Full-Time

Senior Product Data Analyst

Posted on 9/6/2024

Customer.io

Customer.io

201-500 employees

Marketing automation for customer engagement

Consulting
Consumer Software

Compensation Overview

$140kAnnually

Senior

Remote in USA

Candidates should be based in UTC -4 to -7 (North or South America) to maximize working hours overlap.

Category
Data Management
Data Analysis
Data & Analytics
Required Skills
Mixpanel
Amplitude
SQL
Data Analysis
Requirements
  • 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.
  • Fluency in SQL to query and dbt to transform data.
Responsibilities
  • 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.

Customer.io is a marketing automation platform that helps businesses engage with their customers throughout their lifecycle. It allows companies to segment their audience based on real-time events, enabling personalized messaging that improves customer connections and engagement. Unlike many competitors, Customer.io offers A/B testing and professional support services to refine marketing strategies and integrate with other tools. The goal is to empower businesses to send data-driven messages that enhance customer engagement and drive revenue.

Company Stage

Seed

Total Funding

$9.6M

Headquarters

Portland, Oregon

Founded

2012

Growth & Insights
Headcount

6 month growth

7%

1 year growth

14%

2 year growth

48%
Simplify Jobs

Simplify's Take

What believers are saying

  • Integration with Vision Pro opens new opportunities in the emerging VR marketing space.
  • Partnership with Twilio enhances messaging capabilities, offering robust solutions for customer engagement.
  • Participation in CEE Startup Challenge expands exposure to VC funds and potential partnerships.

What critics are saying

  • Increased competition in VR marketing could dilute Customer.io's first-mover advantage.
  • Rising demand for diverse SMS integrations may increase operational complexity for Customer.io.
  • Economic challenges in B2B SaaS sector could impact Customer.io's client base and revenue.

What makes Customer.io unique

  • Customer.io integrates with Apple Vision Pro, pioneering VR marketing for data-driven campaigns.
  • The platform offers robust A/B testing, allowing businesses to refine marketing strategies effectively.
  • Customer.io provides real-time audience segmentation, enabling precise targeting based on user behavior.

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