Product Analytics Engineer
| Company | Lightning AI |
|---|---|
| Location | Palo Alto, CA, USA, New York, NY, USA |
| Salary | $115000 – $170000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Junior, Mid Level |
Requirements
- 2-4+ years in a data engineering and/or data science role
- 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)
- Deep experience with Python and SQL
Responsibilities
- 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
Preferred Qualifications
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No preferred qualifications provided.