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LaunchDarkly makes feature management software that lets engineering teams turn functionality on and off in production, and this role joins its data and analytics team in India. The work is closer to analytics engineering than to reporting: you build and scale reliable data models, automate reporting, and support analytics delivery globally. The specific problem named in the posting is metric consistency. You partner with the senior data analyst for revenue and metrics, with data engineering and with business stakeholders to translate business logic into clean, scalable datasets, so that defined measures such as annual recurring revenue and net revenue retention are implemented the same way everywhere and automated rather than rebuilt by hand. The toolchain is the modern data stack, with SQL as the core skill and Snowflake, dbt and Looker named as examples. Who it is for: THE EXPERIENCE THIS ROLE ASKS FOR Typically a minimum of 5 years of related experience in data analytics, business intelligence or analytics engineering. WHAT THE POSTING REQUIRES - Strong SQL skills and experience working with structured and large datasets. - Experience with modern data tools such as Snowflake, dbt and Looker or similar. - Experience building and maintaining data models and dashboards. - Experience implementing business logic into data transformations. - Clear communication skills. WHAT THE JOB ACTUALLY IS DAY TO DAY Joining LaunchDarkly's data and analytics team in India, focusing on building and scaling reliable data models, automating reporting and supporting global analytics delivery. Partnering with the senior data analyst for revenue and metrics, with data engineering, and with business stakeholders to translate business logic into clean, scalable datasets. The posting states the role plays a key part in ensuring defined metrics such as annual recurring revenue and net revenue retention are consistently implemented and automated rather than rebuilt by hand each time. LOCATION AND WORKING PATTERN Listed as hybrid, Bangalore. BEFORE YOU APPLY Scope, stated honestly: this is business and revenue analytics rather than product analytics or machine learning, so the subject matter is commercial metrics. It is an individual contributor role partnering with a senior analyst, with no team management described. HONEST FIT GUIDANCE An analyst or analytics engineer with five years or more who is strong in SQL and has worked in a dbt and Snowflake style stack, and who finds metric definition and data modelling satisfying rather than tedious. If your background is dashboards without the underlying modelling work, the data model requirement is the one to prepare for. .