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

As of 2026-11-05, analytics appears in 2,965 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning analytics, with demand share down 24.5% vs the prior 4 weeks.

Last updated · 90d ending 2026-11-05

Postings · last 90 days
2,965
Demand vs prior month
down 24.5% vs the prior 4 weeks
Top role · 24.2% of skill postings
Top hiring metro
New York City

Which roles want analytics?

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

Frequently asked questions about analytics

+Is analytics in demand in 2026?

Yes. analytics appears in 2,965 job postings indexed by Skillenai over the 90 days ending 2026-11-05. Product Manager accounts for the most postings mentioning analytics (24.2% of all postings mentioning analytics).

+What jobs require analytics?

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 analytics are Delivery Solutions Architect (31.6% of that role’s postings mention analytics), AI Native Software Engineer (30.0% of that role’s postings mention analytics), AI Strategy Consultant (23.8% of that role’s postings mention analytics).

+What skills are commonly paired with analytics?

Across job postings indexed by Skillenai (90 days ending 2026-11-05), analytics most often appears alongside SQL, Python, Product Management, experimentation, automation.

+Where is analytics most in demand?

As of 2026-11-05, the metro areas posting the most jobs requiring analytics are New York City, San Francisco, London, Bengaluru, Toronto, according to the Skillenai jobs index.

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

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

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

Salary distribution

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

Career paths around analytics

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before analytics

Before analyticspython → analytics: 20 observed employer moves with this skill pairsql → analytics: 20 observed employer moves with this skill pairAWS → analytics: 9 observed employer moves with this skill pairExcel → analytics: 8 observed employer moves with this skill pairsnowflake → analytics: 8 observed employer moves with this skill pairPower BI → analytics: 7 observed employer moves with this skill pairJira → analytics: 7 observed employer moves with this skill pairAgile → analytics: 6 observed employer moves with this skill pairanalyticspython: 20 movespython20 movessql: 20 movessql20 movesAWS: 9 movesAWS9 movesExcel: 8 movesExcel8 movessnowflake: 8 movessnowflake8 movesPower BI: 7 movesPower BI7 movesJira: 7 movesJira7 movesAgile: 6 movesAgile6 moves

Skills after analytics

After analyticsanalytics → python: 10 observed employer moves with this skill pairanalytics → sql: 10 observed employer moves with this skill pairanalytics → ETL: 8 observed employer moves with this skill pairanalytics → AWS: 7 observed employer moves with this skill pairanalytics → Java: 7 observed employer moves with this skill pairanalytics → machine learning: 6 observed employer moves with this skill pairanalytics → Power BI: 6 observed employer moves with this skill pairanalytics → data collection: 5 observed employer moves with this skill pairanalyticspython: 10 movespython10 movessql: 10 movessql10 movesETL: 8 movesETL8 movesAWS: 7 movesAWS7 movesJava: 7 movesJava7 movesmachine learning: 6 movesmachine learning6 movesPower BI: 6 movesPower BI6 movesdata collection: 5 movesdata collection5 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: python20
Before: sql20
Before: AWS9
Before: Excel8
Before: snowflake8
Before: Power BI7
Before: Jira7
Before: Agile6
After: python10
After: sql10
After: ETL8
After: AWS7
After: Java7
After: machine learning6
After: Power BI6
After: data collection5

Roles most likely to require analytics

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

RolePostings mentioning skill% of role postings mentioning skill
Delivery Solutions Architect1231.6%
AI Native Software Engineer630.0%
AI Strategy Consultant523.8%
Business Intelligence Director723.3%
Digital Product Manager2519.7%
Product Management Director419.0%
Digital Product Owner518.5%
Marketing Analytics Director417.4%
Process Architect417.4%
Solution Engineering Manager417.4%

Roles with the most analytics postings

RolePostings mentioning skillShare of skill postings
Product Manager71924.2%
Software Engineer1374.6%
Product Owner722.4%
Product Designer662.2%
Data Scientist622.1%
Program Manager582.0%
Business Analyst571.9%
Solutions Architect561.9%
Data Analyst421.4%
Technical Product Manager351.2%

Top companies posting jobs requiring analytics

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

Top companies posting jobs requiring analytics
CompanyPostings · 90 days
Databricks55
Capital One53
Mastercard31
JJ30
USAA27
AbbVie25
Elsevier22
Google20
Stripe20
Mozilla19

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 analytics

NamePostingsShare
New York City1314.4%
San Francisco943.2%
London732.5%
Bengaluru501.7%
Toronto441.5%
Singapore331.1%
Chicago311.0%
Paris291.0%
Boston280.9%

Skills commonly paired with analytics

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 analytics by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s analytics postings by all 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: 1.6% to 1.2%. 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
725d72efcd878fae
data_as_of
2026-11-05
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index