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

As of 2026-10-08, analytics platforms appears in 195 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning analytics platforms, with demand share down 2.8% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-08

Postings · last 90 days
195
Demand vs prior month
down 2.8% vs the prior 4 weeks
Top role · 15.9% of skill postings
Top hiring metro
Denver

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Frequently asked questions about analytics platforms

+Is analytics platforms in demand in 2026?

Yes. analytics platforms appears in 195 job postings indexed by Skillenai over the 90 days ending 2026-10-08. Product Manager accounts for the most postings mentioning analytics platforms (15.9% of all postings mentioning analytics platforms).

+What jobs require analytics platforms?

According to the Skillenai jobs index over the 90 days ending 2026-10-08, among roles with at least 20 postings, the highest shares mentioning analytics platforms are GIS Solution Engineer (95.2% of that role’s postings mention analytics platforms), SAP Solution Architect (5.9% of that role’s postings mention analytics platforms), AI Solutions Engineer (5.0% of that role’s postings mention analytics platforms).

+What skills are commonly paired with analytics platforms?

Across job postings indexed by Skillenai (90 days ending 2026-10-08), analytics platforms most often appears alongside AWS, Python, SQL, CRM, data warehousing.

+Where is analytics platforms most in demand?

As of 2026-10-08, the metro areas posting the most jobs requiring analytics platforms are Denver, New York City, London, Charlotte, Bengaluru, according to the Skillenai jobs index.

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

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

+Which skills come before and after analytics platforms?

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 platforms — last 90 days

Career paths around analytics platforms

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before analytics platforms

Before analytics platformsspark → analytics platforms: 1 observed employer moves with this skill pairreconciliation processes → analytics platforms: 1 observed employer moves with this skill pairPHP → analytics platforms: 1 observed employer moves with this skill pairpython → analytics platforms: 1 observed employer moves with this skill pairmachine learning algorithms → analytics platforms: 1 observed employer moves with this skill pairMYSQL → analytics platforms: 1 observed employer moves with this skill pairprivacy preservation → analytics platforms: 1 observed employer moves with this skill pairSEO → analytics platforms: 1 observed employer moves with this skill pairanalyticsplatformsspark: 1 movesspark1 movesreconciliation processes: 1 movesreconciliationprocesses1 movesPHP: 1 movesPHP1 movespython: 1 movespython1 movesmachine learning algorithms: 1 movesmachine learningalgorithms1 movesMYSQL: 1 movesMYSQL1 movesprivacy preservation: 1 movesprivacypreservation1 movesSEO: 1 movesSEO1 moves

Skills after analytics platforms

After analytics platformsanalytics platforms → spark: 1 observed employer moves with this skill pairanalytics platforms → ETL validation: 1 observed employer moves with this skill pairanalytics platforms → credible sources: 1 observed employer moves with this skill pairanalytics platforms → Social media presence: 1 observed employer moves with this skill pairanalytics platforms → AI: 1 observed employer moves with this skill pairanalytics platforms → web traffic: 1 observed employer moves with this skill pairanalytics platforms → ADF: 1 observed employer moves with this skill pairanalytics platforms → Real-time Kafka: 1 observed employer moves with this skill pairanalyticsplatformsspark: 1 movesspark1 movesETL validation: 1 movesETL validation1 movescredible sources: 1 movescredible sources1 movesSocial media presence: 1 movesSocial mediapresence1 movesAI: 1 movesAI1 movesweb traffic: 1 movesweb traffic1 movesADF: 1 movesADF1 movesReal-time Kafka: 1 movesReal-time Kafka1 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: spark1
Before: reconciliation processes1
Before: PHP1
Before: python1
Before: machine learning algorithms1
Before: MYSQL1
Before: privacy preservation1
Before: SEO1
After: spark1
After: ETL validation1
After: credible sources1
After: Social media presence1
After: AI1
After: web traffic1
After: ADF1
After: Real-time Kafka1

Roles most likely to require analytics platforms

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

RolePostings mentioning skill% of role postings mentioning skill
GIS Solution Engineer2095.2%
SAP Solution Architect25.9%
AI Solutions Engineer15.0%
Delivery Manager15.0%
Master Data Analyst14.8%
AI Engineering Manager33.4%
Solution Engineer83.3%
Data Product Manager33.2%
Manufacturing Systems Engineer12.7%
Domain Architect12.6%

Roles with the most analytics platforms postings

RolePostings mentioning skillShare of skill postings
Product Manager3115.9%
GIS Solution Engineer2010.3%
Software Engineer94.6%
Solution Engineer84.1%
Product Designer52.6%
UX Researcher52.6%
AI Engineer42.1%
Engineering Manager42.1%
AI Engineering Manager31.5%
Business Analyst31.5%

Top companies posting jobs requiring analytics platforms

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

Top companies posting jobs requiring analytics platforms
CompanyPostings · 90 days
Esri28
Tripledotstudios7
OneTrust5
Stripe4
Synthesia3
Flohealth3
ProSidian Consulting2
Tripadvisor2
Mastercard2
Advanced Micro Devices Inc.2

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 platforms

NamePostingsShare
Denver94.6%
New York City94.6%
London73.6%
Charlotte63.1%
Bengaluru52.6%
Philadelphia52.6%
Singapore42.1%
Chicago31.5%
Pune31.5%

Skills commonly paired with analytics platforms

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-08. 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 platforms by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s analytics platforms postings by all analytics platforms 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 2,617 identified employers and covers 70% of earlier and 72% of latest indexed postings. Windows: 2026-06-09 to 2026-09-07 and 2026-07-07 to 2026-10-05 (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
ee221897d33ca8ea
data_as_of
2026-10-08
window_days
90
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Compiled by Jared Rand · Data sourced from the Skillenai labor market index