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

As of 2026-10-14, OLAP appears in 291 job postings indexed by Skillenai over the past 90 days — Solutions Architect has the most postings mentioning OLAP.

Last updated · 90d ending 2026-10-14

Postings · last 90 days
291
Top role · 26.5% of skill postings
Top hiring metro
New York City

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Frequently asked questions about OLAP

+Is OLAP in demand in 2026?

Yes. OLAP appears in 291 job postings indexed by Skillenai over the 90 days ending 2026-10-14. Solutions Architect accounts for the most postings mentioning OLAP (26.5% of all postings mentioning OLAP).

+What jobs require OLAP?

According to the Skillenai jobs index over the 90 days ending 2026-10-14, among roles with at least 20 postings, the highest shares mentioning OLAP are Consulting Engineer (31.6% of that role’s postings mention OLAP), Cloud Data Engineer (5.5% of that role’s postings mention OLAP), Data Business Analyst (4.8% of that role’s postings mention OLAP).

+What skills are commonly paired with OLAP?

Across job postings indexed by Skillenai (90 days ending 2026-10-14), OLAP most often appears alongside SQL, OLTP, Python, AWS, Azure.

+Where is OLAP most in demand?

As of 2026-10-14, the metro areas posting the most jobs requiring OLAP are New York City, San Francisco, Chicago, Tokyo, Amsterdam, according to the Skillenai jobs index.

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

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

+Which skills come before and after OLAP?

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 OLAP — last 90 days

Salary distribution

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

Career paths around OLAP

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before OLAP

Before OLAPpython → OLAP: 8 observed employer moves with this skill pairsql → OLAP: 8 observed employer moves with this skill pairsnowflake → OLAP: 5 observed employer moves with this skill pairSSIS → OLAP: 4 observed employer moves with this skill pairAWS → OLAP: 4 observed employer moves with this skill pairSQL Server → OLAP: 4 observed employer moves with this skill pairC# → OLAP: 3 observed employer moves with this skill pairPySpark → OLAP: 3 observed employer moves with this skill pairOLAPpython: 8 movespython8 movessql: 8 movessql8 movessnowflake: 5 movessnowflake5 movesSSIS: 4 movesSSIS4 movesAWS: 4 movesAWS4 movesSQL Server: 4 movesSQL Server4 movesC#: 3 movesC#3 movesPySpark: 3 movesPySpark3 moves

Skills after OLAP

After OLAPOLAP → python: 8 observed employer moves with this skill pairOLAP → sql: 8 observed employer moves with this skill pairOLAP → Tableau: 6 observed employer moves with this skill pairOLAP → AWS: 5 observed employer moves with this skill pairOLAP → Azure: 4 observed employer moves with this skill pairOLAP → SQL Server: 4 observed employer moves with this skill pairOLAP → airflow: 4 observed employer moves with this skill pairOLAP → Power BI: 4 observed employer moves with this skill pairOLAPpython: 8 movespython8 movessql: 8 movessql8 movesTableau: 6 movesTableau6 movesAWS: 5 movesAWS5 movesAzure: 4 movesAzure4 movesSQL Server: 4 movesSQL Server4 movesairflow: 4 movesairflow4 movesPower BI: 4 movesPower BI4 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: python8
Before: sql8
Before: snowflake5
Before: SSIS4
Before: AWS4
Before: SQL Server4
Before: C#3
Before: PySpark3
After: python8
After: sql8
After: Tableau6
After: AWS5
After: Azure4
After: SQL Server4
After: airflow4
After: Power BI4

Roles most likely to require OLAP

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

RolePostings mentioning skill% of role postings mentioning skill
Consulting Engineer1831.6%
Cloud Data Engineer35.5%
Data Business Analyst14.8%
ETL Developer23.8%
Database Architect13.1%
Solutions Architect773.1%
Database Reliability Engineer12.7%
Production Engineer12.2%
Implementation Engineer12.1%
Product Data Scientist11.9%

Roles with the most OLAP postings

RolePostings mentioning skillShare of skill postings
Solutions Architect7726.5%
Software Engineer5017.2%
Data Engineer4314.8%
Backend Engineer206.9%
Consulting Engineer186.2%
Data Architect82.7%
Engineering Manager72.4%
Certification Manager41.4%
Curriculum Developer & Instructor41.4%
Analytics Developer31.0%

Top companies posting jobs requiring OLAP

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

Top companies posting jobs requiring OLAP
CompanyPostings · 90 days
Databricks67
ClickHouse37
Grafana Labs12
SunnyData7
Hiflylabs6
Grafanalabs5
Klaviyo5
CLERA4
Children's National Hospital3
Salesforce3

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 OLAP

NamePostingsShare
New York City237.9%
San Francisco82.7%
Chicago62.1%
Tokyo62.1%
Amsterdam41.4%
Seoul41.4%
Washington41.4%
Bengaluru31.0%
Boston31.0%

Skills commonly paired with OLAP

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-14. 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 OLAP by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s OLAP postings by all OLAP 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
c62789028e10a01e
data_as_of
2026-10-14
window_days
90
Hiring engineers who use OLAP?

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Compiled by Jared Rand · Data sourced from the Skillenai labor market index