Role Overview
We are looking for an Analytics Engineer to bring data together and turn it into trusted, actionable insights that help our Customer Success and Account Management teams make informed decisions, identify opportunities and better support our clients.
What You Will Do
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.
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.
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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