Description
The Performance Optimization Squad is a newly formed team in the Core Infrastructure Studio with a mission to establish a core competency in performance engineering and address systemic inefficiencies across Spotify's platform. Our goal is to identify and eliminate waste, improve efficiency, and reduce costs. We're looking for a Data Analyst who will build the measurement foundation that drives every decision we make.
As a Data Analyst, you will design and build datasets, data pipelines, and metrics that make performance inefficiencies visible across the platform. You will define and own metrics for efficiency, latency, and resource utilization, turning raw infrastructure signals into insights that drive prioritization. You will proactively investigate performance data to surface optimization opportunities, not just respond to engineering requests.
Key responsibilities include:
- Design, build, and maintain datasets and data pipelines that surface resource utilization, cost, and performance signals across Spotify's infrastructure
- Define and own metrics for efficiency, latency, and resource utilization; turning raw infrastructure signals into insights that drive prioritization
- Proactively investigate performance data to surface optimization opportunities, not just respond to engineering requests
- Build dashboards and analyses that support decision-making across the squad and partnering platform teams
- Work with engineers and platform teams to define guardrail metrics, validate findings, and measure the real-world impact of optimization efforts
- Translate complex infrastructure data into clear stories for both technical and non-technical audiences
We're looking for someone who has experience working with infrastructure, platform, or cloud cost data, or is a strong technical analyst with enough grounding in distributed systems and cloud infrastructure to navigate GKE cost data, JVM metrics, and resource utilization signals. You should be comfortable writing clean, efficient SQL and Python, and have experience with data visualization tools such as Looker or similar. You should also be able to communicate clearly and confidently with engineers and non-technical stakeholders alike.
This role is based in Stockholm or London, and we offer the flexibility to work where you work best. There will be some in-person meetings, but still allows for flexibility to work from home.