Staff Analytics Engineer

Summary

Join OpenPhone's Data & Analytics team as a Staff Analytics Engineer and build the foundation for scalable analytics across the organization. Collaborate with stakeholders to build solutions transforming data into key metrics, reporting, and insights. Ensure teams have access to reliable, accurate, scalable metrics. Lead projects enabling self-serve insights for data-driven decisions. Translate stakeholder needs into scalable data models and reporting requirements. Develop insightful dashboards to track core metrics and build foundational data products empowering teams to explore data independently. Influence cross-functional teams' roadmaps from a data systems perspective and become an expert in the organization's data models and data architecture.

Requirements

• 8+ years of experience as an Analytics Engineer or similar Data Science & Analytics roles
• A passion for OpenPhone’s mission to give small businesses modern, intuitive tools to connect with customers quickly, build trust, and create lasting relationships
• Expertise in building multi-step ETL jobs through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub
• Expertise in SQL and Python to transform data into accurate, clean data models
• Experience designing dashboards and visualizations in tools like Hex, empowering multiple teams with actionable insights
• A bias for action and urgency, not letting perfect be the enemy of the effective
• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description
• Experience building an Analytics Engineering (or similar) function at start-ups
• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress

Responsibilities

• Translate stakeholder needs into scalable data models and reporting requirements
• Define, build, and manage key data pipelines in dbt that transform raw logs into canonical datasets
• Establish and uphold high data integrity standards and SLAs to ensure timely, accurate delivery
• Develop insightful and reliable dashboards to track the performance of core metrics that will deliver insights to the whole company
• Build foundational data products and tools that empower teams to self-serve and explore data independently
• Influence the future roadmap of cross functional teams from a data systems perspective
• Become an expert in our organization’s data models and the company's data architecture

Preferred Qualifications

Familiarity with AWS (EC2, S3) and modern data stack best practices

Benefits

• Extensive medical coverage
• A monthly lifestyle stipend
• A flexible PTO policy
• Equity