RRemoteville

How Remoteville checks and expires listings

Customer.io logoCustomer.io

Senior Product Data Analyst

Skills
A/B TestingAnalytical SkillsAnalyticsBusiness InsightsData AnalysisData AnalyticsData Quality
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 6+ years of data analysis experience
  • 4+ years of experience focused on feature and usage metrics, A/B testing, conversion and retention, segmentation, and developing user archetypes and their usage patterns
  • 2+ years of experience supporting product teams
  • 2+ years of experience uncovering data insights to form hypothesis, designing product experiments, evaluating results and making recommendations
  • Multiple years of experience working with Product Analytics tools like Mixpanel and Amplitude
  • Fluency in SQL to query and dbt to transform data

Nice to have

  • Used tools in our stack like: dbt Mixpanel Snowflake Sigma Stitch Data Customer.io Data Pipelines Paradime
  • Worked with data from CRM tools like Salesforce or Salesloft
  • Worked with data from payment applications like Stripe or Ordway

Day to day

  • Own our Product Analytics data catalogue and work with various EPD squads to ensure we’re tracking the right things in the right way to generate valuable insights
  • Review our PLG customer journey, the data we have available, inclusive of quality, and make a plan to improve data quality and comprehensiveness to deliver a clean PLG channel dashboard and funnel
  • Study our existing product analytics and usage data to align the team around specific “aha” moments that drive desired outcomes and metric definitions for those outcomes
  • You would then use these findings and metrics to, for example, work with our Growth squad to devise a series of experiments to decrease time to aha for newly onboarding self-serve customers
  • Work with our Growth squad to create a framework for managing experiments within the PLG funnel and provide recommendations around the team’s experimentation calendar and specific experiments
  • Work with various EPD squads to understand the impacts of changes to the product experience on outcomes like retention and customer experience or input metrics that drive those outcomes
  • Solve other data problems for the company as-needed

Hiring process

  • 30-minute video call with a Recruiter
  • 45-minute video call with the Hiring Manager
  • 45-minute video call with two potential peers
  • Take-Home Assignment & Review Call with the team
  • 45-minute video call with two potential stakeholders