Data Analyst
LaunchDarkly
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $116,000 - $187,660 per year
Job Level
Mid-LevelSenior
Tech Stack
GoSQL
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisdata modelingdata visualizationSQLdbtSnowflakeanalytics toolsscripting languagesdata quality testingdata-driven insights
Soft skills
communicationcollaborationcuriositygrowth mindsethumilityattention to detailproblem-solvingadaptabilitycritical thinkingproject management