Analytics Engineer II

Spotify

Stockholm, SE

Career-pivot friendly

Who this role is best for

Geared toward mid-level analytics engineers comfortable with cross-functional collaboration on data infrastructure in a tech platform environment.

Best fit for

Engineers experienced in building analytical models for developer productivity metrics
— “build and maintain trusted analytical models, metrics, and data products”
Collaborators who can work across data engineering and product teams
— “Working closely with Data Engineers, Product, Engineering, and Platform partners”

Things to consider

Focus on platform health and developer productivity metrics
— “power developer productivity, platform health, and leadership decision-making”
Expect to work on data assets supporting rapid scaling
— “enabling rapid growth in our users and our business”

How to stand out

Demonstrate experience creating data products that improved operational decisions
— “data products that power developer productivity, platform health”
Showcase cross-functional projects where you translated technical data into business value
— “translate platform signals into reliable, well-modeled data assets”
Highlight any platform or infrastructure-related data modeling experience
— “build and maintain trusted analytical models, metrics”

Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

reliable data assets
improved platform health

Typical background

data engineeringdata science

Skills & requirements

Required

Data ModelingMetrics DevelopmentData Product CreationData Engineering

Preferred

Platform Health MonitoringDeveloper Productivity Tools

About the role

Original posting from Spotify via Lever

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
We’re looking for an Analytics Engineer II to join Spotify's Platform Central Data (PCD) squad, a cross-functional Data Engineering and Analytics Engineering team within the Platform Mission. You’ll help build and maintain trusted analytical models, metrics, and data products that power developer productivity, platform health, and leadership decision-making. Working closely with Data Engineers, Product, Engineering, and Platform partners, you’ll translate platform signals into reliable, well-modeled data assets that help Spotify ship faster and safer.

Source: Spotify careers (Lever)