1 день назад
Senior Customer Analytics Manager (SaaS)
151 200 - 204 500CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Customer Analytics Manager (SaaS): Leading customer analytics across acquisition, engagement, monetization, retention, expansion, and long-term customer value with an accent on strategic insight, experimentation, and executive-ready communication. Focus on designing measurement frameworks, applying forecasting and predictive analytics, and building scalable AI-enabled reporting and decision tools.
Location: Hybrid, based in Edmonton, Toronto, Vancouver, or Kitchener-Waterloo, Canada; office attendance at least 1 day per week
Salary: CAD 151,200–204,500 annual base salary, plus equity, stipends, retirement matching, and health benefits
Company
provides SaaS technology that helps home service businesses connect with customers, manage operations, invoice, and receive payments.
What you will do
- Lead strategic customer analytics across acquisition, onboarding, engagement, product adoption, monetization, retention, expansion, and customer value.
- Partner with business leaders and cross-functional teams to define KPIs, evaluate initiatives, support planning, and improve resource allocation.
- Design measurement strategies for experiments, pilots, campaigns, lifecycle programs, product initiatives, and operational changes.
- Apply forecasting, segmentation, scenario analysis, simulation modelling, impact evaluation, and predictive analytics.
- Present executive-ready insights, recommendations, dashboards, and decision frameworks.
- Build scalable dashboards, models, self-serve capabilities, and AI-assisted analytics workflows while improving documentation, QA, and data quality.
Requirements
- Expert-level SQL skills across complex relational data structures.
- Strong experience in B2B SaaS, marketplace, fintech, revenue, growth, product, customer, or go-to-market analytics.
- Deep understanding of SaaS customer journey metrics, including conversion, activation, engagement, retention, expansion, monetization, and customer value.
- Proficiency with BI and visualization tools such as Tableau.
- Experience with experimentation, forecasting, impact evaluation, scenario analysis, simulation modelling, and predictive analytics.
- Strong business acumen, stakeholder management, communication, mentoring, and leadership-through-influence skills.
Nice to have
- Experience with Python, dbt, Snowflake, Salesforce or other CRM systems, data modelling, and productionized analytics workflows.
Culture & Benefits
- Hybrid collaboration with intentional in-person connection.
- Extended health benefits with fully paid premiums for physical and mental wellbeing.
- RRSP, TFSA, or FHSA matching and stock options.
- Talent development, coaching, learning, and leadership programs.
- Inclusive workplace with accommodation support throughout the hiring process.
Hiring process
- Interview process may include an in-person interview at the nearest office, with pre-approved travel expenses covered.
- Employment is conditional on successfully completing an identity-verification background check.
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