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Analytics Engineer (Remote)

Paystone

Remote
Full-time
Mid Level
2+ yrs
Salary not listedPosted 1w ago

Real job — pulled straight from Paystone’s careers page · Verified September 9, 2026 · No reposts.

Job description

Paystone is hiring a Analytics Engineer (Remote) — a full-time, remote role. Apply directly on Paystone's careers page below.

Analytics Engineer

Location: Remote

At Paystone, we build technology that helps businesses strengthen customer relationships and drive sustainable growth. Our integrated suite of payment and software solutions brings together payment processing, loyalty, gift cards and reputation marketing, supporting thousands of merchants across North America.

As part of Paystone’s suite of products, DataCandy powers gift card and loyalty programmes for thousands of merchants. Every activation, redemption and top-up generates valuable data that can be transformed into meaningful insights about client performance, customer engagement and growth opportunities.

We are looking for an Analytics Engineer to bring this 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.

The Role

This is a hands-on, build role, where you will help establish and own DataCandy’s customer data foundation. You will centralise product, client, commercial and lifecycle data in Databricks, develop consistent business metrics, and surface meaningful insights through Salesforce to help teams identify opportunities, risks and priorities.

What You’ll 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.
  • 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.

What You’ll Bring

  • 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.

Nice to Have

Experience with any of the following would be an advantage:

  • Salesforce data models
  • SaaS retention and customer health metrics
  • dbt
  • Payments, loyalty or B2B SaaS environments

Why Join Paystone?

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.

If you are excited by the opportunity to build, automate and create rather than simply maintain, we would like to hear from you.

Perks & Benefits

  • Compensation tied to market data
  • We reward for contribution
  • Flexible Time-off
  • We’re committed to career development
  • Work from home

Our Mission

By joining Paystone, you are joining a team that is future-focused and driven by our mission of creating Customer Driven Growth.

By helping our clients create better experiences for their customers, and in turn, motivating their happy customers to share their experiences with others, our platform creates the momentum for our clients to gain more happy customers. In other words, we win when our customers do.

Curious?

Good! We want all the curiosity we can muster. Innovation stems from observation and questioning, so be eager, be innovative, and be ready to raise the bar.

Come check us out!!

paystone.com
datacandy.com
get.nicejob.com

About Us

Paystone is a leading North American payment and software company redefining the way merchants engage their customers and grow their businesses. The company's seamlessly integrated suite of automated payment processing, customer loyalty, gift card solutions, and now reputation marketing, is used by brands such as Irving Oil, The Source, Global Pet Foods, Kernels Popcorn, and many of the MTY Food Group's restaurant brands. Paystone's solutions are used at over 30,000 locations across Canada and the United States which collectively process over 10 billion dollars a year in bankcard volume. We employ over 200 employees and serve as the technology partner of choice for hundreds of partners across North America.

**Paystone is an equal opportunity employer. Should you require any accommodations due to disability please let us know at the time you are selected for an interview.**


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Frequently asked questions

Is Analytics Engineer (Remote) at Paystone a remote job?

Yes, Analytics Engineer (Remote) at Paystone is a remote position. This role is open to remote candidates.

What skills are required for Analytics Engineer (Remote) at Paystone?

The required skills for Analytics Engineer (Remote) at Paystone include: SQL, Python, Spark, Databricks, GCP, Excel, Salesforce, dbt.

What is the seniority level for Analytics Engineer (Remote) at Paystone?

Analytics Engineer (Remote) at Paystone is a Mid Level level position.

How do I apply for Analytics Engineer (Remote) at Paystone?

You can view the full description and apply for Analytics Engineer (Remote) at Paystone on EchoJobs: https://echojobs.io/job/paystone-analytics-engineer-1595s.