product analytics jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-11-05, product analytics appears in 840 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning product analytics.
Last updated · 90d ending 2026-11-05
Which roles want product analytics?
Upload your resume and Skillenai will show which roles your product analytics experience fits, which skills you already cover, and what is missing.
Frequently asked questions about product analytics
+Is product analytics in demand in 2026?
Yes. product analytics appears in 840 job postings indexed by Skillenai over the 90 days ending 2026-11-05. Product Manager accounts for the most postings mentioning product analytics (49.2% of all postings mentioning product analytics).
+What jobs require product analytics?
According to the Skillenai jobs index over the 90 days ending 2026-11-05, among roles with at least 20 postings, the highest shares mentioning product analytics are Growth Product Manager (33.3% of that role’s postings mention product analytics), Product Analytics Manager (28.1% of that role’s postings mention product analytics), Product Analyst (12.2% of that role’s postings mention product analytics).
+What skills are commonly paired with product analytics?
Across job postings indexed by Skillenai (90 days ending 2026-11-05), product analytics most often appears alongside experimentation, SQL, A/B testing, Product Management, Python.
+Where is product analytics most in demand?
As of 2026-11-05, the metro areas posting the most jobs requiring product analytics are San Francisco, New York City, London, Toronto, Boston, according to the Skillenai jobs index.
+How can I keep up with new product analytics content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning product analytics alongside the jobs index. You can subscribe to a daily email digest of new product analytics content from your Skillenai account.
+Which skills come before and after product analytics?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring product analytics — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around product analytics
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before product analytics
Skills after product analytics
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: python | 3 |
| Before: machine learning | 3 |
| Before: Power BI | 2 |
| Before: Cognos | 1 |
| Before: BI platform | 1 |
| Before: MicroStrategy | 1 |
| Before: ETL | 1 |
| Before: visualizations | 1 |
| After: python | 2 |
| After: ETL | 1 |
| After: a/b testing | 1 |
| After: predictive analytics | 1 |
| After: A-B-A Testing | 1 |
| After: best practices | 1 |
| After: Order tracking | 1 |
| After: Natural Language Processing | 1 |
Roles most likely to require product analytics
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Growth Product Manager | 15 | 33.3% |
| Product Analytics Manager | 9 | 28.1% |
| Product Analyst | 25 | 12.2% |
| Engineering Product Manager | 3 | 8.8% |
| Growth Engineer | 5 | 8.8% |
| Product Data Analyst | 5 | 8.2% |
| Customer Engineer | 8 | 6.2% |
| Product Data Scientist | 2 | 5.4% |
| Commercial Product Manager | 1 | 5.0% |
| Actuarial Analyst | 1 | 4.8% |
Roles with the most product analytics postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 413 | 49.2% |
| Product Designer | 55 | 6.5% |
| Data Scientist | 48 | 5.7% |
| Product Owner | 31 | 3.7% |
| Product Analyst | 25 | 3.0% |
| Data Analyst | 18 | 2.1% |
| Growth Product Manager | 15 | 1.8% |
| Software Engineer | 14 | 1.7% |
| Full-Stack Engineer | 11 | 1.3% |
| Technical Product Manager | 10 | 1.2% |
Top companies posting jobs requiring product analytics
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Mixpanel | 18 |
| Stripe | 14 |
| Cisco | 12 |
| Elsevier | 11 |
| Truelogic | 10 |
| NBCUniversal | 8 |
| GoHighLevel | 8 |
| Autodesk | 6 |
| OpenAI | 6 |
| HouseCall Pro | 6 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for product analytics
| Name | Postings | Share |
|---|---|---|
| San Francisco | 47 | 5.6% |
| New York City | 41 | 4.9% |
| London | 20 | 2.4% |
| Toronto | 17 | 2.0% |
| Boston | 12 | 1.4% |
| Austin | 11 | 1.3% |
| Bengaluru | 10 | 1.2% |
| Berlin | 10 | 1.2% |
| Dublin | 10 | 1.2% |
Skills commonly paired with product analytics
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-11-05. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning product analytics by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s product analytics postings by all product analytics postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- d665e251476f16e8
- data_as_of
- 2026-11-05
- window_days
- 90