Senior Data Analyst, Product Analytics

What you bring:

• Significant experience working closely with product development teams, defining and delivering insights and analysis for digital products, and impacting key product decisions
• Extensive familiarity with event tracking taxonomy design, event tracking tools such as Rudderstack or Segment, and product analytics visualization tools like Mixpanel or Amplitude
• Strong knowledge of product metric design frameworks and implementation, assisting and enabling product teams throughout the lifecycle of measurement of their KPIs
• Excellent problem-solving skills and attention to detail, with the ability to translate complex data into actionable insights and recommendations
• Ability to build effective relationships and collaborate with product leadership
• Familiarity with data visualization tools like Metabase or Looker
• Proficiency in SQL and dbt. Python is a plus.
• Excellent communication and ability to document processes for both business and technical audiences
• Strong organizational and project management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment
• You are a kind, empathetic, and patient person
• It's not required to have experience working remotely, but considered as a plus
• Writes and speaks fluent English

Key Responsibilities:

• Collaborate with cross-functional teams including product managers and engineers, to define analytics requirements and prioritize initiatives
• Spearhead efforts to define and implement a robust product metrics framework, to proactively measure and report the performance of key product lines and features
• Contribute to our education and enablement efforts so that Product teams are able to implement and QA event taxonomies following well-defined best practices, and are able to self-serve insights on customer and user behaviour
• Analyze large datasets to extract actionable insights related to user behaviour, product usage, and feature performance
• Develop and maintain KPIs and dashboards to monitor product metrics and identify insights
• Work alongside data engineers, analytics engineers, and data analysts to collect the right data, to build out our data warehouse in dbt, and to properly deliver product models and metrics
• Mentor and support junior analysts by providing guidance, sharing best practices, and promoting a culture of continuous learning and development