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

As of 2026-10-30, data sets appears in 72 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning data sets.

Last updated · 90d ending 2026-10-30

Postings · last 90 days
72
Top role · 13.9% of skill postings
Top hiring metro
San Francisco

Which roles want data sets?

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

Frequently asked questions about data sets

+Is data sets in demand in 2026?

Yes. data sets appears in 72 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Data Scientist accounts for the most postings mentioning data sets (13.9% of all postings mentioning data sets).

+What jobs require data sets?

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 sets are AI Analyst (6.2% of that role’s postings mention data sets), Finance Manager (4.8% of that role’s postings mention data sets), Data Science Director (1.6% of that role’s postings mention data sets).

+What skills are commonly paired with data sets?

Across job postings indexed by Skillenai (90 days ending 2026-10-30), data sets most often appears alongside Python, machine learning, Data analysis, SQL, statistics.

+Where is data sets most in demand?

As of 2026-10-30, the metro areas posting the most jobs requiring data sets are San Francisco, Bengaluru, London, New Britain, Richmond, according to the Skillenai jobs index.

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

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

+Which skills come before and after data sets?

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 sets — last 90 days

Career paths around data sets

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before data sets

Before data setssql → data sets: 4 observed employer moves with this skill pairETL → data sets: 2 observed employer moves with this skill pairpython → data sets: 2 observed employer moves with this skill pairPower BI → data sets: 2 observed employer moves with this skill pairreports → data sets: 2 observed employer moves with this skill pairMicrosoft Excel → data sets: 2 observed employer moves with this skill pairlogos → data sets: 1 observed employer moves with this skill pairAdobe Creative Suite → data sets: 1 observed employer moves with this skill pairdata setssql: 4 movessql4 movesETL: 2 movesETL2 movespython: 2 movespython2 movesPower BI: 2 movesPower BI2 movesreports: 2 movesreports2 movesMicrosoft Excel: 2 movesMicrosoft Excel2 moveslogos: 1 moveslogos1 movesAdobe Creative Suite: 1 movesAdobe CreativeSuite1 moves

Skills after data sets

After data setsdata sets → email: 2 observed employer moves with this skill pairdata sets → phone: 2 observed employer moves with this skill pairdata sets → Azure Data Factory: 2 observed employer moves with this skill pairdata sets → in-person: 2 observed employer moves with this skill pairdata sets → Azure: 2 observed employer moves with this skill pairdata sets → oracle: 2 observed employer moves with this skill pairdata sets → Information Technology: 2 observed employer moves with this skill pairdata sets → classroom technology: 2 observed employer moves with this skill pairdata setsemail: 2 movesemail2 movesphone: 2 movesphone2 movesAzure Data Factory: 2 movesAzure Data Factory2 movesin-person: 2 movesin-person2 movesAzure: 2 movesAzure2 movesoracle: 2 movesoracle2 movesInformation Technology: 2 movesInformationTechnology2 movesclassroom technology: 2 movesclassroomtechnology2 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: sql4
Before: ETL2
Before: python2
Before: Power BI2
Before: reports2
Before: Microsoft Excel2
Before: logos1
Before: Adobe Creative Suite1
After: email2
After: phone2
After: Azure Data Factory2
After: in-person2
After: Azure2
After: oracle2
After: Information Technology2
After: classroom technology2

Roles most likely to require data sets

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

RolePostings mentioning skill% of role postings mentioning skill
AI Analyst26.2%
Finance Manager14.8%
Data Science Director11.6%
AI Training Expert11.5%
AI Research Engineer11.4%
Analyst10.6%
Quantitative Researcher10.6%
Principal Product Manager10.5%
Research Engineer30.4%
Business Intelligence Analyst10.2%

Roles with the most data sets postings

RolePostings mentioning skillShare of skill postings
Data Scientist1013.9%
Software Engineer811.1%
Data Engineer34.2%
Program Manager34.2%
Research Engineer34.2%
AI Analyst22.8%
Business Analyst22.8%
Product Manager22.8%
AI Engineer11.4%
AI Research Engineer11.4%

Top companies posting jobs requiring data sets

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

Top companies posting jobs requiring data sets
CompanyPostings · 90 days
Scale AI4
Aaru3
NielsenIQ3
xAI2
Analyticpartners2
Humana2
Dentsuaegis2
Foleon2
ServiceNow2
Carmax2

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 sets

NamePostingsShare
San Francisco45.6%
Bengaluru34.2%
London22.8%
New Britain22.8%
Richmond22.8%
San Jose22.8%
Amsterdam11.4%
Berkeley11.4%
Camp Springs11.4%

Skills commonly paired with data sets

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 sets by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data sets postings by all data sets 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
cc5653bac9770091
data_as_of
2026-10-30
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index