Data Analyst – Revenue & Metrics
Builds scalable data models, standardized revenue metrics, automated pipelines, and reliable dashboards for global business analytics. Requires at least five years of analytics-related experience, strong SQL, modern data-tool expertise, and careful data validation.
About the job
Responsibilities
Data Modeling & Transformation
- Build and maintain scalable data models using modern tools such as Snowflake and dbt.
- Translate defined business logic, including ARR calculations, into clean and reusable datasets.
Metrics Implementation
- Implement and maintain standardized metrics such as ARR, NRR, and churn in the data layer.
- Ensure consistency across dashboards and reports.
Automation & Pipeline Support
- Work with Data Engineering to automate data pipelines.
- 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 and identify inconsistencies.
- Support reconciliation efforts across systems such as Salesforce and billing systems.
Global Collaboration
- Partner with teams across the US and EMEA to deliver timely, high-quality analytics outputs.
Qualifications
- 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 such as Snowflake, dbt, and Looker or similar platforms.
- 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.
Skills
SQL, Snowflake, dbt, Looker, Data Modeling, Dashboarding, Data Transformation, Salesforce, Revenue Analytics, Business Intelligence
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