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Sr. Product Insights Analyst
Company | Versapay |
Address | Canada |
Employment type | FULL_TIME |
Salary | |
Category | Financial Services |
Expires | 2023-07-28 |
Posted at | 10 months ago |
About Versapay 🚀
- Efficiency and Innovation: Continuously explore and implement innovative tools and processes to automate manual efforts and improve team efficiency.
- Leadership Collaboration: Engage with product and analytics leadership to develop a comprehensive vision, roadmap, and prioritization framework. Create measurement frameworks, including metrics, dashboards, and visualizations, that help measure product health and success.
- Data Quality and Collaboration: Collaborate with product and engineering teams to improve event tracking and data quality across our product suite.
- Data-Driven Testing: Create and maintain A/B testing framework. Design frameworks that enable product managers to make data-driven decisions and automate insights generation.
- Partnership: Serve as the analytical and technical thought partner to stakeholders across product, analytics, and data science teams. Collaborate with the broader data organization to improve overall technological craftsmanship.
- Actionable Insights and User Understanding: Generate recommendations and insights from systematic analysis of product features and user flows. Deeply understand how customers use our products at different stages of adoption. Identify pain points and construct advanced models that provide meaningful recommendations.
- Product Expertise and Customer Focus: Become an expert across the Versapay product suite. Immerse yourself in our product suite and passionately understand our customers by adopting their perspective.
- Technical competency: Advanced SQL skills, proficiency with Python/R, and experience with BI tools (e.g., Tableau, Power BI) are table stakes
- Experience supporting Product Managers or embedded within a Product team.
- Degree in quantitative field and 5+ years of experience using data to facilitate product decisions.
- (Preferred) – Familiarity with product analytics tools, like Mixpanel, Heap, or Amplitude.
- (Preferred) – Prior experience in the payments industry or payment ecosystem (e.g., payments processing, acquiring, or technology).
- Empathetic collaboration: Assertive with humility — able to communicate both persuasively and positively. Maintain high standards for verbal and written communication. Demonstrated ability to present complex ideas to technical and business audiences.
- “Builder” mentality: An ability to thrive in ambiguous environments with a track record of defining and executing net new initiatives. A desire to solve puzzles with no obvious path forward.
- (Preferred) – Practical experience working with cloud-based data warehouses (e.g., Snowflake, Google BigQuery, Azure Synapse).
- Intellectual curiosity: A profound sense of ownership, passion for data, and an unquenchable curiosity. A love for learning and exposure to new ideas, technologies, and techniques.
- Demonstrated knowledge of statistical methods, techniques, formulas, and tests, experience developing causal and statistical inference models.
- (Preferred) – Proven track record of pragmatic and powerful A/B experimentation.
- Trusted advisor: Possess a high degree of integrity, the relentless pursuit of truth, and an ability to inspire change.
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