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r/analytics↗

Analytics

Dedicated to web analytics, data and business analytics. We're here to discuss analysis of data, learning of skills and implementation of web analytics.

286k subscribers348 posts / mo in Sep 2026 (incl. <1% by known bots)307 authors / mosince 2010

r/analytics has 286k members (+21% over the last 12 months). It gets about 348 posts a month from 307 people. Top topics: Data Analytics & Engineering, BI and Data Analytics and Data Science & Statistics Masters.

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When to post on r/analytics

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Size and growth

How r/analytics has grown

r/analytics

Subscriber growth

Subscribers over time

+21%in 12 months · +3.1% in 3 months · +0.6% in 1 month
Oct 2026285k
Growing285k subscribers
Data since Mar 2018Live · through Oct 2026
r/analytics

Monthly activity

Posts, comments and authors per month

−30%vs Sep 2025 · −34% last 3 months vs the 3 before
Sep 2026348
QuieterPeaked at 820 in Mar 2026
Sep 2026: incl. <1% by known botsData through Sep 2026 · October usually lands mid-November

What people talk about

Topics and brands on r/analytics

Top topics

Share of the subreddit's posts

  1. Data Analytics & Engineering3.5%
  2. BI and Data Analytics3.4%
  3. Data Science & Statistics Masters2.4%
  4. Power BI Dashboards & Data1.3%
  5. Google Ads & AdMob0.6%

Brands people mention

Most-mentioned brands and sites, last 12 months

  1. Wolfram
  2. Claude Code Docs
  3. Hiring.cafe
  4. cube
  5. Kaggle

The full report

Everything else about r/analytics

Posting rules and account requirements, how often posts get removed, who writes here (age, gender, countries), what people ask for, how they talk, and related subreddits — all in the full report.

Posts and activity for Sep 2026. Members from Reddit's subscriber counts. Read from the same data the app runs on. Our research