Senior Data Analyst
Epidemic Sound - Stockholm HQ, Stockholm, Stockholm County, Sweden
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Data Analyst Stockholm HQ, Stockholm, Stockholm County, Sweden Senior Data Analyst Join our global force of 400+ innovators, blending the latest in tech with the greatest in soundtracking - from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Paris, Oslo, and Seoul. We're an industry leader with a startup mentality. We take what we do seriously, but we don't take ourselves too seriously. Come create with us, and let the world feel your work. As a Senior Data Analyst , you'll join an embedded, AI-native analytics team that sits inside the commercial and product domains driving our growth. You'll work shoulder-to-shoulder with the CPO and product teams as we evolve from a music-library product into a broader creative-workflow platform, defining what success looks like for surfaces that don't exist yet and proving it with data. What you'll do - Partner with the CPO and product teams to define success metrics, surface growth opportunities, and shape product strategy with evidence. - Stand up and advise on measurement for new product experiences end to end - instrumentation, KPI design, and leading-indicator tracking. - Run the full analytics stack - from descriptive analysis through experimentation - to evaluate performance and drive decisions. - Close data gaps and build scalable, self-serve measurement infrastructure so teams can monitor long-term impact without you in the loop. - Make our data trustworthy for agentic analytics by resolving gaps and enriching context and metadata so both AI tools and people can rely on
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