LaunchDarkly
SaaS • Enterprise
LaunchDarkly is a software company offering a platform for feature management and experimentation. Its solutions allow developers to control software releases through feature flags, enabling safeguarded and progressive rollouts. The platform integrates with various developer tools and supports multiple programming languages to streamline deployment and improve the developer experience. LaunchDarkly's solutions cater to industries including financial services, healthcare, high tech, retail, and government, among others, providing a robust infrastructure that aids in delivering customized and targeted user experiences.
Data Analyst
November 20
🇺🇸 United States – Remote
💵 $116k - $187.7k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📉 Data Analyst
🦅 H1B Visa Sponsor
LaunchDarkly
SaaS • Enterprise
LaunchDarkly is a software company offering a platform for feature management and experimentation. Its solutions allow developers to control software releases through feature flags, enabling safeguarded and progressive rollouts. The platform integrates with various developer tools and supports multiple programming languages to streamline deployment and improve the developer experience. LaunchDarkly's solutions cater to industries including financial services, healthcare, high tech, retail, and government, among others, providing a robust infrastructure that aids in delivering customized and targeted user experiences.
📋 Description
• 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.
🎯 Requirements
• 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 • 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 • An ability to balance humility with high standards for work quality • A curious and growth-oriented mindset towards learning and teaching.
🏖️ Benefits
• Restricted Stock Units (RSUs) • Health, vision, and dental insurance • Mental health benefits
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