1
Which companies in New Zealand hire Analytics Engineers?
Xero, Datacom, ANZ New Zealand, ASB Bank, and similar employers are among the most consistent hirers for this role in New Zealand.
Market IntelligenceGrowing demand
Analytics Engineer Market Demand in United States
Hiring outlook, remote working rates, and which companies are actively recruiting.
Hiring outlook
Growing
Analytics Engineer hiring in the US is concentrated in Seattle, San Francisco Bay Area, and Austin, with demand driven by AI and data platform teams scaling their capability through 2025 into 2026. Scale AI and OpenAI are among the more consistent hirers, and this site's US take-home baseline models federal tax and FICA only, so real net pay swings meaningfully by state, from zero income tax in Texas and Washington to California's and New York City's much steeper combined top rates.
Remote / hybrid
78%
of United States Analytics Engineer roles advertise remote or hybrid working
Market activity
+8.7%
Year-on-year salary movement in United States. Positive movement signals active market competition.
What's driving Analytics Engineer demand in United States
Strongest in: AI and data platform teams across Seattle, San Francisco Bay Area, and Austin, led by employers such as Scale AI and OpenAI
Analytics Engineer hiring in the US is concentrated in Seattle, San Francisco Bay Area, and Austin, with demand driven by AI and data platform teams scaling their capability through 2025 into 2026. Scale AI and OpenAI are among the more consistent hirers, and this site's US take-home baseline models federal tax and FICA only, so real net pay swings meaningfully by state, from zero income tax in Texas and Washington to California's and New York City's much steeper combined top rates.
Who companies hire: Data analysts with strong SQL and dbt skills are the most natural fit. The role sits at the intersection of engineering and analysis, so both paths transition in comfortably.
Skills commanding the biggest premium right now
Salary premium over the United States median for Analytics Engineers who list these skills.
dbt Core / Cloud+22%
Looker / Metabase+13%
Data Vault modelling+16%
Great Expectations+11%
Top employers hiring in United States
Companies with consistent or active Analytics Engineer hiring in United States.
Scale AIOpenAIAnthropicGoogle DeepMindMeta AIDatabricks
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Analytics Engineer demand questions for United States
2
What percentage of Analytics Engineer roles in New Zealand offer remote work?
Around 78% of active New Zealand listings advertise some remote or hybrid flexibility, though model-building and data-pipeline work is largely asynchronous and tool-driven, and New Zealand's small local talent pool means employers routinely hire remote specialists across the country or accept candidates returning from OE (Overseas Experience) in the UK or Australia.
3
Is Analytics Engineering in demand in Ireland in 2026?
Demand is growing. The dbt ecosystem has become standard across Irish SaaS and scale-up companies, and most organisations hiring for analytics maturity need an Analytics Engineer as part of that build. It is a role that did not exist as a dedicated function five years ago in most Irish companies.
4
Which companies in Ireland hire Analytics Engineers?
HubSpot, Stripe, and Intercom are the most active hirers among established tech companies. Zalando and Personio hire at volume for their Dublin analytics functions. Among smaller companies, any scale-up that has adopted dbt is a candidate.
5
What skills give an Analytics Engineer the biggest salary premium in Ireland?
dbt Core or Cloud expertise commands the highest premium at around 22%. Data Vault modelling and Looker proficiency follow. The ability to own the semantic layer and translate business definitions into reliable dbt models is the skill that separates mid-level from senior practitioners.
6
What percentage of Analytics Engineer roles in Ireland offer remote work?
Around 78% of active listings advertise hybrid or fully remote working. The dbt-centric workflow is entirely tool-driven and asynchronous, making this one of the most remote-compatible roles in the data discipline.