data-driven decision-making jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-14, data-driven decision-making appears in 406 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning data-driven decision-making, with demand share up 5.2% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-14
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Frequently asked questions about data-driven decision-making
+Is data-driven decision-making in demand in 2026?
Yes. data-driven decision-making appears in 406 job postings indexed by Skillenai over the 90 days ending 2026-10-14. Product Manager accounts for the most postings mentioning data-driven decision-making (37.2% of all postings mentioning data-driven decision-making).
+What jobs require data-driven decision-making?
According to the Skillenai jobs index over the 90 days ending 2026-10-14, among roles with at least 20 postings, the highest shares mentioning data-driven decision-making are Digital Product Owner (11.1% of that role’s postings mention data-driven decision-making), Software Product Manager (6.1% of that role’s postings mention data-driven decision-making), Business Analytics Manager (5.2% of that role’s postings mention data-driven decision-making).
+What skills are commonly paired with data-driven decision-making?
Across job postings indexed by Skillenai (90 days ending 2026-10-14), data-driven decision-making most often appears alongside Product Management, product strategy, Product roadmap, experimentation, Agile.
+Where is data-driven decision-making most in demand?
As of 2026-10-14, the metro areas posting the most jobs requiring data-driven decision-making are New York City, London, San Jose, Alexandria, Berlin, according to the Skillenai jobs index.
+How can I keep up with new data-driven decision-making content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data-driven decision-making alongside the jobs index. You can subscribe to a daily email digest of new data-driven decision-making content from your Skillenai account.
+Which skills come before and after data-driven decision-making?
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 data-driven decision-making — last 90 days
Career paths around data-driven decision-making
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before data-driven decision-making
Skills after data-driven decision-making
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 | 6 |
| Before: data pipelines | 5 |
| Before: Power BI | 4 |
| Before: sql | 4 |
| Before: dashboards | 4 |
| Before: data models | 3 |
| Before: R | 3 |
| Before: accessibility | 2 |
| After: python | 7 |
| After: Power BI | 3 |
| After: data analysis | 3 |
| After: Neural network | 2 |
| After: Decision Trees | 2 |
| After: predictive models | 2 |
| After: numpy | 2 |
| After: Kafka | 2 |
Roles most likely to require data-driven decision-making
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Digital Product Owner | 3 | 11.1% |
| Software Product Manager | 2 | 6.1% |
| Business Analytics Manager | 3 | 5.2% |
| Advanced Analytics Lead | 1 | 5.0% |
| Inbound Product Manager | 1 | 4.5% |
| Research Program Manager | 1 | 3.8% |
| Product Operations Manager | 1 | 3.7% |
| Commercial Product Manager | 1 | 3.6% |
| Adjunct Faculty | 1 | 3.3% |
| Senior Data Scientist | 1 | 3.3% |
Roles with the most data-driven decision-making postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 151 | 37.2% |
| Technical Program Manager | 18 | 4.4% |
| Program Manager | 15 | 3.7% |
| Data Scientist | 14 | 3.4% |
| Business Analyst | 12 | 3.0% |
| Product Owner | 12 | 3.0% |
| Data Analyst | 6 | 1.5% |
| Principal Product Manager | 6 | 1.5% |
| Technical Product Manager | 6 | 1.5% |
| Head of Engineering | 5 | 1.2% |
Top companies posting jobs requiring data-driven decision-making
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Simility, a Paypal Service | 12 |
| ProSidian Consulting | 9 |
| Mastercard | 7 |
| Barclays | 6 |
| Elsevier | 6 |
| Tekion | 6 |
| Globalpr | 5 |
| Betsson Group | 5 |
| Bosch | 5 |
| eBay | 4 |
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 data-driven decision-making
| Name | Postings | Share |
|---|---|---|
| New York City | 18 | 4.4% |
| London | 13 | 3.2% |
| San Jose | 10 | 2.5% |
| Alexandria | 9 | 2.2% |
| Berlin | 9 | 2.2% |
| Austin | 8 | 2.0% |
| San Francisco | 8 | 2.0% |
| Toronto | 8 | 2.0% |
| Barcelona | 7 | 1.7% |
Skills commonly paired with data-driven decision-making
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-14. 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 data-driven decision-making by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data-driven decision-making postings by all data-driven decision-making 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). Adjusted posting share: 0.2% to 0.2%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,614 identified employers and covers 71% of earlier and 72% of latest indexed postings. Windows: 2026-06-16 to 2026-09-14 and 2026-07-14 to 2026-10-12 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- ed85f17bd76aa769
- data_as_of
- 2026-10-14
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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