Skillenai

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

As of 2026-10-30, Data cleansing appears in 539 job postings indexed by Skillenai over the past 90 days — Data Analyst has the most postings mentioning Data cleansing, with demand share up 1.4% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-30

Postings · last 90 days
539
Demand vs prior month
up 1.4% vs the prior 4 weeks
Top role · 16.3% of skill postings
Data Analyst
Top hiring metro
New York City

Which roles want Data cleansing?

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Frequently asked questions about Data cleansing

+Is Data cleansing in demand in 2026?

Yes. Data cleansing appears in 539 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Data Analyst accounts for the most postings mentioning Data cleansing (16.3% of all postings mentioning Data cleansing).

+What jobs require Data cleansing?

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 cleansing are Master Data Analyst (21.7% of that role’s postings mention Data cleansing), Sales Operations Analyst (15.4% of that role’s postings mention Data cleansing), Credit Risk Analyst (10.0% of that role’s postings mention Data cleansing).

+What skills are commonly paired with Data cleansing?

Across job postings indexed by Skillenai (90 days ending 2026-10-30), Data cleansing most often appears alongside SQL, Python, data validation, data governance, data modeling.

+Where is Data cleansing most in demand?

As of 2026-10-30, the metro areas posting the most jobs requiring Data cleansing are New York City, Singapore, Bengaluru, Hyderabad, Chicago, according to the Skillenai jobs index.

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

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

+Which skills come before and after Data cleansing?

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 cleansing — last 90 days

Salary distribution

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

Career paths around Data cleansing

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Data cleansing

Before Data cleansingpython → Data cleansing: 19 observed employer moves with this skill pairsql → Data cleansing: 18 observed employer moves with this skill pairTableau → Data cleansing: 17 observed employer moves with this skill pairPower BI → Data cleansing: 12 observed employer moves with this skill pairSQL Server → Data cleansing: 9 observed employer moves with this skill pairExcel → Data cleansing: 8 observed employer moves with this skill pairdata analysis → Data cleansing: 8 observed employer moves with this skill pairsnowflake → Data cleansing: 8 observed employer moves with this skill pairDatacleansingpython: 19 movespython19 movessql: 18 movessql18 movesTableau: 17 movesTableau17 movesPower BI: 12 movesPower BI12 movesSQL Server: 9 movesSQL Server9 movesExcel: 8 movesExcel8 movesdata analysis: 8 movesdata analysis8 movessnowflake: 8 movessnowflake8 moves

Skills after Data cleansing

After Data cleansingData cleansing → sql: 17 observed employer moves with this skill pairData cleansing → python: 17 observed employer moves with this skill pairData cleansing → Tableau: 15 observed employer moves with this skill pairData cleansing → ETL: 11 observed employer moves with this skill pairData cleansing → R: 10 observed employer moves with this skill pairData cleansing → SSIS: 8 observed employer moves with this skill pairData cleansing → Power BI: 8 observed employer moves with this skill pairData cleansing → stored procedures: 8 observed employer moves with this skill pairDatacleansingsql: 17 movessql17 movespython: 17 movespython17 movesTableau: 15 movesTableau15 movesETL: 11 movesETL11 movesR: 10 movesR10 movesSSIS: 8 movesSSIS8 movesPower BI: 8 movesPower BI8 movesstored procedures: 8 movesstored procedures8 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: python19
Before: sql18
Before: Tableau17
Before: Power BI12
Before: SQL Server9
Before: Excel8
Before: data analysis8
Before: snowflake8
After: sql17
After: python17
After: Tableau15
After: ETL11
After: R10
After: SSIS8
After: Power BI8
After: stored procedures8

Roles most likely to require Data cleansing

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

RolePostings mentioning skill% of role postings mentioning skill
Master Data Analyst521.7%
Sales Operations Analyst1015.4%
Credit Risk Analyst210.0%
Business Intelligence Specialist38.8%
Senior Data Engineer26.9%
AI Intern26.1%
Data Analyst Intern35.3%
ETL Developer35.0%
Analytics Associate15.0%
SAP Business Analyst14.8%

Roles with the most Data cleansing postings

RolePostings mentioning skillShare of skill postings
Data Analyst8816.3%
Data Engineer8716.1%
Data Scientist5610.4%
Business Analyst234.3%
Software Engineer122.2%
Business Intelligence Analyst101.9%
Sales Operations Analyst101.9%
Data Architect91.7%
Database Administrator61.1%
Product Manager61.1%

Top companies posting jobs requiring Data cleansing

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

Top companies posting jobs requiring Data cleansing
CompanyPostings · 90 days
Bah15
Travelers11
Xometry9
Barclays8
Spgi7
Roche7
CACI6
Mastercard6
PwC6
DXC Technology6

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 cleansing

NamePostingsShare
New York City142.6%
Singapore122.2%
Bengaluru112.0%
Hyderabad112.0%
Chicago81.5%
London81.5%
Washington81.5%
Arlington71.3%
Atlanta71.3%

Skills commonly paired with Data cleansing

SQL (295)Python (248)data validation (188)data governance (138)data modeling (136)ETL (134)Power BI (127)data visualization (121)Data transformation (114)Tableau (98)

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 cleansing by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Data cleansing postings by all Data cleansing 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 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (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
165f13e2faa28ad1
data_as_of
2026-10-30
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index