Data Analyst Jobs: Customer.io is looking for a new remote senior data analyst/analytics engineer to join their team supporting their Product organization with a particular focus on supporting their Product-Lead-Growth (PLG) initiatives and other Product team driven priorities. Based in UTC -4 to -7 (North or South America) to maximize working hours overlap.
They are offering a starting salary of $125,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment.
Job Description
You’ll be a consultant and trusted advisor to folks across our functional teams but particularly focused on supporting our Engineering, Product and Design (EPD) org as they work to improve our product and our customers’ experience. While data helps inform many decisions at Customer.io, it’s one factor alongside other things like customer research, our experience and intuition.
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.
- 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.
Qualifications
- 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.
- 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.
Benefits
- Unlimited PTO – we encourage at least 20 vacation days (in addition to holidays and sick days) so that you can unwind, unplug, and recharge
- 16 weeks paid parental leave (including adoption and foster care)
- 100% paid insurance premiums for you and your dependents
- 401k retirement matching – up to 5% dollar-for-dollar match to retirement contributions
- $1,500 annual healthy lifestyle budget (for gym memberships, classes, fitness equipment)
- $250/monthly Remote Work Stipend to be used for home internet, cell phone, and other miscellaneous remote work costs
- $300/month co-working space rental reimbursement
- $2,000/yearly professional education budget for conferences, courses, workshops, books, etc.
- $1,500 home office budget to make sure your working space is ergonomic and just what you need to do your best work!
- One month sabbatical after five years at Customer.io
- We also have opportunities to meet in person with your peers throughout the year
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