Role: Business Intelligence Consultant
Location: NYC, NY (Can be remote)
Rate: Market Rate
A little bit about team:
As a Business Intelligence consultant, you would be instrumental in aiding teams build out reusable models, reporting, and analysis in various parts of the business. You will work closely with finance and A&R teams to create reusable tools to enhance the intelligence and speed of our deals. You will also work with the business operations team to supplement report and analysis creation.
This is a global role that will sit within the central team but work across multiple verticals to solve problems and bring value. You will work with a dynamic team and growing team looking for ways to move faster and smarter. You will work to translate how music consumption patterns relate to revenue, create and track meaningful operational metrics, and more
Here you’ll get to:
Work with finance and business development teams to create revenue & consumption modeling tools for teams around the world to evaluate potential new music deals
Work with our operations teams to investigate data issues
Work with the executive and commercial teams to provide supplemental insights and analyses that provide recommendations to our clients and internal teams
Liaise with the data science and analytics team to take advantage of advanced data modeling and workflows
Solicit feedback and synthesize requirements to accurately prioritize requests and provide timely deliverables to business users
About you:
You have data analysis and data science experience with a focus on creating usable and creative models and tools
You are comfortable working independently, scraping data sets and translating qualitative feedback from teams into a useful and functional set of data tools
You have demonstrably strong analytical skills and problem-solving ability; portfolio of relevant work appreciated
You are a SQL expert, able to combine data sets from multiple sources, Python or R proficiency strongly preferred
Knowledge of data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery)
Knowledge of machine learning concepts and libraries (e.g., scikit-learn, TensorFlow) for predictive modeling
Experience with API integration and development
Knowledge of statistical analysis and A/B testing methodologies
Familiarity with music industry data sources and metrics (e.g., streaming platforms, chart data)
You enjoy being an independent operator who can employ critical thinking and problem solving, but knows how to use the resources at their disposal to get the job done
It would be music to our ears if you also had:
A passion for music, with a working knowledge of the current consumption landscape
Experience working in the music distribution space
Experience with dashboarding, BI tools, and data visualization a plus