attribution modeling jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, attribution modeling appears in 213 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning attribution modeling.
Last updated · 90d ending 2026-10-29
Which roles want attribution modeling?
Upload your resume and Skillenai will show which roles your attribution modeling experience fits, which skills you already cover, and what is missing.
Frequently asked questions about attribution modeling
+Is attribution modeling in demand in 2026?
Yes. attribution modeling appears in 213 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Data Scientist accounts for the most postings mentioning attribution modeling (11.3% of all postings mentioning attribution modeling).
+What jobs require attribution modeling?
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 attribution modeling are Marketing Analytics Manager (29.9% of that role’s postings mention attribution modeling), Marketing Operations Manager (17.1% of that role’s postings mention attribution modeling), Marketing Data Analyst (12.5% of that role’s postings mention attribution modeling).
+What skills are commonly paired with attribution modeling?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), attribution modeling most often appears alongside SQL, Python, A/B testing, Tableau, data visualization.
+Where is attribution modeling most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring attribution modeling are San Francisco, New York City, Lisbon, Bangkok, Chicago, according to the Skillenai jobs index.
+How can I keep up with new attribution modeling content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning attribution modeling alongside the jobs index. You can subscribe to a daily email digest of new attribution modeling content from your Skillenai account.
+Which skills come before and after attribution modeling?
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 attribution modeling — last 90 days
Career paths around attribution modeling
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before attribution modeling
Skills after attribution modeling
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.
| Connection | Moves |
|---|---|
| Before: RFM | 1 |
| Before: python | 1 |
| Before: HDFS | 1 |
| Before: Apigee | 1 |
| Before: IAM | 1 |
| Before: Pub/Sub | 1 |
| Before: Teradata | 1 |
| Before: GCP | 1 |
| After: NLP | 1 |
| After: Azure ADLS & ADF | 1 |
| After: NiCE CXone | 1 |
| After: Kinesis | 1 |
| After: Amazon Lex | 1 |
| After: LivePerson | 1 |
| After: llm | 1 |
| After: AWS Glue | 1 |
Roles most likely to require attribution modeling
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Marketing Analytics Manager | 20 | 29.9% |
| Marketing Operations Manager | 6 | 17.1% |
| Marketing Data Analyst | 8 | 12.5% |
| Marketing Analytics Director | 3 | 12.0% |
| Decision Scientist | 4 | 9.5% |
| Marketing Analyst | 7 | 8.1% |
| Data Analytics Director | 1 | 5.0% |
| AI Project Manager | 1 | 3.6% |
| Analytics Manager | 9 | 2.9% |
| Analytics Analyst | 1 | 2.8% |
Roles with the most attribution modeling postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Scientist | 24 | 11.3% |
| Data Analyst | 22 | 10.3% |
| Marketing Analytics Manager | 20 | 9.4% |
| Analytics Manager | 9 | 4.2% |
| Data Operations Lead | 8 | 3.8% |
| Marketing Data Analyst | 8 | 3.8% |
| Product Manager | 8 | 3.8% |
| Marketing Analyst | 7 | 3.3% |
| Marketing Operations Manager | 6 | 2.8% |
| Decision Scientist | 4 | 1.9% |
Top companies posting jobs requiring attribution modeling
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Sixt | 8 |
| Powerdigitalmarketing | 7 |
| CLERA | 7 |
| Agoda | 7 |
| Northbeam | 5 |
| WPP | 4 |
| Nord Security | 4 |
| Grab | 4 |
| Feverup | 3 |
| Okta | 3 |
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 attribution modeling
| Name | Postings | Share |
|---|---|---|
| San Francisco | 16 | 7.5% |
| New York City | 10 | 4.7% |
| Lisbon | 9 | 4.2% |
| Bangkok | 7 | 3.3% |
| Chicago | 6 | 2.8% |
| Little Rock | 3 | 1.4% |
| Madrid | 3 | 1.4% |
| Palo Alto | 3 | 1.4% |
| Tel Aviv | 3 | 1.4% |
Skills commonly paired with attribution modeling
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 attribution modeling by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s attribution modeling postings by all attribution modeling 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). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 321b5a52ed80ed52
- data_as_of
- 2026-10-29
- window_days
- 90