Jobber

3 months ago

Product Analytics Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Product Analytics Manager at Jobber leads analytical initiatives to advance subscription product capabilities (desktop & Mobile App), user experience, and product marketing strategy. You’ll own a product domain from framing questions to delivering actionable recommendations, partnering with Product, Design, and GTM stakeholders, while developing experimentation, segmentation, and data instrumentation to drive business outcomes in a SaaS context.

Location: Toronto

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Own a product domain analytically from framing the question to the recommendation that lands in a product or GTM decision
•Design, run, and analyze experiments; navigate low-traffic SaaS constraints and multiple concurrent product changes
•Apply causal inference methods when clean A/B testing isn’t possible (difference-in-differences, regression discontinuity, synthetic controls, CUPED)
•Build customer segmentation and lifecycle models feeding product and GTM decisions
•Partner with Product, Design, and GTM stakeholders to translate ambiguous business questions into analytical plans

Pay and Benefits

Salary: USD 121,000 - 163,600 annually

Perks:Health InsuranceDentalVision401kEquity

Key Requirements

•Deep, hands-on experience in product analytics for a SaaS or marketplace product within a product development cycle
•End-to-end experimentation experience: design tests, monitor novelty effects, and communicate results to non-technical audiences
•Fluency with causal inference and a toolkit for cases where traditional A/B tests aren’t possible
•Strong SQL skills with the ability to write complex joins, window functions, and cohort analyses
•Proven ability to simplify complex results and communicate actionable insights to stakeholders

Experience:SaaSProduct analytics

Skills:CommunicationProblem-solvingTeamworkCuriosityMentorship

Tech Stack:SQLPythonPandasStatsmodelsScikit-learnBayesian methodsMonte Carlo simulation

Company Brief

Jobber

Provides cloud-based business management software for home and field service businesses to manage quoting, scheduling, invoicing, payments, and client communications, serving hundreds of thousands of service professionals worldwide.

Industry: Enterprise Software

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series D

Headquarters: Edmonton, Canada

Founded: 2011

Glassdoor: 3.5

Website LinkedIn Glassdoor

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Jobber

3 months ago

Product Analytics Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Toronto

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Own a product domain analytically from framing the question to the recommendation that lands in a product or GTM decision
•Design, run, and analyze experiments; navigate low-traffic SaaS constraints and multiple concurrent product changes
•Apply causal inference methods when clean A/B testing isn’t possible (difference-in-differences, regression discontinuity, synthetic controls, CUPED)
•Build customer segmentation and lifecycle models feeding product and GTM decisions
•Partner with Product, Design, and GTM stakeholders to translate ambiguous business questions into analytical plans

Pay and Benefits

Salary: USD 121,000 - 163,600 annually

Perks:Health InsuranceDentalVision401kEquity

Key Requirements

•Deep, hands-on experience in product analytics for a SaaS or marketplace product within a product development cycle
•End-to-end experimentation experience: design tests, monitor novelty effects, and communicate results to non-technical audiences
•Fluency with causal inference and a toolkit for cases where traditional A/B tests aren’t possible
•Strong SQL skills with the ability to write complex joins, window functions, and cohort analyses
•Proven ability to simplify complex results and communicate actionable insights to stakeholders

Experience:SaaSProduct analytics

Skills:CommunicationProblem-solvingTeamworkCuriosityMentorship

Tech Stack:SQLPythonPandasStatsmodelsScikit-learnBayesian methodsMonte Carlo simulation

Company Brief

Jobber

Industry: Enterprise Software

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series D

Headquarters: Edmonton, Canada

Founded: 2011

Glassdoor: 3.5

Website LinkedIn Glassdoor