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Senior Data Analyst

Epidemic Sound - Stockholm HQ, Stockholm, Stockholm County, Sweden

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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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

Role function
Data From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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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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