
Senior Product Data Analyst
steercom - Key Message. Delivered.
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
Tech Stack
About the role
- Establish Trust and Cleanliness (The "Dirty Work"): You will proactively find the messiness in our data sources and identify gaps in our tracking. You understand that rigorous data cleaning is the prerequisite to interesting modeling.
- Build the Modern Stack (BI as Code): You will help us choose and deploy dbt (data build tool) and a modern BI platform, building version-controlled models and CI/CD pipelines to ensure our data logic is tested, documented, and reliable.
- Enable Self-Service via "Explore" Environments: You will implement "Explore" environments and certified semantic layers that allow non-technical stakeholders to answer their own questions safely.
- Master Three Data Domains: You will tackle our biggest data challenge—joining disparate data sets (Product data, HubSpot CRM, and Chargebee billing) to create a single, trusted view of the customer.
- Analyze aggregate data on how our customers' businesses are performing.
- Collaborate with Engineering: You will act as a strategic partner, defining logic with software engineers before features are shipped.
- Drive Data Culture: You will help train stakeholders on how to use data and differentiate between metrics.
Requirements
- 8+ years of experience in product analytics, analytics engineering, or data science.
- The "Modern Analyst" Toolkit: You are comfortable with Command-Line Interfaces (CLI), Git-based version control, and CI/CD pipelines. You understand that modern analytics is a software engineering discipline.
- Deep dbt Expertise: You have extensive experience using dbt to build clean, tested, and documented data models. You know how to structure a project for scale.
- Event-Based Analytics Mastery: You have deep expertise in analyzing user behavior (clickstream data) using tools like Amplitude, Mixpanel, or Heap. You understand the difference between analyzing transactions (SQL) and events (User Journeys).
- Builder Mindset: You have successfully built a stack (tools/processes) from scratch in a previous role. You don't wait for permission to fix broken processes.
- Data Quality Obsession: You spot when a number "looks wrong," and you have the curiosity to dig in, find the root cause, and fix the definition.
Benefits
- 100% remote work environment
- Medical, Dental and Vision insurance within 30 days
- 100% employer-paid medical insurance
- Equity package
- Flexible PTO with 15 days minimum
- Generous Parental Leave
- FSA and HSA options
- 401(k)
- Learning Stipend
- WFH Equipment
- Chance to work with the latest technology
- A collaborative, high ownership culture
- Opportunities for development and career growth
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data cleaningdata modelingCI/CD pipelinesdbtSQLevent-based analyticsclickstream datadata qualityanalytics engineeringproduct analytics
Soft skills
collaborationstrategic partnershiptrainingproblem-solvingcuriositybuilder mindsetcommunicationorganizational skillsattention to detaildata culture advocacy