Business Intelligence Analyst – Signals, Revenue
Job Description:
• Help build and maintain our Single Source of Truth for signal activity and revenue performance.
• Work with large-scale datasets across AWS and DataBricks.
• Transform complex signal data into clear insights through Looker dashboards.
• Collaborate closely with Finance, Technology, and Business teams to ensure data reliability.
• Define and evolve company’s Single Source of Truth for signal activity, revenue attribution, and product performance.
• Help monitor signal delivery and data health using AWS logs and Datadog.
• Maintain data integrity across Last Activity API and Activity Signal products.
Requirements:
• 3+ years of experience in business intelligence, data analytics, or data engineering environments.
• Experience working with large-scale datasets.
• Advanced SQL with the ability to query large, complex datasets.
• Experience working in cloud data environments such as AWS and DataBricks.
• Experience building dashboards and data models in Looker (LookML) or leading a migration to Looker.
• Experience working with event-based data, API logs, or streaming data.
• Experience with SparkSQL or DataBricks Lakehouse architecture.
• Strong understanding of financial metrics such as LTV, CAC, and gross margin.
• Ability to work cross-functionally with Finance, Engineering, and business stakeholders.
Benefits:
Apply Now
Apply Now
• Help build and maintain our Single Source of Truth for signal activity and revenue performance.
• Work with large-scale datasets across AWS and DataBricks.
• Transform complex signal data into clear insights through Looker dashboards.
• Collaborate closely with Finance, Technology, and Business teams to ensure data reliability.
• Define and evolve company’s Single Source of Truth for signal activity, revenue attribution, and product performance.
• Help monitor signal delivery and data health using AWS logs and Datadog.
• Maintain data integrity across Last Activity API and Activity Signal products.
Requirements:
• 3+ years of experience in business intelligence, data analytics, or data engineering environments.
• Experience working with large-scale datasets.
• Advanced SQL with the ability to query large, complex datasets.
• Experience working in cloud data environments such as AWS and DataBricks.
• Experience building dashboards and data models in Looker (LookML) or leading a migration to Looker.
• Experience working with event-based data, API logs, or streaming data.
• Experience with SparkSQL or DataBricks Lakehouse architecture.
• Strong understanding of financial metrics such as LTV, CAC, and gross margin.
• Ability to work cross-functionally with Finance, Engineering, and business stakeholders.
Benefits:
Apply Now
Apply Now