data visualisation jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-11-05, data visualisation appears in 211 job postings indexed by Skillenai over the past 90 days — Data Analyst has the most postings mentioning data visualisation.

Last updated · 90d ending 2026-11-05

Postings · last 90 days
211
Top role · 19.9% of skill postings
Top hiring metro
London

Which roles want data visualisation?

Upload your resume and Skillenai will show which roles your data visualisation experience fits, which skills you already cover, and what is missing.

Frequently asked questions about data visualisation

+Is data visualisation in demand in 2026?

Yes. data visualisation appears in 211 job postings indexed by Skillenai over the 90 days ending 2026-11-05. Data Analyst accounts for the most postings mentioning data visualisation (19.9% of all postings mentioning data visualisation).

+What jobs require data visualisation?

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 data visualisation are Credit Risk Manager (12.0% of that role’s postings mention data visualisation), People Analytics Manager (4.5% of that role’s postings mention data visualisation), Principal Consultant (4.5% of that role’s postings mention data visualisation).

+What skills are commonly paired with data visualisation?

Across job postings indexed by Skillenai (90 days ending 2026-11-05), data visualisation most often appears alongside SQL, Python, Power BI, Tableau, Machine Learning.

+Where is data visualisation most in demand?

As of 2026-11-05, the metro areas posting the most jobs requiring data visualisation are London, Singapore, Sydney, Madrid, Barcelona, according to the Skillenai jobs index.

+How can I keep up with new data visualisation content and jobs?

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

+Which skills come before and after data visualisation?

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 visualisation — last 90 days

Career paths around data visualisation

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before data visualisation

Before data visualisationNLP → data visualisation: 1 observed employer moves with this skill pairML research → data visualisation: 1 observed employer moves with this skill pairproject management → data visualisation: 1 observed employer moves with this skill pairforecasting → data visualisation: 1 observed employer moves with this skill pairMarket Research → data visualisation: 1 observed employer moves with this skill pairsolution delivery → data visualisation: 1 observed employer moves with this skill pairdatavisualisationNLP: 1 movesNLP1 movesML research: 1 movesML research1 movesproject management: 1 movesproject management1 movesforecasting: 1 movesforecasting1 movesMarket Research: 1 movesMarket Research1 movessolution delivery: 1 movessolution delivery1 moves

Skills after data visualisation

After data visualisationdata visualisation → photoshop: 1 observed employer moves with this skill pairdata visualisation → Illustrator: 1 observed employer moves with this skill pairdatavisualisationphotoshop: 1 movesphotoshop1 movesIllustrator: 1 movesIllustrator1 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: NLP1
Before: ML research1
Before: project management1
Before: forecasting1
Before: Market Research1
Before: solution delivery1
After: photoshop1
After: Illustrator1

Roles most likely to require data visualisation

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

RolePostings mentioning skill% of role postings mentioning skill
Credit Risk Manager312.0%
People Analytics Manager14.5%
Principal Consultant14.5%
Analytics Engineering Manager13.6%
Business Intelligence Director13.3%
Data Analytics Consultant13.3%
AI Research Intern13.1%
Data Platform Architect13.0%
Brand Designer12.8%
BI Analyst12.7%

Roles with the most data visualisation postings

RolePostings mentioning skillShare of skill postings
Data Analyst4219.9%
Data Scientist2110.0%
Data Engineer115.2%
Software Engineer115.2%
Analytics Manager83.8%
Business Intelligence Analyst73.3%
Business Analyst62.8%
Product Manager62.8%
Analytics Engineer41.9%
Engineering Manager41.9%

Top companies posting jobs requiring data visualisation

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

Top companies posting jobs requiring data visualisation
CompanyPostings · 90 days
Wise13
Monzo9
Novartis4
WPP4
Turner & Townsend4
PwC3
Baringa3
Wibmo3
Barclays3
N8n3

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 visualisation

NamePostingsShare
London3818.0%
Singapore73.3%
Sydney73.3%
Madrid62.8%
Barcelona52.4%
Kuala Lumpur52.4%
Bengaluru41.9%
Johannesburg31.4%
Gloucester20.9%

Skills commonly paired with data visualisation

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 data visualisation by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data visualisation postings by all data visualisation 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
8a49b5ff0557a626
data_as_of
2026-11-05
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index