Manager, Business Intelligence Engineering

Manager, Business Intelligence Engineering

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

The Data Science & Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data. We're looking for a Manager, Business Intelligence Engineering to join Snap Inc!

What you'll do :

• Lead a team to establish foundational data and analytics capabilities for our ads platform and identify key insights around our ads platform.
• Collaborate with Data Science, Product, and Engineering, and Business partners to design and build data tools / visualizations, operationalize metrics, conduct investigations, deliver actionable insights, and conduct in-depth product analysis.
• Understand the challenges within our ads platform and help make decisions based on data driven insights by analyzing information from multiple sources in a logical and coherent data story.
• Build and maintain dashboards that communicate the performance of the various components of our ads platform with compelling data visualizations and consistency.
• Develop data pipelines that power our analytics data layer for analysis, reporting and dashboarding ensuring efficiency and reliability.
• Own the data model used to power our underlying data layer for monetization including the associated pipelines, data structures, and schemas.
• Maintain the key metric definitions and understand them at a deep level, offering recommendations for improvements and new metrics.
• Conduct exploratory and deep dive analysis to understand drivers of revenue performance and overall platform performance, developing actionable insights to Product and Engineering leadership.
• Own root-cause investigations starting from proactive identification of metric regressions to resolution including recommendations for long term product improvements.
• Proactively identify improvements to our platform or business that can be expected to drive increased revenue.

Knowledge, Skills & Abilities :

Minimum Qualifications :