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. You’ll join our Data Analytics team in the Technology organization, with an initial focus on Product Growth.

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.

Qualifications

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.

Nice-to-Have

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 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

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.

About LaunchDarkly

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 hr@launchdarkly.com.

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Fill out this accommodations request form and someone from our People Operations team will contact you for assistance.