Director of Data Analytics

Soundstripe•Nashville, TN

8d•Remote

About The Position

Soundstripe is a premier music licensing platform used by more than a million creators and professionals globally to level up their creative works, including tv shows, films, advertising, podcasts, and video games. Launched in 2016 by three professional musicians, the company fuels creativity for all types of customers, from amateur social creators to freelance filmmakers and podcasters to the world’s largest agencies and major brands, like Microsoft, Pepsi, Netflix, Adobe, Fabletics, Bud Light, and more. Since its inception, Soundstripe has issued over 20 million content licenses from its diverse catalog of over 56,000 fully cleared audio tracks, as well as from its catalog of 90,000 sound effects and 100,000 video clips. The company is based in Nashville and its catalog is supported by a roster of award-winning musical artists, including heavy hitters like Sam Barsh (Doja Cat, The Weeknd, Kendrick Lamar), VAULTZ (Lorde, Maggie Rogers), and Elise Solberg (Beyonce, Ellie Goulding). Our culture blends the creative spirit of the music industry with the data-driven, performance mindset of a high-growth tech company. We thrive on innovation, agility, and driving results that matter. Soundstripe is a 6-time winner of the Tennessean’s Top Workplace Award and a certified Great Place to Work. Learn more about us here. We’re deeply AI-native as a company. It’s how we build and operate, and increasingly how our products work. We need a data leader who thinks in systems and sees AI as a force multiplier for data quality and velocity. If you’re looking for a role where you set the bar rather than inherit it, this is it.

Requirements

7+ years experience in data management role in a subscription/SaaS business
Proven experience in business intelligence, with a strong background in data analysis and visualization
Leadership experience with the ability to manage and grow a BI-focused team
Proficiency in SQL and familiarity with data warehousing and visualization technologies like Snowflake, Looker, DBT
Understanding of key business metrics and their impact on subscription and transactional models
Excellent communication skills, with the ability to translate complex data insights into actionable business strategies
Experience in data science and predictive analytics

Nice To Haves

Statistical background including model building experience a significant plus

Responsibilities

Own our data strategy. Lead the planning, prioritization and deployment of all data initiatives for the company, including dashboard development, ad hoc analysis and predictive analytics projects. This includes driving the vision of AI use within data
Drive analytics and insights by being a thought leader and authority for the company on trends of key business metrics (ie. LTV, CAC, ARR, ARPA, Churn, and AOV).
Maintain and establish analytical frameworks to support product, business and operational decision making.
Manage dashboards, reports, and visualizations using our data warehouse (Snowflake), transformation layer (DBT) and visualization solution (Looker)
Collaborate and provide thought leadership across departments (Marketing, Product, Engineering, Sales and Finance) to understand and support ongoing and new data requirements, driving data development projects and improvements
Conduct in-depth analysis of conversion rates in purchase funnels and subscriber churn, providing strategic recommendations for optimization.
Develop predictive models to identify trends or make connections between disparate data sources that yield insights to drive more informed decision making
Ensure data quality and governance: Build and maintain systems to ensure data accuracy, consistency, and reliability across the organization.