Product Analytics Manager

The Product Analytics Manager will

• Design, run, and analyze experiments; including navigating the real constraints of a SaaS environment: low traffic, small samples, multiple concurrent product changes, and the temptation to call significance too early
• Apply causal inference methods where clean A/B testing isn't possible; difference-in-differences, regression discontinuity, synthetic controls, CUPED/variance reduction techniques
• Build customer segmentation and lifecycle models that feed directly into product and GTM decisions, not just sit in a dashboard
• Partner with Product, Design, and GTM stakeholders to translate ambiguous business questions into analytical plans; and push back when the question itself needs reframing
• Develop scenario and sensitivity models that let business leaders stress-test assumptions before committing to a strategy
• Contribute to Jobber's experimentation culture by consulting on experimental design, statistical best practices, and measurement frameworks across teams
• Work with Analytics Engineering to define data requirements and ensure the instrumentation exists to answer the questions that matter
• Support experimentation initiatives by providing requirements for experimental design and successful measurement and Jobber’s general culture of experimentation by providing consultation on best practices (e.g. applied statistics, tooling, quantity of experiments, importance statistical significance).

To be successful, you should have

• Deep, hands-on experience in product analytics for a SaaS or marketplace product you've worked in a product development cycle, not just reported on outcomes after the fact
• End-to-end experimentation experience: you've designed the test, chosen the metrics, monitored for novelty effects, handled early-stopping decisions, and communicated the results to a non-technical audience
• Fluency with causal inference - you understand when an A/B test isn't possible or appropriate, and you have a toolkit for those situations
• Strong analytical SQL: complex joins, window functions, cohort analysis, funnel construction; you write it to think, not just to pull data
• The ability to simplify without losing accuracy, you can take a technically complex result and give a stakeholder exactly what they need to make a decision, nothing more
• Comfort with uncertainty: you communicate confidence intervals, flag where signal is thin, and push back on requests for false precision

You should also

• Python for analysis and modeling, pandas, statsmodels, scikit-learn
• Bayesian methods or probabilistic modeling for situations where frequentist approaches don't fit
• Experience with Monte Carlo simulation or scenario modeling for business planning problems
• Informal leadership experience, mentoring peers, running knowledge-sharing sessions, helping junior analysts level up, even without a formal title
• Foster a collaborative and supportive work environment by actively participating in knowledge-sharing sessions and seizing opportunities to mentor and guide peers, contributing to the professional growth and development of the team.
• Be curious and relentless. You are comfortable seeking information independently, solving conceptual problems, corralling resources and delivering results.
• To have a strong and confident communication style. You have the ability to actively listen, empathize and consult with stakeholders, and you can take something complex and difficult and make it easy to digest.
• Be comfortable in an ambiguous and fast-paced environment. We’re growing fast and things are changing every day – what worked yesterday might not anymore.

Location:We believe great collaboration is intentional, and sometimes that means coming together in person to build, brainstorm, and connect. To support this, the role is open to candidates based in one of our hub cities: Edmonton, Toronto, Vancouver, or Kitchener-Waterloo.

Compensation:At Jobber, we believe that compensation should be transparent, fair, and reflective of your experience and growth. This role has a minimum annual salary of $121,000, a midpoint of $142,200, and a maximum salary of $163,600, designed to show the progression from learning the ropes to truly excelling.

We design our compensation to reflect each new hire’s skills, experience against the complexity of the role, ensuring a fair and competitive salary. Our range is intentionally broad to support growth and long-term impact, with fully established hires typically starting around the midpoint. The higher end of the range is reserved for those who have demonstrated deep expertise and lasting contributions, while offers below the midpoint reflect strong potential with room to develop. This approach ensures that compensation aligns with both an individual’s current capabilities and their opportunity for future growth.

Base salary is just one part of a total compensation package that will include equity rewards, annual stipends for health and wellness, retirement savings matching, and an extended health package with fully paid premiums for body and mind. Your professional growth matters to us too! You’ll have access to a dedicated talent development program that includes career coaching and opportunities for career development.

We believe in transparency and open conversations about compensation. If you have any questions about our approach, we’re happy to discuss them throughout the hiring process!

What you can expect from Jobber

• A total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind, matching in RRSP, TFSA or FHSA, and stock options.
• A dedicated Talent Development team and access to coaching, learning, and leadership programs to help you grow your career, reach your goals, and unlock your full potential.
• A unique opportunity to build, grow, and leave your impact on a $400-billion industry that has no dominant player...yet.
• To work with a group of people who are humble, supportive, and give a sh*t about our customers.

We believe that diverse teams perform better and that fostering an inclusive work environment is a key part of growing a successful team. We welcome people of diverse backgrounds, experiences, and perspectives. We are an equal opportunity employer, and we are committed to working with applicants requesting accommodation at any stage of the hiring process.