Senior Product Data Analyst

As our new Senior Product Data Analyst, you will...

• 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.

You are...

• An independent problem-solver, but aren’t afraid to ask for help or collaboration when you need to.
• Curious, inquisitive, and constantly seeking to understand how things work.
• Capable of digging through the weeds to find a nugget of insight, but willing to step back before you've lost a week to a fruitless search.
• Empathetic and able to put yourself into the shoes of your stakeholders to better understand what they care about and help them answer the questions they may not yet know they need to ask.
• You know how to build and maintain clean, intuitive datasets that will enable you to answer new questions quickly and accurately.
• A strong communicator - particularly in written form since clear writing will be important to sharing your insights with others across our distributed team.
• Based in UTC -4 to -7 (North or South America) to maximize working hours overlap.

What we're looking for

• 6+ years of data analysis experience, leveraging descriptive and predictive data techniques
• 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 and a point of view on what belongs there vs a general purpose BI tool.
• An exceptional story-teller who can communicate complex analyses in digestible ways to a non-technical audience.
• Someone who will help business leaders and EPD squads see around corners and drive impactful change to the business.
• Fluency in SQL to query and dbt to transform data.

Ideally, but not required...

• You’ve used tools in our stack like: dbt, Mixpanel, Snowflake, Sigma, Stitch Data, Customer.io Data Pipelines or Paradime.
• You’ve worked with data from CRM tools like Salesforce or Salesloft.
• You’ve worked with data from payment applications like Stripe or Ordway.