Senior Product Analyst
Remote Technology
- Auckland
- Permanent
- Full-time
- 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 data modelling (preferably 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
- 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
- You'll report to: Manager, Data Analytics
- Direct reports: None
- Team: Engineering - Data
- Start date: As soon as possible
- Interview with future manager
- Home assignment
- Interview with team members (no managers present)
- Interview with a director of analytics