Data Analyst – Revenue & Metrics Hybrid - Bangalore

LaunchDarkly Group; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

LaunchDarkly Group is seeking an experienced Data Analyst to join their Data & Analytics team in Bengaluru, India. The role involves building scalable data models, automating reporting, and collaborating with global teams to ensure the delivery of high-quality analytics outputs.

The ideal candidate will have a minimum of 5 years in data analytics, proficiency in SQL, and experience with data tools like Snowflake and dbt. The position focuses on translating business logic into accurate and reusable datasets, providing essential support across the organization.

Qualifications

• Minimum of 5 years of experience in data analytics or business intelligence.
• Strong SQL skills and experience with large datasets.
• Experience with modern data tools such as Snowflake and dbt.

Responsibilities

• Build and maintain scalable data models using tools like Snowflake.
• Implement standardized metrics in the data layer.
• Develop and maintain dashboards for business performance.

Skills

SQL skills

Data modeling

Automation

Data visualization

Attention to detail

Tools

Snowflake

dbt

Looker

Job description

LaunchDarkly is looking for a Data Analyst to join our Data & Analytics team in India. 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 EMEA 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.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.