Data and analytics have moved from cost centers to competitive advantages at SaaS companies. The teams that understand product usage, customer health, and revenue patterns fastest make better decisions—and in a market where differentiation is hard, that speed compounds. SaaS companies are investing heavily, and the hiring reflects it.
Why Are SaaS Companies Hiring So Many Data Roles?
Three converging forces: AI products that require training data and evaluation infrastructure, investor pressure to show net revenue retention and product-led growth metrics, and the adoption of the modern data stack (dbt, Snowflake, Fivetran, Looker) that makes it possible to hire data talent without a massive infrastructure team. SaaS companies can now build serious data capabilities with small, high-skill teams.
Which SaaS Companies Are Hiring Data & Analytics Roles?
- Sigma Computing — 71 open roles; cloud-native analytics platform built for business teams. Hiring data engineers, analytics engineers, and solutions engineers who understand the modern BI stack deeply.
- Hightouch — 66 open roles; reverse ETL and AI activation platform. Hiring data engineers and analytics engineers with deep experience in warehouse-native architectures.
- Dozens of additional SaaS companies on Employbl are actively hiring data analysts, product analysts, and data scientists.
What Data & Analytics Roles Are Most In-Demand?
- Analytics Engineer — the dbt-native role bridging data engineering and analysis; one of the highest-demand data roles in SaaS right now.
- Data Engineer — building and maintaining pipelines, warehouse infrastructure, and real-time data systems that feed analytics and ML models.
- Product Analyst — partnering with PMs to instrument features, interpret funnel data, and prioritize roadmap decisions with quantitative evidence.
- Data Scientist (ML) — building churn prediction, recommendation systems, and pricing optimization models that directly impact revenue.
Salaries for Data & Analytics Roles at SaaS Companies
Analytics engineers and data engineers at SaaS companies typically earn $130K–$185K base in 2026, with total comp reaching $200K+ at growth-stage companies with equity. Senior data scientists and staff data engineers command $180K–$260K total comp, particularly at companies where data is central to the product itself (like Sigma Computing or Hightouch).
Find Data & Analytics Jobs at SaaS Companies
Browse the full list of SaaS companies on Employbl and filter by role type to surface data engineering jobs and analytics roles. Each company profile includes funding history, headcount, and all open positions so you can target companies at the right growth stage for your career.