Skillenai

Business intelligence (BI) jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-29, Business intelligence (BI) appears in 171 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning Business intelligence (BI), with demand share down 6.9% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-29

Postings · last 90 days
171
Demand vs prior month
down 6.9% vs the prior 4 weeks
Top role · 8.2% of skill postings
Product Manager
Top hiring metro
Bangkok

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Frequently asked questions about Business intelligence (BI)

+Is Business intelligence (BI) in demand in 2026?

Yes. Business intelligence (BI) appears in 171 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Product Manager accounts for the most postings mentioning Business intelligence (BI) (8.2% of all postings mentioning Business intelligence (BI)).

+What jobs require Business intelligence (BI)?

According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning Business intelligence (BI) are Business Intelligence Specialist (5.7% of that role’s postings mention Business intelligence (BI)), Analytics Associate (5.0% of that role’s postings mention Business intelligence (BI)), Data Analytics Director (5.0% of that role’s postings mention Business intelligence (BI)).

+What skills are commonly paired with Business intelligence (BI)?

Across job postings indexed by Skillenai (90 days ending 2026-10-29), Business intelligence (BI) most often appears alongside SQL, data visualization, data modeling, Data analysis, Tableau.

+Where is Business intelligence (BI) most in demand?

As of 2026-10-29, the metro areas posting the most jobs requiring Business intelligence (BI) are Bangkok, Bengaluru, New York City, Toronto, Arlington, according to the Skillenai jobs index.

+How can I keep up with new Business intelligence (BI) content and jobs?

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

+Which skills come before and after Business intelligence (BI)?

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 Business intelligence (BI) — last 90 days

Career paths around Business intelligence (BI)

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Business intelligence (BI)

Before Business intelligence (BI)sql → Business intelligence (BI): 2 observed employer moves with this skill pairdata profiling → Business intelligence (BI): 1 observed employer moves with this skill pairData- Mapping → Business intelligence (BI): 1 observed employer moves with this skill pairOLTP → Business intelligence (BI): 1 observed employer moves with this skill pairETL → Business intelligence (BI): 1 observed employer moves with this skill pairbackup → Business intelligence (BI): 1 observed employer moves with this skill pairmetadata → Business intelligence (BI): 1 observed employer moves with this skill pairpython → Business intelligence (BI): 1 observed employer moves with this skill pairBusinessintelligence(BI)sql: 2 movessql2 movesdata profiling: 1 movesdata profiling1 movesData- Mapping: 1 movesData- Mapping1 movesOLTP: 1 movesOLTP1 movesETL: 1 movesETL1 movesbackup: 1 movesbackup1 movesmetadata: 1 movesmetadata1 movespython: 1 movespython1 moves

Skills after Business intelligence (BI)

After Business intelligence (BI)Business intelligence (BI) → sql: 2 observed employer moves with this skill pairBusiness intelligence (BI) → Product requirement documents: 1 observed employer moves with this skill pairBusiness intelligence (BI) → B2B and B2C SaaS: 1 observed employer moves with this skill pairBusiness intelligence (BI) → Table joins: 1 observed employer moves with this skill pairBusiness intelligence (BI) → internet advertising: 1 observed employer moves with this skill pairBusiness intelligence (BI) → AWS Cloud: 1 observed employer moves with this skill pairBusiness intelligence (BI) → markdown: 1 observed employer moves with this skill pairBusiness intelligence (BI) → Agile: 1 observed employer moves with this skill pairBusinessintelligence(BI)sql: 2 movessql2 movesProduct requirement documents: 1 movesProductrequirementdocuments1 movesB2B and B2C SaaS: 1 movesB2B and B2C SaaS1 movesTable joins: 1 movesTable joins1 movesinternet advertising: 1 movesinternetadvertising1 movesAWS Cloud: 1 movesAWS Cloud1 movesmarkdown: 1 movesmarkdown1 movesAgile: 1 movesAgile1 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: sql2
Before: data profiling1
Before: Data- Mapping1
Before: OLTP1
Before: ETL1
Before: backup1
Before: metadata1
Before: python1
After: sql2
After: Product requirement documents1
After: B2B and B2C SaaS1
After: Table joins1
After: internet advertising1
After: AWS Cloud1
After: markdown1
After: Agile1

Roles most likely to require Business intelligence (BI)

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

RolePostings mentioning skill% of role postings mentioning skill
Business Intelligence Specialist25.7%
Analytics Associate15.0%
Data Analytics Director15.0%
Growth Analyst15.0%
People Analytics Analyst15.0%
Analytics Specialist13.6%
Business Intelligence Developer43.5%
Business Intelligence Director13.0%
Data Product Owner12.6%
FP&A Manager12.6%

Roles with the most Business intelligence (BI) postings

RolePostings mentioning skillShare of skill postings
Product Manager148.2%
Data Analyst137.6%
Business Analyst84.7%
Data Scientist84.7%
Business Intelligence Analyst63.5%
Data Engineer63.5%
Business Intelligence Developer42.3%
Analytics Manager31.8%
Business Intelligence Associate21.2%
Business Intelligence Specialist21.2%

Top companies posting jobs requiring Business intelligence (BI)

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

Top companies posting jobs requiring Business intelligence (BI)
CompanyPostings · 90 days
MSD14
Agoda6
JJ5
NielsenIQ3
Qantas Group3
Guidehouse3
QuoteMachine3
SEC2
PwC2
WPP2

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 Business intelligence (BI)

NamePostingsShare
Bangkok63.5%
Bengaluru52.9%
New York City52.9%
Toronto52.9%
Arlington42.3%
London42.3%
Philadelphia42.3%
Boston31.8%
Plano31.8%

Skills commonly paired with Business intelligence (BI)

SQL (67)data visualization (54)data modeling (53)Data analysis (44)Tableau (44)Python (42)Power BI (40)data governance (36)Data engineering (25)ETL (23)

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 2026-10-29. 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 Business intelligence (BI) by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Business intelligence (BI) postings by all Business intelligence (BI) 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: 0.1% 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 2,482 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
293d989798013949
data_as_of
2026-10-29
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index