Lead GTM Data Operations Analyst, AI Workflows
$124k – $186k / year
5 months ago
Mid-level SaaS Data jobs
Data science, analytics, data engineering and BI roles at SaaS companies, posted straight from their careers pages.
Lead GTM Data Operations Analyst, AI Workflows
$124k – $186k / year
5 months ago
Data Annotation Specialist, Engineering (civil, mechanical, electrical, chemical)
5 months ago
Knowledge & Data Architect
5 months ago
Data Engineer
5 months ago
Data Scientist, Core Data – PhD (2026)
$170k – $178k / year
5 months ago
Data Center Controls Network Engineer
$257k – $327k / year
5 months ago
Data Center Infrastructure Engineering Program Manager (Network and Whitespace)
$226k – $285k / year
5 months ago
Data Center Infrastructure Electrical Engineer
$257k – $327k / year
5 months ago
Data Analyst – Revenue & Metrics
6 months ago
Lead Data Scientist
$190k – $325k / year
6 months ago
Data Strategist – Investors
$90k – $145k / year
6 months ago
Data Scientist, Risk
6 months ago
Data Scientist, Marketing
$285k – $380k / year
6 months ago
Data Center Infrastructure Management (DCIM) Administrator – Infrastructure Operations
$98k – $135k / year
6 months ago
Data Analyst II
6 months ago
Data Analyst II
$94k – $117k / year
6 months ago
Data Analyst II
$94k – $117k / year
6 months ago
Data Scientist II (AI Deployment)
6 months ago
Data Scientist, Business
$345k – $440k / year
7 months ago
Data Scientist, Preparedness
$345k – $385k / year
7 months ago
Data Engineer (Growth Team)
7 months ago
Data Center Controls Engineer
$320k – $405k / year
8 months ago
Product Data Scientist (Client-facing)
8 months ago
Data Scientist, Marketing
$170k – $260k / year
8 months ago
Top companies hiring for Data
All 56 companies →Remote Data jobs by region
Data jobs by country
Data jobs by level
Other SaaS job functions
About these roles
Data jobs at SaaS companies
Data roles at SaaS companies cover data engineering (pipelines and warehouses), analytics and BI (dashboards, product and revenue analysis) and data science (experiments, forecasting and machine learning). Analytics engineers sit between the first two.
Pay depends heavily on level and location. Where companies publish a range, the typical role on this page lists $210k–$325k in the US (median published minimum and maximum). About 60% of the roles here include a salary; use Salary listed first to see those at the top.
Remote roles make up 25% of the openings on this page. Most remote roles are limited to a region for tax and time-zone reasons, so check the location chips before you apply.
56 SaaS companies are hiring for these roles right now, led by OpenAI, Anthropic, and Stripe.
Questions about Mid-level SaaS Data jobs
Where do these Mid-level SaaS Data jobs come from?
Every job is pulled from the company’s own hiring system (Greenhouse, Lever, Ashby or Workable) once an hour. We do not accept paid or reposted listings, so each role links back to the company’s live careers page.
What happens when I click Apply?
You go straight to the job on the company’s careers site and apply there. We never host applications and never see or store your details.
Why don’t all jobs show a salary?
We only show pay when the company publishes it in the job post. Around 60% of the roles on this page include a range today. Sort by “Salary listed first” to see those roles at the top.
How do I know a job is still open?
We check every company’s job board hourly. When a role is removed from the careers page, we remove it here within the hour and point you to similar open roles.
What does “Remote (Europe)” mean?
It means the company hires remotely but only within that region, usually for tax, contract or time-zone reasons. “Remote (Worldwide)” roles have no location restriction.
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