Analytics Engineer

Before you apply

Job source

Himalayas

Applying on

himalayas.app

Workplace

Fully remote

US state

Nationwide remote

Category

Customer Service

Link last checked

Not checked yet

Posted

2 weeks ago

Closes

10/30/2026

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About the role

About DataCandy DataCandy powers gift card and loyalty programmes for thousands of merchants across North America. Every activation, redemption and top-up provides valuable insight into how our clients are performing and growing. We are looking for an Analytics Engineer to bring that data together and transform it into trusted, actionable insights that support our Customer Success and Account Management teams. 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 DataCandy? 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!! 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 p

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