Senior Product Analyst, n8n

• 5+ years of relevant experience interpreting data in an analytics, data science or business intelligence role
• Pro knowledge of SQL
• Experience working with Product teams
• Experience in an early-stage data team
• Basic knowledge of statistics (e.g. correlation vs. causation, multicollinearity, skew)
• Proactive and curious: identify opportunities for analysis, and keep asking ‘why’ until you get to an explanation
• A builder, able to independently define and prioritize a roadmap, set up tools, systems and processes and create organization-wide change
• Laser-focused on business impact, with a bias for action

Desirable

• We are looking for our first Product Analyst for the product team
• This will be an opportunity to set up the function from scratch
• We already collect a ton of data via the telemetry in our app, but so far we have had no one dedicated to getting insights out of it
• Your mission will be firstly to turn n8n into a truly data-centric organization, which prioritises the use of data in decision-making
• And secondly to make our data more accessible, so that everyone can generate insights from it, regardless of their skill level
• Data curation:
• Clean, parse, and validate datasets to ensure accuracy and consistency
• Standardize data formats and naming conventions to build a strong foundation
• Identify gaps in data collection and collaborate with Engineering to fill them
• Data consumption:
• Create and define key product metrics, and ensure we measure them consistently and accurately
• Build and maintain the dashboards that let us visualize metrics and track business performance
• Run ad hoc diagnostic, prescriptive or predictive analyses (e.g. to figure out why something may have happened, or to understand what drives metrics)
• Proactively and independently seek answers in our data (e.g. create different user segments to explain differences in retention, or identifying the features which most drive increases in product usage)
• Support PMs to prioritize initiatives, and set meaningful goals
• Ops, tools & processes:
• Own our CDP, Rudderstack, and our data warehouse, BigQuery
• Own our business intelligence tool, Metabase, together with one other Data Analyst
• Set up a system and tools to manage your work roadmap
• Maintain comprehensive documentation around our data to improve transparency and ensure data is well-contextualised, and can be widely used
• Build and encourage a data-driven company-wide culture