Unlock actionable insights from product and sales data to drive informed decision-making across the company.
Requirements
- Strong SQL skills with experience querying large databases.
- Familiarity with Looker or similar BI tools.
- Basic coding skills for scripting and automation.
- Experience with cloud-based data infrastructure, such as AWS (EFS, S3), GCP (BigQuery, Looker Studio).
- Deep experience with Statistics and SQL.
- Experience with data pipelines and data analysis tools.
- Familiarity with data visualization tools.
Responsibilities
- Analyze product usage data to generate actionable insights that inform product development and sales strategies.
- Build and optimize data pipelines to efficiently ingest, transform, and store large datasets for analysis.
- Create dashboards, reports, and visualizations in tools like Looker to communicate findings effectively to stakeholders.
- Write SQL queries to extract and analyze data from databases, occasionally writing scripts or code to automate workflows.
- 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.
- Analyze enterprise product usage patterns to extract actionable insights that inform prospecting and ICP development.
Other
- 2-4+ years in a data science role.
- Experience as a first data team hire, preferred.
- 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 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.
