Role Overview
As an Analytics Engineer at Paystone, you will help establish and own DataCandy’s customer data foundation, centralizing product, client, commercial, and lifecycle data in Databricks, developing consistent business metrics, and surfacing meaningful insights through Salesforce.
What You Will Do
Build and maintain reliable data pipelines and models across Salesforce, transaction, product, onboarding, renewal, pricing, and support data. 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.
Why It Might Be a Fit
This role gives you the opportunity to help build a data foundation from the ground up and directly influence how the business uses data to manage and support its clients. You will have the opportunity to design scalable solutions, automate manual processes, and create data products that directly support business decision-making.
Requirements
- 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
Benefits
- Compensation tied to market data
- Flexible Time-off
- We’re committed to career development
- Work from home
To apply for this job please visit paystone.applytojob.com.
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