Data Analyst – Revenue & Metrics

<h4><strong>About the Job:</strong></h4> <p data-renderer-start-pos="6723" data-local-id="710549b6b17f">LaunchDarkly is looking for a Data Analyst to join our Data &amp; Analytics team in India. In this role, you will focus on building and scaling reliable data models, automating reporting, and supporting global analytics delivery.</p> <p data-renderer-start-pos="6950" data-local-id="79d9e5afb633">You will partner closely with the Senior Data Analyst (Revenue &amp; 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, <span data-highlighted="true" data-vc="highlighted-text">NRR</span>) are consistently implemented, automated, and delivered across the organization.</p> <h4>Responsibilities:</h4> <p data-renderer-start-pos="7320" data-local-id="a3c226227b49"><strong data-renderer-mark="true">Data Modeling &amp; Transformation</strong><br>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.</p> <p data-renderer-start-pos="7528" data-local-id="0a3409a01131"><strong data-renderer-mark="true">Metrics Implementation</strong><br>Implement and maintain standardized metrics (e.g., ARR, <span data-highlighted="true" data-vc="highlighted-text">NRR</span>, churn) in the data layer. Ensure consistency across dashboards and reports.</p> <p data-renderer-start-pos="7690" data-local-id="2eb74f43fbc0"><strong data-renderer-mark="true">Automation &amp; Pipeline Support</strong><br>Work with Data Engineering to automate data pipelines and reduce manual reporting processes.</p> <p data-renderer-start-pos="7815" data-local-id="a544a38c82ba"><strong data-renderer-mark="true">Dashboarding &amp; Reporting</strong><br>Develop and maintain dashboards that provide consistent and reliable visibility into business performance.</p> <p data-renderer-start-pos="7949" data-local-id="e6882314dfc5"><strong data-renderer-mark="true">Data Quality &amp; Validation</strong><br>Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems).</p> <p data-renderer-start-pos="8113" data-local-id="594e9f3f4184"><strong data-renderer-mark="true">Global Collaboration</strong><br>Partner with teams across the US and <span data-highlighted="true" data-vc="highlighted-text">EMEA</span> to deliver timely and high-quality analytics outputs.</p> <h4>Qualifications:</h4> <ul class="ak-ul" data-local-id="2a6f5289-1ba1-42bc-b9e0-e025e63d8f19" data-indent-level="1"> <li> <p data-renderer-start-pos="8378" data-local-id="c34542268462">Typically requires a minimum of 5 years of related experience in data analytics, business intelligence, or analytics engineering</p> </li> <li> <p data-renderer-start-pos="8511" data-local-id="1c806cc03020">Strong SQL skills and experience working with structured and large datasets</p> </li> <li> <p data-renderer-start-pos="8590" data-local-id="cf7e8b23c177">Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar)</p> </li> <li> <p data-renderer-start-pos="8669" data-local-id="7e44037ace01">Experience building and maintaining data models and dashboards</p> </li> <li> <p data-renderer-start-pos="8735" data-local-id="7ce21e2da796">Experience implementing business logic into data transformations</p> </li> <li> <p data-renderer-start-pos="8803" data-local-id="75145d80d6d9">Strong attention to detail and ability to ensure data accuracy</p> </li> <li> <p data-renderer-start-pos="8869" data-local-id="e0a6fc5f9d1f">Ability to work with global teams across time zones</p> </li> <li> <p data-renderer-start-pos="8924" data-local-id="cbedac2c44a5">Clear communication skills</p> </li> </ul> <h4><strong>About LaunchDarkly:</strong></h4> <p>Modern software delivery was supposed to be the foundation for a thriving digi