This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
No comment highlights available yet. Please check back later!
About Data Analyst Toolkit on Product Hunt
“Data Analyst Toolkit”
Data Analyst Toolkit was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #114 on the daily leaderboard. Practical, reusable guidance for data analysis workflows.
Data Analyst Toolkit was featured in Data & Analytics (6k followers), Data Science (4k followers) and Data Visualization (3.7k followers) on Product Hunt. Together, these topics include over 6.8k products, making this a competitive space to launch in.
Who hunted Data Analyst Toolkit?
Data Analyst Toolkit was hunted by Sameer Shaik. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Data Analyst Toolkit stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Hey everyone! 👋
I'm excited to share Data Analyst Toolkit, a collection of reusable agent skills designed to make everyday data analysis workflows easier.
It covers common tasks like:
Data quality assessment and cleaning
Feature engineering
SQL writing and optimisation
BI reporting across Tableau, Power BI, Looker, Qlik, Excel, and Google Sheets.
The idea is simple: spend less time figuring out repetitive workflows and more time focusing on actual analysis.
These skills provide structured guidance and can generate useful report artifacts when supported by the host environment.
I'd love to hear your feedback, especially from people working with data regularly. What would you like to see improved or added?
Thanks for checking it out! 🙌