Trách nhiệm chính

Build and maintain reliable data pipelines and models across Salesforce, transaction, product, onboarding, renewal, pricing and support data.
Develop and maintain a governed Client 360 view connecting accounts, locations, products, commercial terms, adoption and revenue performance.
Define and document trusted metrics for GRR, NRR, churn, client health, time-to-value and renewal risk.
Develop automated client health scoring and renewal-risk triggers across the customer portfolio.
Surface clear, actionable client insights in Salesforce to support Customer Success and Account Management teams.
Prepare governed, high-quality datasets to support AI and agentic workflows.

Yêu cầu công việc

2–4+ years of experience in analytics engineering, data engineering or a related field.
Strong SQL skills and solid working knowledge of Python.
Hands-on experience with PySpark and Databricks, including Delta, Jobs and Workflows.
Cloud platform experience, with GCP preferred.
Experience with version control, code review, CI/CD and infrastructure as code.
Practical experience using AI coding assistants and agentic workflows.
Strong Excel skills for ad hoc analysis and reporting.
Strong written English and the ability to clearly document technical work.

Yêu cầu ưu tiên

Mức lương

Phúc lợi

Hình thức làm việc

Thông tin khác

Paystone is an equal opportunity employer.
Accommodation is available for candidates with disabilities during the interview process.

Analytics Engineer