{"id":513932,"url":"https://alion.io/job/paystone-analytics-engineer-paystone-2","title":"Analytics Engineer - Paystone","company":{"id":58261,"name":"Paystone","domain":"paystone.com","url":"https://alion.io/company/paystone","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_company_offices","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":52000,"max_usd":110000,"period":"year","method":"global_role_seniority_cell","sample_n":1679},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"dbt","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-07T17:10:01Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-10-25T17:00:14Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"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.\nAs 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.\nWe 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.\nThe Role\nThis 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.\nWhat You’ll Do\nBuild and maintain reliable data pipelines and models across Salesforce, transaction, product, onboarding, renewal, pricing and support data.\nDevelop and maintain a governed Client 360view connecting accounts, locations, products, commercial terms, adoption and revenue performance.\nDefine and document trusted metrics for GRR, NRR, churn, client health, time-to-value and renewal risk.\nDevelop automated client health scoring and renewal-risk triggers across the customer portfolio.\nSurface clear, actionable client insights in Salesforce to support Customer Success and Account Management teams.\nPrepare governed, high-quality datasets to support AI and agentic workflows.\nWhat You’ll Bring\n2-4+ years of experience in analytics engineering, data engineering or a related field.\nStrong SQL skills and solid working knowledge of Python.\nHands-on experience with PySpark and Databricks, including Delta, Jobs and Workflows.\nCloud platform experience, with GCP preferred.\nExperience with version control, code review, CI/CD and infrastructure as code.\nPractical experience using AI coding assistants and agentic workflows.\nStrong Excel skills for ad hoc analysis and reporting.\nStrong written English and the ability to clearly document technical work.\nNice to Have\nExperience with any of the following would be an advantage:\nSalesforce data models\nSaaS retention and customer health metrics\ndbt\nPayments, loyalty or B2B SaaS environments\nWhy Join Paystone?\nThis 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.\nYou will have the opportunity to design scalable solutions, automate manual processes and create data products that directly support business decision-making.\nIf you are excited by the opportunity to build, automate and create rather than simply maintain, we would like to hear from you.\nPerks & Benefits\nCompensation tied to market data\nWe reward for contribution\nFlexible Time-off\nWe’re committed to career development\nWork from home\nOur Mission\nBy joining Paystone, you are joining a team that is future-focused and driven by our mission of creating Customer Driven Growth.\nBy 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.\nCurious?\nGood! 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.\nCome check us out!!\npaystone.com\ndatacandy.com\nget.nicejob.com\nAbout Us\nPaystone 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.\n**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.**","description_format":"text","description_chars":4844,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Growth opportunities"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Gift Cards & Loyalty Programs","Loyalty Programs","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-09-07T17:10:01Z"}],"visa":[],"liveness":{"score":17,"band":"cold","label":"Long shot","p_open":1,"p_active":0.474,"p_room":0.36,"age_days":47,"expected_fill_days":30,"reasons":["conf:1","win:tail","crowd:junior"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/paystone-analytics-engineer-paystone-2","json_url":"https://alion.io/job/paystone-analytics-engineer-paystone-2.json","meta":{"generated_at":"2026-10-25T18:56:01Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":26875,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":58261},"rest":"https://alion.io/mcp/rest/get_company?id=58261"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpaystone-analytics-engineer-paystone-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpaystone-analytics-engineer-paystone-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpaystone-analytics-engineer-paystone-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/paystone-analytics-engineer-paystone-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpaystone-analytics-engineer-paystone-2"}]}