Jane App Logo

Jane App

Staff Product Data Analyst

Posted 2 Months Ago
Remote
Hiring Remotely in US
125K-196K Annually
Senior level
Remote
Hiring Remotely in US
125K-196K Annually
Senior level
Build and maintain the product analytics data foundation: design scalable dbt models, define semantic models and governed metrics, partner with Engineering on instrumentation, certify datasets for BI tools, monitor pipelines and data quality, and use AI to accelerate analytics engineering workflows.
The summary above was generated by AI
About the Role

We're rebuilding how we manage data and analytics at Jane. Our goal is to establish a trusted data foundation that powers self-service analytics, AI, and consistent business metrics across the company.

This role is focused on Product Analytics—but not in the traditional sense of generating insights or building dashboards. Instead, you'll focus on building the technical foundation that enables Product teams to answer their own questions with confidence.

You'll partner closely with Engineering, Product, and Growth to improve product instrumentation, build scalable dbt models, standardize business logic, and create governed datasets that power reporting, experimentation, and AI. You'll also help establish the standards for how product data is modeled, tested, documented, and maintained as our analytics platform continues to evolve.

If you enjoy solving complex technical problems, building scalable data foundations, and enabling others through trusted data, this role is a great fit.

What Impact We’re Looking for You to Make
  • Build and maintain the product analytics data foundation that powers reporting, self-service, experimentation, and AI.

  • Partner with Engineering to define, implement, and validate product instrumentation before new features are released.

  • Design and maintain scalable dbt models that transform raw product events into trusted analytical datasets.

  • Build semantic models, standardized business logic, and governed metric definitions that ensure consistent product metrics across dashboards, self-service, and AI.

  • Develop certified datasets that power modern analytics and visualization platforms such as Looker, Omni, Hex, and similar technologies.

  • Partner with Product Managers to translate business requirements into scalable, trusted, and reusable analytical data models.

  • Monitor product data pipelines, identify instrumentation gaps and data quality issues, and implement scalable, long-term improvements.

  • Continuously improve how product data is modeled, governed, documented, and consumed across the analytics platform.

  • Leverage AI to accelerate analytics engineering workflows, including data modeling, testing, documentation, and code development.

What Experience We Need
  • 6+ years of experience in Product Data Analyst, Analytics Engineering, or a similarly technical data role within a SaaS or high-growth technology company.

  • Expert-level SQL skills and deep experience designing scalable analytical data models, with a strong understanding of data architecture and query performance optimization.

  • 6+ years of experience building, deploying, and maintaining dbt projects in production environments.

  • Experience modeling behavioral product data and building event-driven analytical datasets.

  • Experience partnering with Engineering teams to define product instrumentation requirements and improve the quality and reliability of product event data.

  • Experience working with Customer Data Platforms (CDPs) such as Segment or RudderStack.

  • Experience designing semantic models, reusable business logic, governed datasets, and trusted metric definitions that enable consistent analytics across multiple consumption layers.

  • Experience implementing data quality testing, documentation, observability, and governance best practices.

  • Experience building or supporting modern analytics and visualization platforms such as Looker, Omni, Hex, Sigma, or similar technologies.

  • Strong understanding of how semantic models and governed metrics are consumed across dashboards, self-service analytics, and AI experiences.

  • Experience working with modern cloud data platforms such as Snowflake, BigQuery, or Redshift.

  • Experience using AI tools such as Cursor, Claude Code, or similar technologies to improve analytics engineering workflows.

  • Strong communication skills and the ability to partner effectively with Engineering, Product, Analytics, and business stakeholders.

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 with a remote-first team working across Canada, the US, and the UK, united by our mission to help the helpers. This role is remote first. We are not hybrid.
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 plays an important role in how we show up for our customers. We're all responsible for being deeply connected to their needs, obsessed with improving their experience, and proud of the difference our work makes in their day-to-day lives.
Jane is growing fast, and that growth brings exciting challenges that call for adaptability, resilience, learning agility, and humility. We're proud of what we've built and quick to admit what we don't know yet. We listen, learn, and adjust as we go. More than 70,000 businesses run on Jane which has 250,000+ practitioners interacting with our product on a daily basis and growth is continuing to accelerate.
Our goal isn't just delivery - it's delight. We move quickly, communicate openly, and solve real problems together. If you're energized by ambiguity, motivated by impact, and eager to learn with others, you'll thrive at Jane.

Compensation & Benefits

At Jane, we believe in paying fairly, clearly, and for growth. Our salary bands are intentionally wide — reflecting the full journey someone takes in a role, with real room to grow as your impact deepens over time.

Most new hires join at the accomplished stage, with salaries above that typically reflecting existing team members who've made significant impact and built deep Jane-specific knowledge. For this role, accomplished looks like:

  • 🇨🇦 Canada: $125,200 – $195,600 (accomplished: ~$148,700 CAD)

  • 🇺🇸 United States: $116,800– $182,500 USD (accomplished: ~$138,700)

This role also includes equity through our JSOP (Jane Stock Option Plan). Our stock has grown 11x over the past six years, with three opportunities to exercise options along the way. Jane was valued at $1.8B in May 2025, and with the backing of TCV, we have ambitious plans ahead.

You can explore our benefits package here: Canadian Benefits · US Benefits

We look forward to hearing from you.


Jane takes job scams and candidate fraud seriously. Jane will only contact you from an @jane.app email address. We'll never contact you from a personal email, ask for payment, or request purchases during the hiring process. If something doesn't seem right, please reach out to us at [email protected] before sharing any personal information.

Similar Jobs

An Hour Ago
Remote
United States
174K-261K Annually
Senior level
174K-261K Annually
Senior level
Artificial Intelligence • Productivity • Software • Automation
Secure Zapier’s production infrastructure by identifying and mitigating risks, hardening cloud environments, improving Terraform and CI/CD security, managing vulnerability and misconfiguration tools, enforcing least-privilege access, strengthening data governance, hardening Kubernetes images, and supporting incident response. The role collaborates with Platform, Engineering, and Security teams in a remote-first environment.
Top Skills: AWSCi/CdCloudFormationDockerGoInfrastructure-As-CodeJavaScriptKubernetesPythonTerraformWiz
2 Hours Ago
Remote
Senior level
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Own Dropbox’s lifecycle marketing strategy across onboarding, engagement, retention, monetization, expansion, cross-sell, and re-engagement. Lead and develop a team, build scalable customer programs, establish experimentation and measurement practices, and partner cross-functionally to improve adoption, retention, and revenue. Develop the operating model, prioritization framework, governance, and technical capabilities needed to execute lifecycle marketing at scale.
Top Skills: Campaign Orchestration SystemsCrm SystemsCustomer Data PlatformsIterableMarketing Automation Platforms
3 Hours Ago
Easy Apply
Remote
United States
Easy Apply
279K-349K Annually
Senior level
279K-349K Annually
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Leads the engineering organization responsible for GitLab Dedicated, a single-tenant enterprise SaaS platform. Owns strategy, roadmap, reliability, compliance, infrastructure investments, customer migrations, and enterprise-grade SLAs. Oversees distributed engineering managers and teams across orchestration, resilience, control-plane APIs, public-sector platforms, FedRAMP readiness, AWS GovCloud, and migration tooling. Partners with executives, Product, Security, and Support while scaling the organization, improving operational efficiency, and incorporating AI-enabled engineering workflows.
Top Skills: Ai-Enabled WorkflowsAPIsAws GovcloudCellular ArchitecturesDevsecopsGeo ReplicationGitlabGitlab DedicatedInfrastructure As CodeSaaS

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account