About the Role
The individual will collaborate with data scientists, engineers, and business stakeholders to build and optimize analytics solutions that power product and operational insights.
Responsibilities
- Design and implement data models that support reporting and analytics use cases
- Develop and maintain ETL pipelines for accurate data transformation and delivery
- Collaborate with cross-functional teams to understand data requirements
- Ensure data quality and consistency across analytics systems
- Optimize SQL queries and data structures for performance
- Document data models, pipelines, and analytical processes
- Support the evolution of the analytics data warehouse
- Troubleshoot data discrepancies and resolve issues promptly
- Contribute to best practices in analytics engineering
- Use version control for data modeling code and pipeline configurations
- Monitor pipeline health and implement alerting when needed
- Work with stakeholders to refine business logic in data models
- Apply testing methodologies to validate data accuracy
- Integrate new data sources into existing analytics frameworks
- Support dashboard and report development with reliable datasets
- Participate in code reviews for analytics codebases
- Improve data discoverability and metadata management
- Assist in defining metrics standards across teams
- Maintain awareness of analytics engineering trends and tools
- Contribute to on-call support for critical data pipelines
Nice to Have
- Experience with dbt (data build tool)
- Exposure to data orchestration platforms like Airflow
- Prior work in a product-focused data team
- Understanding of event-based data models
- Familiarity with CI/CD practices in data projects
- Knowledge of data governance principles
- Experience in a music, media, or content platform environment
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model available
Team
Part of the data and analytics organization focused on scalable insights and data products
Why This Role Matters
Data is central to understanding user behavior and improving the product experience. This role ensures that teams across the organization have access to timely, accurate, and actionable data through scalable modeling and automation.
What You’ll Bring
A strong foundation in data modeling, a collaborative mindset, and a commitment to data reliability. You should be comfortable working with ambiguity and evolving requirements in a dynamic environment.
Available for qualified candidates
