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Senior Data Analyst

2 months ago


Stockholm, Stockholm, Sweden Epidemic Sound Full time
About Epidemic Sound

We are a leading music tech company that makes soundtracking content simple and inspiring with unlimited access to music and sound effects. Our innovative licensing model paves the way for creators to use sound to enhance their content while supporting artists financially and creatively.

Job Summary:

We are seeking a Senior Data Scientist to join our Commercial Analytics team. As a key member of our team, you will be responsible for unlocking key insights to drive growth in our business.

Key Responsibilities:
  • Provide proactive guidance to senior stakeholders, including Product Managers, Marketing Managers, Senior Vice Presidents, and Chief Commercial Officer, to aid their decision-making.
  • Utilize your expertise in marketing and subscriptions to uncover insights and recommendations aimed at enhancing business growth.
  • Collaborate effectively with cross-functional teams skilled in data science, design, research, engineering, and marketing to drive complex projects that deliver tangible value.
  • Develop, document, and share best practices spanning various aspects of analytics, including code, visualization techniques, and version control, to ensure consistency and efficiency.
Requirements:
  • Proven ability to deconstruct projects into manageable components and lead them to successful completion, showcasing strong project management skills.
  • Marketing Analytics Expertise: Deep understanding of multi-touch attribution (MTA), marketing mix models (MMM), experimentation design, measurements frameworks, and the nuances of diminishing returns and incrementality.
  • Demonstrated proficiency in data analysis and visualization, with a focus on deriving and delivering actionable insights to inform business strategies.
  • Excellent communication and stakeholder management abilities to effectively convey findings and recommendations to diverse audiences.
  • A minimum of 7 years of prior experience as a data scientist working with marketing and knowledge subscriptions.
  • Proficiency in Python/R for data analysis and SQL for data querying and manipulation.
Preferred Qualifications:
  • Proficiency in tools such as Git, dbt, Looker, and BigQuery.
  • Sound understanding and hands-on experience with data engineering practices.
What We Offer:

We believe that bringing people together from different backgrounds, experiences, and perspectives makes for a healthy workplace, a more successful business, and a better world. We value diversity and encourage everyone to come and soundtrack the world with us.