Data Analyst – Revenue & Metrics

Hybrid - Bangalore💼 Full-time🗓 2026-07-06 → 2026-07-31

Core

Build and scale reliable data models, automate reporting, and ensure consistent implementation of business metrics (ARR, NRR) across the organization.

Role type

Data Analyst (Revenue & Metrics)

Builds

Scalable datasets, automated reporting pipelines, and performance dashboards for global business stakeholders.

Domain

SaaS / Revenue Operations / Data Engineering

Deliverable

dashboards & analysis

Required skills

SQL, data modeling, data transformation, metric implementation, pipeline automation, data validation

Preferred skills

Experience with Snowflake, dbt, Looker, Salesforce, billing systems

Technologies

Snowflake, dbt, Looker, Salesforce

Responsibilities

Build and maintain scalable data models; Implement and maintain standardized metrics; Automate data pipelines; Develop and maintain dashboards; Validate data outputs and support reconciliation; Partner with global teams to deliver analytics.

Seniority

Mid-Senior (5+ years experience)

Sourced via greenhouse · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.

About launchdarkly

Software Development646Oakland, CA, USFounded 2014

LaunchDarkly is the runtime control layer for the AI era. For over a decade we have helped engineering teams control what ships in production, starting with feature management and evolving into the infrastructure that governs how software and AI agents behave after deploy. With CodeControl and AgentControl, teams can update agent behavior in milliseconds, automatically roll back when something drifts, and govern every agent and feature across the organization from one place. No redeploys required. LaunchDarkly processes more than 50 trillion flag evaluations per day and serves some of the most