Senior Product Data Analyst

Summary

Join Remote's growing Data Team as a Senior Data Analyst, Product Analytics and help shape the future of Remote. This key role involves collaborating with product teams, defining and implementing a robust product metrics framework, analyzing user behavior, and developing actionable insights. You will work with various data tools on the AWS platform, including Snowflake and dbt, using SQL and Python. The ideal candidate possesses strong analytical and communication skills, experience with product analytics tools, and the ability to translate complex data into actionable recommendations. This is a fully remote position offering competitive compensation and benefits, including flexible paid time off, flexible working hours, and 16 weeks of paid parental leave. Remote values a diverse and inclusive workplace and encourages applications from all backgrounds.

Requirements

• 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)
• Excellent communication and ability to document processes for both business and technical audiences, in English
• Strong organizational and project management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment

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 able to self-serve insights on customer behaviours
• 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

Preferred Qualifications

• Python experience is considered a plus
• It's not required to have experience working remotely, but considered as a plus

Benefits

• Work from anywhere
• Flexible paid time off
• Flexible working hours (we are async )
• 16 weeks paid parental leave
• Mental health support services
• Stock options
• Learning budget
• Home office budget & IT equipment
• Budget for local in-person social events or co-working spaces