LaunchDarkly

Data Analyst – Revenue & Metrics

LaunchDarkly

full-time

Posted on:

Location Type: Hybrid

Location: Bangalore • India

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Tech Stack

SQL

About the role

  • Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt).
  • Implement and maintain standardized metrics (e.g., ARR, NRR, churn) in the data layer.
  • Work with Data Engineering to automate data pipelines and reduce manual reporting processes.
  • Develop and maintain dashboards that provide consistent and reliable visibility into business performance.
  • Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems).
  • Partner with teams across the US and EMEA to deliver timely and high-quality analytics outputs.

Requirements

  • 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.
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLdata analyticsbusiness intelligenceanalytics engineeringdata modelsdashboardsdata transformationsdata validationmetricsdata pipelines
Soft Skills
attention to detaildata accuracycommunicationcollaborationtimeliness