Senior/Staff Product Analyst
New
CanadaFull-TimeSenior
SalaryCompetitive total compensation package aligned with senior/staff-level market benchmarks in Canada.
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLTableauProduct AnalyticsData modelingA/B testingLooker
Requirements
- 5+ years of experience in Product Analytics, Decision Science, Data Science, or a similar analytical role in a product-driven organization.
- Advanced SQL skills with strong experience analyzing large-scale product or transactional datasets.
- Proficiency in Python for statistical analysis, experimentation, modeling, or data exploration.
- Strong understanding of experimentation frameworks, product analytics, and decision science methodologies.
- Experience building analytical frameworks that directly inform product and business strategy.
- Proven ability to lead ambiguous, high-impact analytical projects independently from definition to execution.
- Strong communication skills with experience influencing Product, Engineering, and business stakeholders.
- Experience with BI and data visualization tools such as Looker, Tableau, or similar platforms.
- Comfort operating in fast-paced, data-driven environments such as fintech or technology companies.
Responsibilities
- Partner with Product and Engineering leaders to influence product strategy through advanced analytical insights and structured decision frameworks.
- Lead end-to-end analytical initiatives, from defining ambiguous business problems to delivering actionable recommendations and supporting implementation.
- Build and maintain analytical models that evaluate trade-offs across pricing, risk, conversion, profitability, and customer outcomes.
- Design, execute, and evaluate experiments such as A/B tests focused on pricing optimization and conversion improvements.
- Translate complex and ambiguous business questions into structured analytical approaches with clear success metrics.
- Identify strategic product opportunities and operational inefficiencies through deep analysis of large-scale transactional and behavioral datasets.
- Communicate insights and recommendations to senior stakeholders and influence product roadmap decisions through data storytelling.
- Collaborate cross-functionally with Product, Engineering, Finance, and GTM teams to operationalize data-driven decisions.
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