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

As of 2026-11-07, Tableau appears in 8,788 job postings indexed by Skillenai over the past 90 days — Data Analyst has the most postings mentioning Tableau, with demand share up 1.4% vs the prior 4 weeks.

Last updated · 90d ending 2026-11-07

Postings · last 90 days
8,788
Demand vs prior month
up 1.4% vs the prior 4 weeks
Top role · 13.9% of skill postings
Top hiring metro
New York City

Which roles want Tableau?

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

Frequently asked questions about Tableau

+Is Tableau in demand in 2026?

Yes. Tableau appears in 8,788 job postings indexed by Skillenai over the 90 days ending 2026-11-07. Data Analyst accounts for the most postings mentioning Tableau (13.9% of all postings mentioning Tableau).

+What jobs require Tableau?

According to the Skillenai jobs index over the 90 days ending 2026-11-07, among roles with at least 20 postings, the highest shares mentioning Tableau are Demand Planner (64.3% of that role’s postings mention Tableau), Business Operations Analyst (59.6% of that role’s postings mention Tableau), Analytics Developer (59.1% of that role’s postings mention Tableau).

+What skills are commonly paired with Tableau?

Across job postings indexed by Skillenai (90 days ending 2026-11-07), Tableau most often appears alongside SQL, Python, Power BI, data visualization, Looker.

+Where is Tableau most in demand?

As of 2026-11-07, the metro areas posting the most jobs requiring Tableau are New York City, Bengaluru, San Francisco, Toronto, London, according to the Skillenai jobs index.

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

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

+Which skills come before and after Tableau?

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 Tableau — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around Tableau

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Tableau

Before Tableaupython → Tableau: 524 observed employer moves with this skill pairsql → Tableau: 514 observed employer moves with this skill pairPower BI → Tableau: 326 observed employer moves with this skill pairExcel → Tableau: 309 observed employer moves with this skill pairETL → Tableau: 136 observed employer moves with this skill pairR → Tableau: 119 observed employer moves with this skill pairsnowflake → Tableau: 100 observed employer moves with this skill pairSQL Server → Tableau: 92 observed employer moves with this skill pairTableaupython: 524 movespython524 movessql: 514 movessql514 movesPower BI: 326 movesPower BI326 movesExcel: 309 movesExcel309 movesETL: 136 movesETL136 movesR: 119 movesR119 movessnowflake: 100 movessnowflake100 movesSQL Server: 92 movesSQL Server92 moves

Skills after Tableau

After TableauTableau → python: 401 observed employer moves with this skill pairTableau → Power BI: 344 observed employer moves with this skill pairTableau → sql: 341 observed employer moves with this skill pairTableau → snowflake: 179 observed employer moves with this skill pairTableau → ETL: 177 observed employer moves with this skill pairTableau → Excel: 150 observed employer moves with this skill pairTableau → AWS: 135 observed employer moves with this skill pairTableau → PySpark: 129 observed employer moves with this skill pairTableaupython: 401 movespython401 movesPower BI: 344 movesPower BI344 movessql: 341 movessql341 movessnowflake: 179 movessnowflake179 movesETL: 177 movesETL177 movesExcel: 150 movesExcel150 movesAWS: 135 movesAWS135 movesPySpark: 129 movesPySpark129 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: python524
Before: sql514
Before: Power BI326
Before: Excel309
Before: ETL136
Before: R119
Before: snowflake100
Before: SQL Server92
After: python401
After: Power BI344
After: sql341
After: snowflake179
After: ETL177
After: Excel150
After: AWS135
After: PySpark129

Roles most likely to require Tableau

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

RolePostings mentioning skill% of role postings mentioning skill
Demand Planner1864.3%
Business Operations Analyst2859.6%
Analytics Developer1359.1%
BI Analyst1952.8%
Sales Operations Analyst3552.2%
Business Intelligence Engineer4651.1%
Marketing Analyst5051.0%
Marketing Data Analyst3350.8%
Commercial Analytics Manager1250.0%
Decision Scientist1848.6%

Roles with the most Tableau postings

RolePostings mentioning skillShare of skill postings
Data Analyst1,21913.9%
Data Scientist6207.1%
Business Analyst4234.8%
Data Engineer3724.2%
Analytics Engineer2002.3%
Business Intelligence Analyst1671.9%
Product Manager1661.9%
Program Manager1391.6%
Software Engineer1341.5%
Analytics Manager1081.2%

Top companies posting jobs requiring Tableau

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

Top companies posting jobs requiring Tableau
CompanyPostings · 90 days
Mastercard85
Delivery Hero77
Anduril Industries74
WPP71
Twilio64
Cisco64
Accenture64
Bah57
Amazon56
Coupanginternal50

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 Tableau

NamePostingsShare
New York City3413.9%
Bengaluru1651.9%
San Francisco1611.8%
Toronto1421.6%
London1121.3%
Chicago1051.2%
Singapore971.1%
Hyderabad961.1%
Boston790.9%

Skills commonly paired with Tableau

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 2026-11-07. 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 Tableau by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Tableau postings by all Tableau 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: 3.4% to 3.5%. 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 2,471 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-07-07 to 2026-10-05 and 2026-08-04 to 2026-11-02 (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
c061a3862bbad0d9
data_as_of
2026-11-07
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index