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

As of 2026-09-30, predictive analytics appears in 885 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning predictive analytics, with demand share up 7.2% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
885
Demand vs prior month
up 7.2% vs the prior 4 weeks
Top role · 15.7% of skill postings
Top hiring metro
New York City

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Frequently asked questions about predictive analytics

+Is predictive analytics in demand in 2026?

Yes. predictive analytics appears in 885 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Data Scientist accounts for the most postings mentioning predictive analytics (15.7% of all postings mentioning predictive analytics).

+What jobs require predictive analytics?

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 predictive analytics are Sales Executive (25.0% of that role’s postings mention predictive analytics), Bioinformatics Scientist (15.0% of that role’s postings mention predictive analytics), People Analytics Manager (13.8% of that role’s postings mention predictive analytics).

+What skills are commonly paired with predictive analytics?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), predictive analytics most often appears alongside Python, SQL, machine learning, data visualization, Power BI.

+Where is predictive analytics most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring predictive analytics are New York City, Bengaluru, Hyderabad, Singapore, Toronto, according to the Skillenai jobs index.

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

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

+Which skills come before and after predictive 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 predictive analytics — last 90 days

Salary distribution

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

Career paths around predictive analytics

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before predictive analytics

Before predictive analyticspython → predictive analytics: 35 observed employer moves with this skill pairsql → predictive analytics: 29 observed employer moves with this skill pairPower BI → predictive analytics: 25 observed employer moves with this skill pairTableau → predictive analytics: 18 observed employer moves with this skill pairR → predictive analytics: 12 observed employer moves with this skill pairdata pipelines → predictive analytics: 11 observed employer moves with this skill pairspark → predictive analytics: 9 observed employer moves with this skill pairETL → predictive analytics: 9 observed employer moves with this skill pairpredictiveanalyticspython: 35 movespython35 movessql: 29 movessql29 movesPower BI: 25 movesPower BI25 movesTableau: 18 movesTableau18 movesR: 12 movesR12 movesdata pipelines: 11 movesdata pipelines11 movesspark: 9 movesspark9 movesETL: 9 movesETL9 moves

Skills after predictive analytics

After predictive analyticspredictive analytics → Power BI: 15 observed employer moves with this skill pairpredictive analytics → Tableau: 12 observed employer moves with this skill pairpredictive analytics → python: 12 observed employer moves with this skill pairpredictive analytics → machine learning: 9 observed employer moves with this skill pairpredictive analytics → sql: 9 observed employer moves with this skill pairpredictive analytics → ETL: 7 observed employer moves with this skill pairpredictive analytics → AWS: 7 observed employer moves with this skill pairpredictive analytics → a/b testing: 6 observed employer moves with this skill pairpredictiveanalyticsPower BI: 15 movesPower BI15 movesTableau: 12 movesTableau12 movespython: 12 movespython12 movesmachine learning: 9 movesmachine learning9 movessql: 9 movessql9 movesETL: 7 movesETL7 movesAWS: 7 movesAWS7 movesa/b testing: 6 movesa/b testing6 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: python35
Before: sql29
Before: Power BI25
Before: Tableau18
Before: R12
Before: data pipelines11
Before: spark9
Before: ETL9
After: Power BI15
After: Tableau12
After: python12
After: machine learning9
After: sql9
After: ETL7
After: AWS7
After: a/b testing6

Roles most likely to require predictive analytics

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

RolePostings mentioning skill% of role postings mentioning skill
Sales Executive625.0%
Bioinformatics Scientist315.0%
People Analytics Manager413.8%
Marketing Analytics Director311.1%
People Analytics Analyst311.1%
Data Science Director610.3%
AI Data Scientist210.0%
Data & Analytics Engineer29.5%
Data Science Intern49.1%
Business Analytics Manager58.9%

Roles with the most predictive analytics postings

RolePostings mentioning skillShare of skill postings
Data Scientist13915.7%
Data Analyst637.1%
Product Manager505.6%
Software Engineer333.7%
Business Analyst182.0%
Data Engineer171.9%
Systems Engineer131.5%
Business Intelligence Analyst111.2%
Analytics Manager91.0%
Machine Learning Engineer91.0%

Top companies posting jobs requiring predictive analytics

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

Top companies posting jobs requiring predictive analytics
CompanyPostings · 90 days
Cisco19
USAA11
AbbVie11
SpaceX10
JJ10
Vanguard9
8thlightrebuild9
Accenture9
Mastercard8
Capital One7

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 predictive analytics

NamePostingsShare
New York City192.1%
Bengaluru182.0%
Hyderabad171.9%
Singapore151.7%
Toronto151.7%
San Jose131.5%
Arlington121.4%
Dublin111.2%
San Francisco101.1%

Skills commonly paired with predictive analytics

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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 predictive analytics by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s predictive analytics postings by all predictive 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: 0.3% to 0.4%. 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 2,596 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
129d51ac7b420827
data_as_of
2026-09-30
window_days
90
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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