
A show made for analysts: data, data analysis, and software.
| Publishes | Monthly | Episodes | 17 | Founded | 7 years ago |
|---|---|---|---|---|---|
| Categories | How ToTech NewsNewsEducation | ||||

Ever wondered if Hollywood’s magic is just smoke and mirrors, or if there’s actually some cold, hard data behind those blockbuster hits? I sat down with Stephen Follows, the film data analyst who’s basically Indiana Jones, but instead of chasing anci... more
There are times when a problem nags at you like a pebble in your shoe. Even when you’re not working on the problem itself, you’re thinking about the problem which make it even worse. Rarely do I come across a Google Sheets/Excel task I cannot solve w... more
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... more
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 co... more
Great to hear new perspectives on how guests think about data problems and solutions differently. Love that addition to the show!
Beyond the technical aspects of being a good analyst, this podcast gives you a bigger picture on why data is important and why it’s the new gold. Highly recommend!
If you use Excel every day, this podcast will challenge your assumptions about Excel and data. I like his review of other podcasts as well.
Key themes from listener reviews, highlighting what works and what could be improved about the show.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #50 |
Recent interactions between the hosts and their guests.
Listeners, social reach, demographics and more for this podcast.
| Gender Skew | |
|---|---|
| Location | |
| Interests | |
| Professions | |
| Age Range | |
| Household Income | |
| Social Media Reach |
Focused on the world of data analysis, this podcast explores various facets of data management, analytics tools, and the impact of technology on business processes. Frequent discussions include significant themes like data democratization, the pros and cons of relying on traditional tools such as Excel, and the evolving landscape of data governance and citizen development. Episodes often feature industry professionals sharing their insights and unique experiences, making complex topics accessible for both seasoned analysts and those new to the field. Noteworthy is the show’s emphasis on blending practical advice with broader trends, making it an engaging resource for anyone keen on understanding the role of data in modern business environme... more
Rephonic provides a wide range of podcast stats for Dear Analyst. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Dear Analyst and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for Dear Analyst, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
Rephonic provides comprehensive predictive audience data for Dear Analyst, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
To see how many followers or subscribers Dear Analyst has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
These podcasts share a similar audience with Dear Analyst:
Dear Analyst launched 7 years ago and published 17 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Rephonic pulls ratings and reviews for Dear Analyst from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
Rephonic provides full transcripts for episodes of Dear Analyst. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.
Recent guests on Dear Analyst include:
1. Al Chen
2. Alex Kolokolov
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.