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    Job · 14893439

    Highlight, A Launchdarkly Company logo

    Data Analyst - Revenue & Metrics

    Highlight, A Launchdarkly Company · Bengaluru · onsite · Posted 52d ago

    Undisclosed5–10 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Summary

    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 NRR 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


    Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Skills

    data qualityAutomationDevopsCadencebilling systemsdata analystdbtAutomatingDashboardingAnalyticsdata modelsBankingData AnalyticsData EngineeringCommunication SkillsData ModelingBusiness IntelligenceData Pipeline

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