Analytics Engineer: market
An Analytics Engineer turns raw data into reliable models for analytics: writes transformations in the warehouse, defines metrics, tests and documents data so analysts and BI work from one version of the truth. We currently track 727 open positions for this role, 710 of them fresh. The core is advanced SQL and dbt, a cloud warehouse (Snowflake, BigQuery, Redshift or Databricks), version control and CI for models, a BI tool (Looker, Tableau, Power BI) and Python basics. By co-occurrence in requirements, SQL, Python, dbt and Snowflake appear most often. 43% of the postings allow fully remote work. Below is a live slice of the Analytics Engineer market: geography, seniority, adjacent stack and sources.
The Analytics Engineer market currently has 727 open roles, 710 of them freshly observed. Median salary $8,300/mo.
43% of Analytics Engineer postings allow fully remote work; the share counts only postings that state the format.
⚠ salary known for 69 of 727 jobs; remote share from 650 with a stated format; 710 counted as fresh observations; trend and hiring difficulty are not shown
Timeline: postings and sources
How many Analytics Engineer postings appeared each week since 4 May, and from how many sources. The second line separates market growth from coverage growth: a jump in the week new sources were connected means we started seeing more, not that the market grew.
New postings and active sources per week
Sources over the period: 109
New sources connected: 11 May +2 · 18 May +7 · 25 May +3 · 1 Jun +2 · 8 Jun +3 · 15 Jun +1 · 22 Jun +8 · 29 Jun +12 · 6 Jul +8 · 13 Jul +13 · 20 Jul +5 · 27 Jul +3 · 3 Aug +3 · 10 Aug +2 · 17 Aug +4 · 31 Aug +3 · 7 Sept +2 · 21 Sept +7 · 28 Sept +4 · 5 Oct +3 · 12 Oct +7
Week = posting first-seen date, all statuses; postings are selected by the same rule as this page's counter. Sources are distinct collection channels; their names are not published.
Remote work over time
Share of Analytics Engineer postings offering fully remote work, per week.
Remote postings, %
The share is among postings that state a format (remote, hybrid, office). Weeks with fewer than 10 such postings are left blank.
Technologies over time
How the share of Analytics Engineer postings mentioning each of the top technologies changed.
Postings mentioning the technology, %
Share among postings with a tagged stack; the series starts on 10 Aug: earlier stack tags were assigned differently. Weeks with fewer than 20 tagged postings are left blank.
Countries over time
How the share of Analytics Engineer postings in each of the top countries changed, per week.
Postings in the country, %
Share among postings with a known country; the chart shows the five countries with the most postings over six months. Weeks with fewer than 20 postings with a known country are left blank. A rising share can mean a newly connected source in that country rather than market growth.
Demand and observed supply: Analytics Engineer
| Open demand | 727 |
| Observed supply | — not published |
⚠ candidates matching a vacancy are not counted yet: demand and the observed pool are shown
Salary distribution: Analytics Engineer
One in ten earns under $5,163, one in ten over $15,750. Half the market falls between $6,000 and $12,976. Sample: 69.
The range histogram for Analytics Engineer uses only postings with an explicit compensation range; the median is computed over the same sample.
Demand geography: Analytics Engineer
| country | jobs |
|---|---|
| US | 206 |
| GB | 88 |
| DE | 53 |
| FR | 26 |
| PL | 26 |
| CA | 18 |
| IN | 17 |
| BR | 16 |
| ES | 15 |
| NL | 13 |
The top country for Analytics Engineer demand is the US (206 positions).
⚠ job counts only: salary by country is not published
Used together with
In Analytics Engineer requirements the most frequently named skills and technologies are SQL, Python, dbt and Snowflake.
Demand by grade: Analytics Engineer
| grade | jobs |
|---|---|
| senior | 303 |
| lead | 51 |
| principal | 40 |
| middle | 17 |
| junior | 5 |
Senior-and-above is about 95% of 416 Analytics Engineer postings with an explicit grade.
⚠ demand side only: the grade of the observed pool is unknown for most of it
Employers: Analytics Engineer
Demand is spread across 424 employers. The largest accounts for 8.4%, the top ten for 18.5%; the remaining 81.5% is long tail.
| share | value |
|---|---|
| top-1 | 8.4% |
| top-3 | 11.6% |
| top-10 | 18.5% |
| long tail | 81.5% |
Analytics Engineer openings come from 424 distinct employers; the largest one accounts for only 8.4% of postings — the market is not tied to a single hirer.
⚠ names are not shown: staffing agencies and end employers are not yet told apart by the classifier
Where Zorky sees this market
Observed across 58 sources; the largest accounts for 18.3% — this market does not rest on a single channel.
Analytics Engineer postings arrive mostly from ATS & career sites and job boards & aggregators.
Recent openings: Analytics Engineer
- Principal Engineer, Data Analytics Engineering [ 8 years ] (Java/Python | Kafka | Kubernetes) · IN
- Sr. Data Analytics Engineer (R14153)
- Analytics Engineer · GB · $6,830
- Analytics Engineer - All Genders · GB
- Analytics Engineer · GB
- Staff Data Analytics Engineer
- Analytics Engineer · GB
- Analytics Engineer (m/f/d) · DE
Adjacent markets
⚠ adjacent markets for comparison are not defined yet
How this is measured
- Vacancy
- an open job that cleared the quality gate and lists at least two technologies
- Observed candidate
- a candidate whose stack contains this technology; an aggregate — not a single record leaves the perimeter
- Matchable candidate
- not counted yet
- Window
- jobs open at the moment the snapshot was built
About the data
- Some breakdowns are hidden: their data coverage is not yet sufficient.
- Statistics are shown only where the sample clears a quality gate.
- A missing block does not mean a value of zero.
Breakdowns currently hidden: 8.
Data as of 2026-10-24
Frequently asked questions
Common questions about the Analytics Engineer role — short answers from the same data slice.
What does an Analytics Engineer do?
An Analytics Engineer turns raw data into reliable models for analytics: writes transformations in the warehouse, defines metrics, tests and documents data so analysts and BI work from one version of the truth.
Which skills do Analytics Engineer postings require?
The core is advanced SQL and dbt, a cloud warehouse (Snowflake, BigQuery, Redshift or Databricks), version control and CI for models, a BI tool (Looker, Tableau, Power BI) and Python basics. In the current slice, SQL, Python, dbt and Snowflake appear in requirements most often.
How does an Analytics Engineer differ from a Data Engineer?
A Data Engineer delivers data into the warehouse and owns the pipelines; an Analytics Engineer works inside the warehouse, modeling data and metrics so analysts don't have to rewrite complex SQL every time.
How remote-friendly are Analytics Engineer jobs?
43% of postings with an explicit format allow fully remote work; the slice tracks 727 open positions.
Get the full Analytics Engineer market details
Full role analytics — salary bands, employers, trends and available candidates. Leave a contact and we'll send the details.