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

As of 2026-09-30, data dashboards appears in 224 job postings indexed by Skillenai over the past 90 days — Data Analyst has the most postings mentioning data dashboards, with demand share up 3.8% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
224
Demand vs prior month
up 3.8% vs the prior 4 weeks
Top role · 12.1% of skill postings
Top hiring metro
New York City

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Frequently asked questions about data dashboards

+Is data dashboards in demand in 2026?

Yes. data dashboards appears in 224 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Data Analyst accounts for the most postings mentioning data dashboards (12.1% of all postings mentioning data dashboards).

+What jobs require data dashboards?

According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning data dashboards are Safeguards Enforcement Analyst (22.2% of that role’s postings mention data dashboards), Product Data Scientist (12.7% of that role’s postings mention data dashboards), Growth Manager (10.0% of that role’s postings mention data dashboards).

+What skills are commonly paired with data dashboards?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), data dashboards most often appears alongside SQL, Python, Tableau, data visualization, A/B testing.

+Where is data dashboards most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring data dashboards are New York City, San Francisco, Barcelona, London, Paris, according to the Skillenai jobs index.

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

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

+Which skills come before and after data dashboards?

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 dashboards — last 90 days

Career paths around data dashboards

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before data dashboards

Before data dashboardspython → data dashboards: 3 observed employer moves with this skill pairrecency → data dashboards: 1 observed employer moves with this skill pairAutomated Pipelines → data dashboards: 1 observed employer moves with this skill pairdata entry → data dashboards: 1 observed employer moves with this skill pairSQLServer → data dashboards: 1 observed employer moves with this skill pairautomated log analysis → data dashboards: 1 observed employer moves with this skill pairdimensionality reduction → data dashboards: 1 observed employer moves with this skill pairBackup Data → data dashboards: 1 observed employer moves with this skill pairdatadashboardspython: 3 movespython3 movesrecency: 1 movesrecency1 movesAutomated Pipelines: 1 movesAutomatedPipelines1 movesdata entry: 1 movesdata entry1 movesSQLServer: 1 movesSQLServer1 movesautomated log analysis: 1 movesautomated loganalysis1 movesdimensionality reduction: 1 movesdimensionalityreduction1 movesBackup Data: 1 movesBackup Data1 moves

Skills after data dashboards

After data dashboardsdata dashboards → loops: 1 observed employer moves with this skill pairdata dashboards → regularization: 1 observed employer moves with this skill pairdata dashboards → Quizzes: 1 observed employer moves with this skill pairdata dashboards → variables: 1 observed employer moves with this skill pairdata dashboards → ensemble and meta-ensemble model architectures: 1 observed employer moves with this skill pairdata dashboards → Prod Support: 1 observed employer moves with this skill pairdata dashboards → Logging: 1 observed employer moves with this skill pairdata dashboards → reconciliation processes: 1 observed employer moves with this skill pairdatadashboardsloops: 1 movesloops1 movesregularization: 1 movesregularization1 movesQuizzes: 1 movesQuizzes1 movesvariables: 1 movesvariables1 movesensemble and meta-ensemble model architectures: 1 movesensemble andmeta-ensemblemodel…1 movesProd Support: 1 movesProd Support1 movesLogging: 1 movesLogging1 movesreconciliation processes: 1 movesreconciliationprocesses1 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: python3
Before: recency1
Before: Automated Pipelines1
Before: data entry1
Before: SQLServer1
Before: automated log analysis1
Before: dimensionality reduction1
Before: Backup Data1
After: loops1
After: regularization1
After: Quizzes1
After: variables1
After: ensemble and meta-ensemble model architectures1
After: Prod Support1
After: Logging1
After: reconciliation processes1

Roles most likely to require data dashboards

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

RolePostings mentioning skill% of role postings mentioning skill
Safeguards Enforcement Analyst622.2%
Product Data Scientist812.7%
Growth Manager210.0%
Advanced Analytics Lead28.7%
Autonomy Engineer15.0%
Marketing Operations Manager14.0%
People Analytics Analyst13.7%
Credit Risk Analyst13.6%
AI Engineer Intern13.4%
Business Intelligence Intern13.4%

Roles with the most data dashboards postings

RolePostings mentioning skillShare of skill postings
Data Analyst2712.1%
Product Manager198.5%
Data Scientist146.2%
Product Data Scientist83.6%
Program Manager83.6%
Product Analyst62.7%
Safeguards Enforcement Analyst62.7%
Business Analyst52.2%
Software Engineer52.2%
Business Intelligence Analyst41.8%

Top companies posting jobs requiring data dashboards

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

Top companies posting jobs requiring data dashboards
CompanyPostings · 90 days
Anthropic7
Tripadvisor6
Delivery Hero5
Zyngacareers3
Salesforce3
Platacard3
Oracle3
Reddit3
Celonis2
Ramp2

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 dashboards

NamePostingsShare
New York City156.7%
San Francisco104.5%
Barcelona62.7%
London62.7%
Paris62.7%
Singapore62.7%
Bengaluru52.2%
Gurugram41.8%
San Jose41.8%

Skills commonly paired with data dashboards

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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 dashboards by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data dashboards postings by all data dashboards 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: 0.1% to 0.1%. 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 2,595 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (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
3805bd2e4122980e
data_as_of
2026-09-30
window_days
90
Hiring engineers who use data dashboards?

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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Compiled by Jared Rand · Data sourced from the Skillenai labor market index