Data Analyst

Required skills

Requirements

3+ years of data analytics experience
Experience with Python
Experience with SQL
Experience with ETL pipelines
Experience with Apache Airflow
Experience with dbt
Experience owning entire data lifecycles independently (from data cleaning and pipeline engineering to analytics extraction and executive)
Experience building and presenting dashboards, systems, or workflows
Exposure with cloud data architectures (AWS, Azure)
Experience with automation tools (Zapier, Retool) and CRMs (HubSpot)
Proficiency with spreadsheet tools (Excel, Google Sheets) and financial data
Ability to debug, triage, and solve problems across complex environments
Ability to work with messy, real-world operational data with strong attention to detail
Strong communication skills in both spoken and written English

Build and maintain core data systems across growth, revenue, and operations, including reporting, CRM/HubSpot, and analytics infrastructure
Design reliable data pipelines with documented, tested, easy-to-use source-of-truth tables
Catch data quality issues early through validation and monitoring
Define and track core company metrics so teams can trust and use dashboards daily
Partner directly with founders to monitor operational processes and track SLAs across onboarding, support, and billing
Streamline manual processes and reduce spreadsheet-based, manual reporting workflows across billing, revenue operations, onboarding, and customer support
Improve data quality and support scalable workflows across cross-functional teams
Deliver faster answers to business questions across the company

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