Senior Analytics Engineer

Launch Darkly is seeking an experienced Analytics Engineer to join our data team. You will work with other Data Engineers, Analytics Engineers, and stakeholders across the company to deliver data insights that create material impacts to our business.

• Develop data-driven solutions to critical business problems by leveraging our data warehouse, analytics tools, and scripting languages.
• Partner with stakeholders throughout the company to drive improved business results in their areas by providing creative technical solutions to their most pressing business challenges.
• Translate quantitative analyses and findings into clear visuals, written documentation, and other data assets for non-technical end users.
• Provide suggestions for improving the reliability, ease of use, and performance of the Data Team’s technical infrastructure.
• Form strong relationships with your team and refine our best practices e.g. naming convention, data modeling, and data quality testing.
• Enable users across the organization to self-serve requests using our explorable data sets.

• 5+ years of professional experience as an Analytics Engineer, Data Scientist, or similar.
• A Bachelor’s degree in a technical field (Computer Science, Physics, Math, Economics, etc.)
• An ability to balance humility with rigorous standards for work quality.
• A curious and growth‑oriented mindset towards learning and teaching.
• Ability to understand, tackle, and communicate problems from both technical and business perspectives.
• Experience with data modeling and warehousing concepts.
• Proficient in Snowflake (SQL), Python, and visualization tools.
• Proficient with advanced statistical techniques.
• Comfortable working in DBT and AWS Data Tools.

Target pay ranges based on Geographic Zones for a Level P4:

Zone 1:
San Francisco/Bay Area or New York City Metropolitan Area: $173,000 - $204,000*

Zone 2:
Boston, DC, Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Seattle: $,000**

Zone 3:
All other US locations: $,000

Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.

Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.