Staff Analytics Engineer

ABOUT THE ROLE Hi, I'm Aurobind https://www.linkedin.com/in/aurobind-ravichandran/, Head of IT, Systems and Data at Jane. I joined six weeks ago, and I'm already deep into the kind of problems I like best: ones with no single obvious answer. Our BI team works with stakeholders across Marketing, Sales, Support, Product, and beyond, maintaining, analyzing, and visualizing data from billing and revenue systems, our central CRM, product event tracking, and support operations. As Jane's systems and business complexity keep growing, this team is central to how the rest of the company makes sense of it all. I genuinely enjoy solving hard problems. Whether it's designing an operating model, evaluating a new technology, or figuring out how a piece of architecture should really work, I gravitate toward understanding things deeply and making them better. This role is meaningful because you'll be one of the people shaping how Jane accesses and trusts its own data. You'll define the standards and governance that keep our systems reliable as we scale, and help evolve our architecture toward a more self-service, AI-augmented approach. If you like building the foundation other people rely on without always seeing it, this is a great place to do that work. WHAT IMPACT WE’RE LOOKING FOR YOU TO MAKE - Build and operate the core BI platform that powers reporting, analytics, self-service, and AI across Jane. - Own data ingestion, integration, and platform architecture, making thoughtful trade-offs as our systems evolve. - Build and maintain enterprise data models, reusable business logic, and semantic layer definitions that serve as the foundation for trusted analytics. - Establish standards for data quality, testing, governance, observability, documentation, and CI/CD across the analytics platform. - Monitor the health of the analytics platform, identify pipeline failures and recurring issues, and implement scalable, long-term solutions to improve reliability. - Review and certify data pipelines, data models, semantic layer definitions, and data products before they are consumed by the business. - Mentor Analytics Engineers through code reviews, design reviews, and engineering best practices. WHAT EXPERIENCE WE NEED - 6+ years of professional experience in analytics engineering or a similarly technical data analytics role, preferably within a SaaS or high-tech environment. - Expert-level SQL proficiency and deep data modeling experience, with a proven ability to write performant queries and understand the architectural trade-offs behind database design decisions. - 6+ years of hands-on experience building, deploying, and maintaining modular data pipelines using dbt in a production environment, with real comfort in production git workflows (branching, merging, pull request reviews) and automated data quality testing. - Proven experience designing schemas and optimizing query performance on modern cloud data platforms such as Snowflake, Redshift, or BigQuery. - Experience implementing data observability platforms, plus experience using AI to build and improve dbt workflows. - Experience using AI tools to improve the analytics engineering development process, including accelerating data modeling, testing, documentation, and code development. - Experience designing semantic models and enabling self-service analytics through governed datasets, reusable business logic, and trusted metric definitions. If you don’t meet every single qualification but are excited about this role, we’d still love to hear from you. MORE ABOUT JANE Jane is a founder-led, high-growth SaaS company born in North Vancouver, British Columbia. We’re now a team of more than 800 people working remotely across Canada, the US, and the UK, united by our mission to help the helpers. We build the products and tools that thousands of clinics rely on every day to run their businesses, care for their patients, and grow their communities. That level of impact means every person at Jane play…