embrace of data literacy for all their journalists. Outside of The New York Times, I haven’t met anyone who does data journalism and data storytelling full-time until I spoke with Ben Wylie. Ben is the […]

The post Dear Analyst #123: Telling data stories about rugby and the NBA with Ben Wylie appeared first on .

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Dear Analyst – Details, episodes & analysis

Podcast details

Recent rankings

Apple Podcasts

Spotify

Shared links between episodes and podcasts

RSS feed quality and score

Publication history

Latest published episodes

Related Shows Based on Content Similarities

Related Shows Based on Content Similarities

Apple Podcasts

Spotify

Dear Analyst – Details, episodes & analysis

Podcast details

Recent rankings

Apple Podcasts

Spotify

Shared links between episodes and podcasts

Other11

RSS feed quality and score

Publication history

Latest published episodes

Similar podcasts and content

Related Shows Based on Content Similarities

Related Shows Based on Content Similarities

Other11

Apple Podcasts

Spotify