Senior Analytics Developer

Job not on LinkedIn

🔥 8 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Stay22

WebsiteLinkedInAll Job Openings

11 - 50 employees

🍽️ Food & Beverage

📦 Logistics

🏨 Hospitality

💰 Seed Round on 2019-03

Food & Beverage • Logistics • Hospitality

Stay22 is a company that assists travel content creators in monetizing their content through AI-powered affiliate tools. By integrating Stay22's solutions, such as AI Booking Agent and Let Me Allez, content creators can increase their revenue through affiliate links and bookings. Stay22 is known for its user-friendly integration process and human-focused support, ensuring partners have access to real customer service representatives rather than chatbots. Additionally, Stay22 provides interactive maps and affiliate solutions to enhance travel content, making it a preferred choice for travel bloggers and content creators seeking to boost their passive income.

📋 Description

• Design, build, and evolve scalable analytical models and transformation workflows using SQL, dbt, Dagster, and modern warehouse patterns • Define model grain, entities, keys, join paths, facts, dimensions, snapshots, incremental strategies, and materializations • Translate business concepts into reusable metrics, semantic definitions, and analytical datasets for BI, experimentation, product analytics, and AI-enabled workflows • Partner with Product, Development, Revenue, Marketing, Operations, and Analytics teams on instrumentation, funnels, activation, engagement, conversion, retention, attribution, and revenue metrics • Build and maintain reliable ELT and transformation workflows from internal and third-party sources • Apply data quality tests, freshness checks, observability, lineage, documentation, governance, version control, CI/CD, and automated validation • Investigate product and business performance, explain changes, identify opportunities, recommend next steps, and optimize performance, scalability, cost, and freshness • Create machine-readable business context • Use AI coding assistants and agentic workflows for exploration, SQL and Python scaffolding, refactoring, test generation, documentation, and impact analysis • Validate AI-generated code and analytical logic through profiling, testing, lineage, impact and performance checks, and human review • Mentor developers and analysts on modelling, SQL quality, metric design, testing, documentation, stakeholder discovery, and responsible AI-augmented development

🎯 Requirements

• English proficiency required for daily communication with international colleagues and partners • 5+ years of experience in analytics development, data development, BI development, or a closely related role • Advanced SQL skills • Strong relational and dimensional modelling expertise, including grain, keys, joins, facts, dimensions, incremental processing, and performance trade-offs • Hands-on experience building production transformation projects with dbt or a comparable framework on a modern cloud warehouse or lakehouse such as Snowflake • Experience applying tests, documentation, lineage, version control, CI/CD, observability, governance, privacy, and access controls to analytical data products • Ability to define and govern business metrics, semantic models, and reusable datasets used by multiple teams or products • Strong product and business acumen • Proficiency in Python and AI-assisted or agentic development workflows • Ability to validate AI-assisted outputs through testing, profiling, review, and business context • Excellent communication and collaboration skills • Ability to explain modelling choices, analytical trade-offs, and data limitations to non-technical stakeholders

🏖️ Benefits

• Cafeteria allowance • Full gym access • Rooftop terrace with seasonal basketball/pickleball court and hockey rink • Health and dental coverage • RRSP matching • Fully paid STM pass • Regular team socials, events, and retreats • Flexible schedules • Work-from-anywhere opportunities • Year-end shutdown • Flex days

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