Data Analyst

 Smule is on a mission to bring the world together through music. Music is much more than listening… it's about creating, sharing, discovering, participating, and connecting with people. With 50 million monthly active users creating over 20 million songs every day, Smule is connecting people all over the world through the joy of making music and transforming the music landscape from one of passive listening to collaborative creative expression and active engagement. If you see the world in numbers but have the soul of a musician, then come join us as the Senior Data Analyst for Smule! Here, you will have the opportunity to dig deep into all the ways we reach out into the world and spread our app for fun, for community and for music. Come solve significant business problems using the power of data, statistics and analytics. 

Role/Responsibilities

• Drive innovation by developing new methodologies, statistical techniques, and causal-inference approaches that could better inform the decision-making process.
• Partner with product, business and strategy teams to leverage this user understanding for product improvements and other initiatives
• Develop key metrics for measuring the success of product features and user experience.
• Applying various data science methods such as causal inference, experiments, machine learning, modeling, and forecasting to understand the most important aspects of our product, users, and business.
• Define data requirements and drive the development of data pipelines.
• Create advanced dashboards for product experiment tracking and business unit performance analysis using Tableau/Python/R
• The ability to clearly and effectively communicate the results of complex analysis to a broad audience

Requirements

• A quantitative degree in a field like Statistics, Economics, Mathematics, Operations Research, or Engineering.
• 5+ years of professional industry experience doing quantitative analysis. 
• Experience building metric frameworks to understand user behaviors.
• Expert in SQL, data collection and instrumentation, data modeling/transformation skill, and visualization/reporting knowledge.
• Deep experience in applied data analysis, including A/B testing and observational causal inference methods
• Experience with data mining, machine learning, statistical modeling tools and underlying algorithms
• Strong programming skills in Python or R
• Proven record in setting and executing analytic plans to meet business priorities
• Excellent verbal and written communication skills and the ability to convey technical principles to non-technical audiences

Preferred

• Advanced degrees in quantitative fields.
• Experience in mobile application and consumer software industry.
• Team player - frequent collaborations with teams across two office locations.
• Able to work in fast-paced start-up environments.
• Ready to have fun and experience the coolest mobile singing app!