Data Analyst – Revenue & Metrics

• About the Job:

LaunchDarkly is looking for a Data Analyst to join our Data & Analytics team in either India or Ireland. In this role, you will focus on building and scaling reliable data models, automating reporting, and supporting global analytics delivery.

You will partner closely with the Senior Data Analyst (Revenue & Metrics), Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets. This role plays a key part in ensuring that defined metrics (e.g., ARR, NRR) are consistently implemented, automated, and delivered across the organization.

Responsibilities:

Data Modeling & Transformation

Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic (e.g., ARR calculations) into clean and reusable datasets.

Metrics Implementation

Implement and maintain standardized metrics (e.g., ARR, NRR, churn) in the data layer. Ensure consistency across dashboards and reports.

Automation & Pipeline Support

Work with Data Engineering to automate data pipelines and reduce manual reporting processes.

Dashboarding & Reporting

Develop and maintain dashboards that provide consistent and reliable visibility into business performance.

Data Quality & Validation

Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems).

Global Collaboration

Partner with teams across the US and EMEA to deliver timely and high-quality analytics outputs.

Qualifications:

• Typically requires a minimum of 5 years of related experience in data analytics, business intelligence, or analytics engineering
• Strong SQL skills and experience working with structured and large datasets
• Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar)
• Experience building and maintaining data models and dashboards
• Experience implementing business logic into data transformations
• Strong attention to detail and ability to ensure data accuracy
• Ability to work with global teams across time zones
• Clear communication skills

• 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 [email protected].

Do you need a disability accommodation?

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

Your safety matters to us.

To protect yourself from potential scams, LaunchDarkly recruiters will contact you from @LaunchDarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply.

Please notify us of any fraudulent representation by sending an email to [email protected].

• Typically requires a minimum of 5 years of related experience in data analytics, business intelligence, or analytics engineering
• Strong SQL skills and experience working with structured and large datasets
• Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar)
• Experience building and maintaining data models and dashboards
• Experience implementing business logic into data transformations
• Strong attention to detail and ability to ensure data accuracy
• Ability to work with global teams across time zones
• Clear communication skills