What We're Looking For

We are looking for a Product Analytics Engineer to unlock actionable insights from our product and sales data, driving informed decision-making across the company. This individual will work closely with Product and Sales leadership, answering key questions about product usage, proactively surfacing trends, and supporting our growth in a data-driven way.

You will join the Product Team and report to our Chief Product Officer. This is a hybrid role based in either New York City, NY or San Francisco Bay Area with in-office requirements of 2 days per week. The salary range for this role is $115,000-$170,000.

What You’ll Do

• Build and optimize data pipelines to efficiently ingest, transform, and store large datasets for analysis.
• Analyze product usage data to generate actionable insights that inform product development and sales strategies.
• Analyze enterprise product usage patterns to extract actionable insights that inform prospecting and ICP development.
• Answer strategic questions, such as “How many of our customers are using X product and what do they look like to find more of them?”
• Create dashboards, reports, and visualizations in tools like Looker to communicate findings effectively to stakeholders.
• Write SQL queries to extract and analyze data from our databases, occasionally writing scripts or code to automate workflows.
• Collaborate with Product, Sales, and other teams to identify key metrics and establish data-driven processes.
• Proactively surface insights and trends, alerting stakeholders to opportunities for growth or areas for improvement.
• Contribute to the development of a data-driven culture by sharing best practices and enabling teams to leverage analytics tools.
  
  

What You’ll Need

• 2-4+ years in a data engineering and/or data science role 
• Proactive and resourceful, comfortable as the first data hire, with the ability to independently design and build foundational data pipelines from the ground up.
• Ownership attitude with experience either directly making decisions or partnering with engineering teams to make good decisions based on the scale of the business
• Strong SQL skills with experience querying large databases. Familiarity with Looker or similar BI tools is required. Basic coding skills for scripting and automation are a plus.
• Ability to interpret complex datasets, identify patterns, and distill findings into actionable insights.
• Strong ability to convey data-driven insights to both technical and non-technical audiences.
• Proven track record of working cross-functionally with Product, Sales, or Operations teams.
• Comfortable identifying opportunities for analysis without being prompted and driving initiatives forward independently.
• Experience with cloud-based data infrastructure, such as AWS (EFS, S3), GCP (BigQuery, Looker Studio)