Senior Data Analyst
About The Position
SoundCloud empowers artists, tastemakers and fans to connect and share through music. Founded in 2007, SoundCloud is a creator-first platform helping artists build and grow their careers by providing them with the most advanced tools, services, and resources. With over 4x the music catalog of every other major streaming platform, spanning 40+ million artists across 190+ countries, SoundCloud is where emerging artists find their sound, hidden gems are discovered, and music culture is shaped in real time. SoundCloud is looking for a strategic Senior Data Analyst to join our Data & Insights team. As a Senior Data Analyst, you will collaborate with product and engineering teams to ensure accurate data capture, translating that data into insights that drive product innovation and monetization. You will use your advanced SQL skills, analytical mindset, and storytelling abilities to uncover user behavior patterns, identify opportunities, and measure the impact of new features/functionality through experimentation. You will also create dashboards and insights reports to communicate your findings and recommendations to various stakeholders, from product managers and engineers to leadership and executives. Drawing on your strong commercial sense, you’ll partner across functions to shape the product and go‑to‑market decisions that fuel the expansion of our content ecosystem.
Requirements
- 5+ years of experience in product analytics, business intelligence, data science, or a related field. Direct experience within Commerce, subscriptions, freemium based businesses, streaming services, Social, Commerce, Gaming is a plus.
- Expertise in SQL and experience working with large-scale data sets on cloud platforms such as GCP or AWS.
- Experience with analytics engineering tools such as Apache Airflow, Dataform, dbt, etc.
- Proficiency in data visualization tools such as Looker, Tableau, or Power BI.
- Familiarity with event tracking, design and tag management solutions such as Segment, GTM, Adobe Launch, Tealium, etc.
- Experience in designing, running, and analyzing complex A/B tests and experiments using one or more of the leading experimentation solutions. i.e. StatSig / Optimizely / Target.
- Strong analytical skills and ability to apply statistical methods such as hypothesis testing, regression analysis, clustering, forecasting. Experience building churn and retention prediction models is a plus.
- Excellent communication skills and ability to translate complex data into actionable insights and recommendations for different audiences.
- Curiosity and passion to find & elevate the data narratives and exercise influence to drive change.
- Experience in mentoring and training analysts and non technical stakeholders.
- Passion for music and interest in understanding user behavior and preferences in the music domain.
Nice To Haves
- Direct experience within Commerce, subscriptions, freemium based businesses, streaming services, Social, Commerce, Gaming is a plus.
- Experience building churn and retention prediction models is a plus.
Responsibilities
- Leverage content economics, subscription performance, and user behavior data to deliver strategic recommendations to product and business stakeholders; define and track core KPIs to guide critical product and business-lifecycle decisions.
- Conduct exploratory data analysis to identify the opportunity space for the product teams based on user needs, preferences, pain points & friction in the user journeys.
- Design and execute hypothesis-driven experiments on creator tools and features to maximize user growth, engagement, and retention.
- Communicate data-driven insights & recommendations to product, engineering, design, and leadership teams using clear and compelling narratives, visualizations, and presentations.
- Partner across finance, strategy, and commercial leadership to track core business performance, investigate tactical or strategic shifts in revenue and performance metrics, and deliver data-driven insights that support operational efficiency and strategic business decision-making.
- Collaborate with other analysts, data engineers, data scientists, and product managers to ensure data quality, consistency, and alignment across different data sources and platforms
- Develop and maintain dashboards, reports, and documentation to share best practices, learnings, and institutional knowledge across the organization.
Benefits
- Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources
- Robust 401k program
- Employee Equity Plan
- Generous professional development allowance
- Creativity and Wellness benefit (e.g., gym membership, photography course or book)
- Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
- 16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children
- Various snacks, goodies, and 2 free lunches weekly when at the office
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
