Skillenai

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

As of 2026-11-04, data analytics appears in 3,242 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning data analytics, with demand share down 2.3% vs the prior 4 weeks.

Last updated · 90d ending 2026-11-04

Postings · last 90 days
3,242
Demand vs prior month
down 2.3% vs the prior 4 weeks
Top role · 11.4% of skill postings
Product Manager
Top hiring metro
New York City

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Frequently asked questions about data analytics

+Is data analytics in demand in 2026?

Yes. data analytics appears in 3,242 job postings indexed by Skillenai over the 90 days ending 2026-11-04. Product Manager accounts for the most postings mentioning data analytics (11.4% of all postings mentioning data analytics).

+What jobs require data analytics?

According to the Skillenai jobs index over the 90 days ending 2026-11-04, among roles with at least 20 postings, the highest shares mentioning data analytics are Internal Auditor (65.6% of that role’s postings mention data analytics), Adjunct Faculty (52.5% of that role’s postings mention data analytics), Lecturer (44.8% of that role’s postings mention data analytics).

+What skills are commonly paired with data analytics?

Across job postings indexed by Skillenai (90 days ending 2026-11-04), data analytics most often appears alongside SQL, Python, data visualization, machine learning, Power BI.

+Where is data analytics most in demand?

As of 2026-11-04, the metro areas posting the most jobs requiring data analytics are New York City, Singapore, London, Toronto, Bengaluru, according to the Skillenai jobs index.

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

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

+Which skills come before and after data analytics?

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 analytics — last 90 days

Salary distribution

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

Career paths around data analytics

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before data analytics

Before data analyticspython → data analytics: 18 observed employer moves with this skill pairdata analysis → data analytics: 16 observed employer moves with this skill pairsql → data analytics: 12 observed employer moves with this skill pairExcel → data analytics: 12 observed employer moves with this skill pairTableau → data analytics: 10 observed employer moves with this skill pairPower BI → data analytics: 8 observed employer moves with this skill pairproject management → data analytics: 6 observed employer moves with this skill pairrequirements gathering → data analytics: 5 observed employer moves with this skill pairdataanalyticspython: 18 movespython18 movesdata analysis: 16 movesdata analysis16 movessql: 12 movessql12 movesExcel: 12 movesExcel12 movesTableau: 10 movesTableau10 movesPower BI: 8 movesPower BI8 movesproject management: 6 movesproject management6 movesrequirements gathering: 5 movesrequirementsgathering5 moves

Skills after data analytics

After data analyticsdata analytics → sql: 18 observed employer moves with this skill pairdata analytics → python: 17 observed employer moves with this skill pairdata analytics → Tableau: 11 observed employer moves with this skill pairdata analytics → Excel: 9 observed employer moves with this skill pairdata analytics → Agile: 8 observed employer moves with this skill pairdata analytics → Power BI: 8 observed employer moves with this skill pairdata analytics → ETL: 7 observed employer moves with this skill pairdata analytics → data analysis: 6 observed employer moves with this skill pairdataanalyticssql: 18 movessql18 movespython: 17 movespython17 movesTableau: 11 movesTableau11 movesExcel: 9 movesExcel9 movesAgile: 8 movesAgile8 movesPower BI: 8 movesPower BI8 movesETL: 7 movesETL7 movesdata analysis: 6 movesdata analysis6 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: python18
Before: data analysis16
Before: sql12
Before: Excel12
Before: Tableau10
Before: Power BI8
Before: project management6
Before: requirements gathering5
After: sql18
After: python17
After: Tableau11
After: Excel9
After: Agile8
After: Power BI8
After: ETL7
After: data analysis6

Roles most likely to require data analytics

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

RolePostings mentioning skill% of role postings mentioning skill
Internal Auditor2165.6%
Adjunct Faculty2152.5%
Lecturer1344.8%
Solution Engineering Manager626.1%
Product Operations Manager724.1%
Data Analyst Intern1223.5%
Commercial Analytics Manager520.8%
Data Analytics Intern1020.4%
Business Intelligence Director620.0%
Data Analytics Manager2519.1%

Roles with the most data analytics postings

RolePostings mentioning skillShare of skill postings
Product Manager36911.4%
Data Analyst2006.2%
Data Scientist1404.3%
Program Manager1193.7%
Business Analyst1183.6%
Software Engineer822.5%
Data Engineer401.2%
Technical Program Manager381.2%
Analytics Manager371.1%
Product Owner351.1%

Top companies posting jobs requiring data analytics

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

Top companies posting jobs requiring data analytics
CompanyPostings · 90 days
JPMorgan Chase & Co.49
Capital One46
Visa35
Snowflake35
NVIDIA32
JJ31
Micron27
Sggovterp26
Bosch26
Northrop Grumman25

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 analytics

NamePostingsShare
New York City1304.0%
Singapore852.6%
London722.2%
Toronto501.5%
Bengaluru481.5%
Chicago481.5%
Boston371.1%
San Francisco361.1%
Atlanta341.0%

Skills commonly paired with data analytics

SQL (1,072)Python (996)data visualization (571)machine learning (562)Power BI (494)Tableau (464)automation (332)dashboards (316)Excel (289)data governance (275)

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 2026-11-04. 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 analytics by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data analytics postings by all data analytics 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: 1.4% to 1.4%. 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 2,472 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
bca557849b50a465
data_as_of
2026-11-04
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index