Analytics Engineer: Build Trusted Client Insights

Zomaron; Cikoko; Remote; IDR 1,642,636,000 - 2,372,696,000; Full time

Benefits offered by this job

Compensation tied to market data

We reward for contribution

Flexible Time-off

We’re committed to career development

Work from home

Job summary

Paystone is seeking an Analytics Engineer to centralise DataCandy’s data into trusted, actionable insights for Customer Success and Account Management. You will build data pipelines in Databricks, surface metrics in Salesforce, and develop a governed 360 view of client data to support renewals and growth.

The role emphasizes hands-on data engineering, collaboration with cross‑functional teams, and building scalable data products that inform strategic decisions.

Qualifications

• 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

Responsibilities

• 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

Skills

SQL

Python

PySpark

Databricks

Delta

Salesforce

GCP

CI/CD

Excel

Documentation

Tools

Databricks

Delta Lake

Salesforce

dbt

Git

Job description

Paystone is seeking an Analytics Engineer to centralise DataCandy’s data into trusted, actionable insights for Customer Success and Account Management. You will build data pipelines in Databricks, surface metrics in Salesforce, and develop a governed 360 view of client data to support renewals and growth.

The role emphasizes hands-on data engineering, collaboration with cross‑functional teams, and building scalable data products that inform strategic decisions.