Description

You will build scalable measurement strategies and semantic data models to drive product and business insights.

This role is on-site.

Responsibilities

• Build reusable, semantic data models supporting core business concepts like Entitlement, Activation, and Utilization.
• Partner with product, engineering, and program management to develop scalable measurement strategies.
• Deliver executive dashboards and product insights derived from productionalized data models.
• Translate business requirements into technical documentation and prioritize work through stakeholder collaboration.
• Ensure data privacy and governance are prioritized throughout the data lifecycle.

Required Skills

• 5+ years of experience in data management, data engineering, data analytics, or product management.
• 5+ years of hands-on experience with data visualization tools such as Tableau, Looker, or PowerBI.
• 2+ years of professional SQL experience.
• Strong understanding of data lifecycle management, including instrumentation, governance, modeling, and self-service interfaces.
• Proven ability to distill business requirements into technical documentation.
• Experience working in ambiguous environments requiring high business acumen.

Preferred Skills

• Experience with third-party web analytics tools like Heap, Google Analytics, or Adobe Analytics.
• Experience with cloud-based data warehouses such as Snowflake, BigQuery, or Databricks.
• Background working with paywall, subscription, or authentication-based products.

Key Skills

Education

Any Graduate