data-driven decision-making jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-11-05, data-driven decision-making appears in 339 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning data-driven decision-making, with demand share down 17.9% vs the prior 4 weeks.

Last updated · 90d ending 2026-11-05

Postings · last 90 days
339
Demand vs prior month
down 17.9% vs the prior 4 weeks
Top role · 38.1% of skill postings
Top hiring metro
New York City

Which roles want data-driven decision-making?

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

Frequently asked questions about data-driven decision-making

+Is data-driven decision-making in demand in 2026?

Yes. data-driven decision-making appears in 339 job postings indexed by Skillenai over the 90 days ending 2026-11-05. Product Manager accounts for the most postings mentioning data-driven decision-making (38.1% of all postings mentioning data-driven decision-making).

+What jobs require data-driven decision-making?

According to the Skillenai jobs index over the 90 days ending 2026-11-05, among roles with at least 20 postings, the highest shares mentioning data-driven decision-making are Digital Product Owner (11.1% of that role’s postings mention data-driven decision-making), Software Product Manager (6.2% of that role’s postings mention data-driven decision-making), Commercial Product Manager (5.0% of that role’s postings mention data-driven decision-making).

+What skills are commonly paired with data-driven decision-making?

Across job postings indexed by Skillenai (90 days ending 2026-11-05), data-driven decision-making most often appears alongside Product Management, product strategy, Agile, Product roadmap, stakeholder management.

+Where is data-driven decision-making most in demand?

As of 2026-11-05, the metro areas posting the most jobs requiring data-driven decision-making are New York City, London, San Jose, Alexandria, Berlin, according to the Skillenai jobs index.

+How can I keep up with new data-driven decision-making content and jobs?

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

+Which skills come before and after data-driven decision-making?

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-driven decision-making — last 90 days

Career paths around data-driven decision-making

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before data-driven decision-making

Before data-driven decision-makingpython → data-driven decision-making: 6 observed employer moves with this skill pairdata pipelines → data-driven decision-making: 5 observed employer moves with this skill pairPower BI → data-driven decision-making: 4 observed employer moves with this skill pairsql → data-driven decision-making: 4 observed employer moves with this skill pairdashboards → data-driven decision-making: 4 observed employer moves with this skill pairdata models → data-driven decision-making: 3 observed employer moves with this skill pairR → data-driven decision-making: 3 observed employer moves with this skill pairaccessibility → data-driven decision-making: 2 observed employer moves with this skill pairdata-drivendecision-mak…python: 6 movespython6 movesdata pipelines: 5 movesdata pipelines5 movesPower BI: 4 movesPower BI4 movessql: 4 movessql4 movesdashboards: 4 movesdashboards4 movesdata models: 3 movesdata models3 movesR: 3 movesR3 movesaccessibility: 2 movesaccessibility2 moves

Skills after data-driven decision-making

After data-driven decision-makingdata-driven decision-making → python: 7 observed employer moves with this skill pairdata-driven decision-making → Power BI: 3 observed employer moves with this skill pairdata-driven decision-making → data analysis: 3 observed employer moves with this skill pairdata-driven decision-making → Neural network: 2 observed employer moves with this skill pairdata-driven decision-making → Decision Trees: 2 observed employer moves with this skill pairdata-driven decision-making → predictive models: 2 observed employer moves with this skill pairdata-driven decision-making → numpy: 2 observed employer moves with this skill pairdata-driven decision-making → Kafka: 2 observed employer moves with this skill pairdata-drivendecision-mak…python: 7 movespython7 movesPower BI: 3 movesPower BI3 movesdata analysis: 3 movesdata analysis3 movesNeural network: 2 movesNeural network2 movesDecision Trees: 2 movesDecision Trees2 movespredictive models: 2 movespredictive models2 movesnumpy: 2 movesnumpy2 movesKafka: 2 movesKafka2 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: python6
Before: data pipelines5
Before: Power BI4
Before: sql4
Before: dashboards4
Before: data models3
Before: R3
Before: accessibility2
After: python7
After: Power BI3
After: data analysis3
After: Neural network2
After: Decision Trees2
After: predictive models2
After: numpy2
After: Kafka2

Roles most likely to require data-driven decision-making

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

RolePostings mentioning skill% of role postings mentioning skill
Digital Product Owner311.1%
Software Product Manager26.2%
Commercial Product Manager15.0%
Business Intelligence Architect14.5%
Research Program Manager14.5%
Analytics Intern13.6%
Business Analytics Manager23.4%
Product Operations Manager13.3%
Data Analytics Lead12.9%
Adjunct Faculty12.5%

Roles with the most data-driven decision-making postings

RolePostings mentioning skillShare of skill postings
Product Manager12938.1%
Technical Program Manager175.0%
Program Manager144.1%
Product Owner123.5%
Data Scientist102.9%
Business Analyst72.1%
Technical Product Manager61.8%
Data Analyst51.5%
AI Product Manager41.2%
Principal Product Manager41.2%

Top companies posting jobs requiring data-driven decision-making

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

Top companies posting jobs requiring data-driven decision-making
CompanyPostings · 90 days
Simility, a Paypal Service11
ProSidian Consulting9
Mastercard7
Novartis7
Elsevier6
Globalpr5
Barclays5
Paypal5
Bosch5
Tekion5

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-driven decision-making

NamePostingsShare
New York City133.8%
London123.5%
San Jose113.2%
Alexandria92.7%
Berlin72.1%
Austin61.8%
Barcelona61.8%
Toronto61.8%
Amsterdam51.5%

Skills commonly paired with data-driven decision-making

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 2026-11-05. 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-driven decision-making by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data-driven decision-making postings by all data-driven decision-making 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 0.1%. 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
ed85f17bd76aa769
data_as_of
2026-11-05
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index