Summer Internship, Data Analysis in Royalties Analytics & Data - Accounting

New York, NY

Applications have closed
Spotify logo

Spotify

We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!

View all employer listings

Our Team: The Royalties Analytics & Data team at Spotify provides support to Finance & Accounting teams through data insights, automation solutions, and ad-hoc reporting. We help to communicate technical and business requirements between internal and external stakeholders and serve as subject matter experts for accounting data. Above all, your work will impact the way the world experiences music.

What you'll do

  • Work with a cross-functional team of data analysts, engineers, and accountants to maintain and develop systems and processes to support accurate financial reporting
  • Work with large data sets, solving complex problems in a fast-paced and dynamic environment 
  • Partner with accounting team members to define requirements for ad-hoc data analysis and reporting, being able to work independently and as a team to propose and implement solutions
  • Drive process efficiencies through automation and delivery of data pipelines to enable self-service reporting and analytics
  • Work in an environment with a group of highly motivated individuals who are passionate about Spotify’s success

Who you are

  • A current undergraduate pursuing a Bachelor’s degree in mathematics, statistics, computer science, economics, or another quantitative discipline and planning to graduate in Winter 2022 or Spring 2023
  • You currently have valid work authorization to work in the country in which this role is based that will extend from June to August 2022
  • You have basic technical competence to perform analytics over large data sets with knowledge of Python, SQL, and/or other analytic tools (e.g. Pandas, R, SPSS, Bigquery, SAS) and visualization packages (e.g. Tableau, Qliksense, D3)
  • You have an interest in solving complex problems through data analysis and a desire to understand the business and financial aspects of those challenges
  • You’re motivated to learn about the intersection of technical and non-technical teams
  • You’re curious about trends within data and how to best visualize findings via dashboards or other methodologies
  • You’re detail-oriented and looking to enhance your skills in presenting meaningful conclusions that inform business decisions

Where you'll be

  • We are a distributed workforce enabling our band members to find a work mode that is best for them!
  • Where in the world? For this role, it can be within the Americas region in which we have a work location
  • For this role, you can choose to either work from home or from one of our office locations
  • Working hours? We operate within the EST time zone for collaboration
Our paid summer internships last for 10-13 weeks and start at the beginning of June. The last day to apply is Thursday, January 27, 2022 at 4:59 PM EST.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 381 million users.
This position is not eligible to be performed in Colorado.

Tags: BigQuery Data analysis Data pipelines Economics Finance Pandas Pipelines Python R SAS SQL Statistics Streaming Tableau

Perks/benefits: Startup environment

Region: North America
Country: United States
Job stats:  39  16  1
Category: Analyst Jobs

Other jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.