Analytics Engineer

2–5 years of experience in a Data Engineering or Analytics Engineering role Strong grasp of the modern data stack: dbt, Fivetran, Snowflake, BigQuery, Redshift, etc. Strong SQL skills and data modeling experience Solid proficiency in Python or a similar scripting language Experience working with or building data models in BI tools like Tableau or Looker Familiarity with B2B SaaS metrics and how to structure data for recurring revenue businesses Proven ability to implement and scale data pipelines and architecture from scratch Clear communication and a collaborative mindset

Architect, implement, and maintain Rollstack’s data stack end-to-end Build and scale data pipelines that feed internal analytics and product features Connect, extract, and normalize data from key systems (CRM, billing, BI, product) Implement observability, governance, and quality checks to ensure trust in data Support our product and GTM teams with dashboards, usage analytics, and business KPIs Create internal tooling to surface key SaaS metrics such as ARR, churn, retention, activation, engagement, and sync volume Work with BI tools like Tableau, Power BI, and Looker to support user-facing workflows Ensure compliance with data security and privacy standards