Data Analytics Engineer

LaunchDarkly is seeking an experienced Data Analytics Engineer to build high-quality data models and data products that directly influence sales strategy and revenue reporting. You’ll join our Data Analytics and Engineering team in the Technology organization and work closely with our embedded revenue analysts, salesforce and software engineers, and revenue operations team.

• Own the development of cross-functional data models, core business metrics, and self-service dashboards and tools.
• Build, document, and maintain robust data pipelines and transformations using tools like dbt, Airflow, and Snowflake.
• Advance best practices in data modeling, naming conventions, and data quality testing to ensure scalable, trustworthy analytics.
• Establish and champion reporting best practices and a standardized metrics layer for the Technology and Revenue organizations — driving consistency, documentation, and discoverability.
• Partner closely with data scientists, revenue analysts, and salesforce engineers often serving as the go between for our revenue and technology organizations.
• Design metrics and data visualizations with dashboarding tools like Looker, and Hex.

• 3+ years of professional experience as an Analytics Engineer, or equivalent.
• A Bachelor’s degree in a technical field (Computer Science, Physics, Math, Economics, etc) or equivalent technical education.
• Hands-on experience building data pipelines and models with tools like dbt, and Airflow.
• Deep competency with SQL for transformations including window functions, common table expressions, and query tuning.
• Demonstrable experience working with data in Snowflake or similar SQL-based analytics warehouse.
• Ability to define and iterate on analytics project requirements with 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.

Nice-to-Have:

• Experience using and working with Salesforce, NetSuite, and Revenue, Finance, and Marketing teams.
• 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.
• A curiosity around state-of-the-art data analytics and engineering technologies, tools, and technical including, but not limited to, orchestrators, data warehouses, and business intelligence tools.

Pay:

Target pay ranges based on Geographic Zones* for Level 3:

• Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $136,500 - $187,660**
• Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $122,800 - $168,850**
• Zone 3: All other US locations - $116,000 - $159,500**

LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.

*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.

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. 

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

• Improving the velocity and stability of software releases, without the fear of end customer outages
• Delivering targeted experiences by easily personalizing features to customer cohorts
• Maximizing the business impact of every feature through the ability to experiment and optimize
• Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
• Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. 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. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at [email protected]. 

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