Skillenai

Data-driven analysis jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-30, Data-driven analysis appears in 111 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning Data-driven analysis.

Last updated · 90d ending 2026-10-30

Postings · last 90 days
111
Top role · 21.6% of skill postings
Product Manager
Top hiring metro
London

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Frequently asked questions about Data-driven analysis

+Is Data-driven analysis in demand in 2026?

Yes. Data-driven analysis appears in 111 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Product Manager accounts for the most postings mentioning Data-driven analysis (21.6% of all postings mentioning Data-driven analysis).

+What jobs require Data-driven analysis?

According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning Data-driven analysis are AI Engagement Manager (9.5% of that role’s postings mention Data-driven analysis), Finance Manager (4.8% of that role’s postings mention Data-driven analysis), AI Manager (4.3% of that role’s postings mention Data-driven analysis).

+What skills are commonly paired with Data-driven analysis?

Across job postings indexed by Skillenai (90 days ending 2026-10-30), Data-driven analysis most often appears alongside program management, SQL, product strategy, competitive analysis, automation.

+Where is Data-driven analysis most in demand?

As of 2026-10-30, the metro areas posting the most jobs requiring Data-driven analysis are London, Denver, Dublin, New York City, San Francisco, according to the Skillenai jobs index.

+How can I keep up with new Data-driven analysis content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning Data-driven analysis alongside the jobs index. You can subscribe to a daily email digest of new Data-driven analysis content from your Skillenai account.

+Which skills come before and after Data-driven analysis?

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 analysis — last 90 days

Career paths around Data-driven analysis

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Data-driven analysis

Before Data-driven analysisDisaster Recovery playbooks → Data-driven analysis: 1 observed employer moves with this skill pairpython → Data-driven analysis: 1 observed employer moves with this skill pairQuality Assurance → Data-driven analysis: 1 observed employer moves with this skill pairsecurity and quality audits → Data-driven analysis: 1 observed employer moves with this skill pairSmart POS → Data-driven analysis: 1 observed employer moves with this skill pairmachine learning libraries → Data-driven analysis: 1 observed employer moves with this skill pairoperational security → Data-driven analysis: 1 observed employer moves with this skill pairDeep Learning Techniques → Data-driven analysis: 1 observed employer moves with this skill pairData-drivenanalysisDisaster Recovery playbooks: 1 movesDisaster Recoveryplaybooks1 movespython: 1 movespython1 movesQuality Assurance: 1 movesQuality Assurance1 movessecurity and quality audits: 1 movessecurity andquality audits1 movesSmart POS: 1 movesSmart POS1 movesmachine learning libraries: 1 movesmachine learninglibraries1 movesoperational security: 1 movesoperationalsecurity1 movesDeep Learning Techniques: 1 movesDeep LearningTechniques1 moves

Skills after Data-driven analysis

After Data-driven analysisData-driven analysis → churning customers: 1 observed employer moves with this skill pairData-driven analysis → REST best practices: 1 observed employer moves with this skill pairData-driven analysis → Adobe XD: 1 observed employer moves with this skill pairData-driven analysis → recurring payments: 1 observed employer moves with this skill pairData-driven analysis → data security and compliance protocols: 1 observed employer moves with this skill pairData-driven analysis → InVision: 1 observed employer moves with this skill pairData-driven analysis → GerM: 1 observed employer moves with this skill pairData-driven analysis → winback: 1 observed employer moves with this skill pairData-drivenanalysischurning customers: 1 moveschurning customers1 movesREST best practices: 1 movesREST bestpractices1 movesAdobe XD: 1 movesAdobe XD1 movesrecurring payments: 1 movesrecurring payments1 movesdata security and compliance protocols: 1 movesdata security andcomplianceprotocols1 movesInVision: 1 movesInVision1 movesGerM: 1 movesGerM1 moveswinback: 1 moveswinback1 moves
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.

Observed connections and move counts
ConnectionMoves
Before: Disaster Recovery playbooks1
Before: python1
Before: Quality Assurance1
Before: security and quality audits1
Before: Smart POS1
Before: machine learning libraries1
Before: operational security1
Before: Deep Learning Techniques1
After: churning customers1
After: REST best practices1
After: Adobe XD1
After: recurring payments1
After: data security and compliance protocols1
After: InVision1
After: GerM1
After: winback1

Roles most likely to require Data-driven analysis

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
AI Engagement Manager29.5%
Finance Manager14.8%
AI Manager14.3%
Design Program Manager14.3%
AI Analyst13.1%
Data Analytics Lead13.0%
AI Product Owner12.8%
Quantitative Trader12.0%
Engagement Manager11.6%
Digital Product Manager21.6%

Roles with the most Data-driven analysis postings

RolePostings mentioning skillShare of skill postings
Product Manager2421.6%
Program Manager98.1%
Technical Program Manager98.1%
Business Analyst43.6%
Product Owner32.7%
Systems Engineer32.7%
AI Engagement Manager21.8%
Data Analyst21.8%
Data Scientist21.8%
Digital Product Manager21.8%

Top companies posting jobs requiring Data-driven analysis

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring Data-driven analysis
CompanyPostings · 90 days
Barclays13
Google4
Artefact3
LinkedIn3
EliseAI2
Aerospace2
TikTok2
Elsevier2
Pure Storage2
Visa2

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 analysis

NamePostingsShare
London76.3%
Denver32.7%
Dublin32.7%
New York City32.7%
San Francisco32.7%
Bengaluru21.8%
Foster City21.8%
Georgetown21.8%
Melbourne21.8%

Skills commonly paired with Data-driven analysis

program management (18)SQL (14)product strategy (13)competitive analysis (13)automation (12)Risk Management (12)Python (11)pricing models (11)market strategy (11)analytics (11)

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 2026-10-30. 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 analysis 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 analysis postings by all Data-driven analysis 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
dba8ce09fc53eb76
data_as_of
2026-10-30
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index