LaunchDarkly is seeking an experienced Data Analyst to shape how we build and grow our platform by delivering insights that directly influence product strategy, growth initiatives, and customer experiences.
Requirements
- Demonstrable experience working with data in Snowflake or similar SQL-based analytics warehouse
- Demonstrable experience with creating and maintaining data models in dbt
- Demonstrable experience with creating data visualizations and ready-made data sets in Looker, or other similar tools
- Ability to define and iterate on analytics project requirements with both technical and business partners
- Ability to communicate analytics insights and discoveries to both technical and business partners
- A curiosity around state-of-the-art data science and analytics technologies, tools, and technical approaches applied to building great software products including, but not limited to, experimentation, machine learning, and generative AI
Responsibilities
- Develop data-driven and actionable insights to accelerate product growth and engagement by leveraging our data warehouse, analytics tools, and scripting languages.
- Partner cross-functionally with Product, Engineering, and Go-to-Market teams to translate their most pressing business challenges into data projects that influence strategy, with an initial focus on Product Growth
- Translate quantitative analyses and findings into clear visuals, written documentation, and other data assets for product, engineering, and business end users.
- Provide suggestions for improving the reliability, ease of use, and performance of the Data Team’s technical infrastructure.
- Advance team best practices in data modeling, naming conventions, and data quality testing to ensure scalable, trustworthy analytics.
- Build, maintain, and promote reliable self-serve datasets and dashboards that enable stakeholders to make confident decisions quickly.
Other
- 3+ years of professional experience as a Product Analyst, Data Analyst, Data Scientist, Analytics Engineer, or similar.
- A Bachelor’s degree in a technical field (Computer Science, Physics, Math, Economics, etc) or equivalent technical education
- An ability to balance humility with high standards for work quality
- A curious and growth-oriented mindset towards learning and teaching.
- A desire to expand scope of responsibilities to multiple Product and Business domains and wear multiple hats across the analytics stack as we climb the Data Hierarchy of Needs
