Who We Are: SiriusXM and its brands (Pandora,SXM Media, AdsWizz, Simplecast, and SiriusXM) are leading a new era of audio entertainment and services by delivering the most compelling subscription and ad-supported audio entertainment experience for listeners -- in the car, at home, and anywhere on the go with connected devices. Our vision is to shape the future of audio, where everyone can be effortlessly connected to the voices, stories and music they love wherever they are. This is the place where a diverse group of emerging talent and legends alike come to share authentic and purposeful songs, stories, sounds and insights through some of the best programming and technology in the world. Our critically-acclaimed, industry-leading audio entertainment encompasses music, sports, comedy, news, talk, live events, and podcasting. No matter their individual role, each of our employees plays a vital part in bringing SiriusXM’s vision to life every day. SiriusXM SiriusXM is the leading audio entertainment company in North America, and the premier programmer and platform for subscription and digital advertising-supported audio products. SiriusXM’s platforms collectively reach approximately 150 million listeners, the largest digital audio audience across paid and free tiers in North America, and deliver music, sports, talk, news, comedy, entertainment and podcasts. Pandora, a subsidiary of SiriusXM, is the largest ad-supported audio entertainment streaming service in the U.S. SiriusXM's subsidiaries Simplecast and AdsWizz make it a leader in podcast hosting, production, distribution, analytics and monetization. The Company’s advertising sales organization, which operates as SXM Media, leverages its scale, cross-platform sales organization and ad tech capabilities to deliver results for audio creators and advertisers. SiriusXM, through Sirius XM Canada Holdings, Inc., also offers satellite radio and audio entertainment in Canada. In addition to its audio entertainment businesses, SiriusXM offers connected vehicle services to automakers. How you’ll make an impact: This position will support the Commercial Analytics team with analytical, machine learning, and forecasting initiatives. These initiatives include developing and advancing internal data & machine learning products, working closely with marketing teams to analyze and interpret data, identify trends and insights, and support the development and implementation of marketing strategies. The ideal candidate will blend strong quantitative skills with a keen business analytics sense and exhibit strong problem solving and critical thinking skills. What you’ll do: Assist the Commercial Analytics team to implement A/B tests and create data-driven insights to continuously optimize business performance and subscriber outcomes. Assist in model development and other data products to support marketing decision making. Perform data extraction by querying databases to answer questions from marketers and provide insights for decision-making. Support creating automated Tableau/Databricks dashboards to monitor model performances and other analytics uses. Work closely with analytics team to create feature tables for Machine Learning along with documentation within Databricks. Support forecasting execution and analysis What you’ll need: Internships are open to current students enrolled at a university (those graduating by May 2027 are preferred) and recent graduates who graduated within the 12-month period prior to the start of the internship. Strong interest in marketing and a desire to learn about marketing analytics Excellent time management and attention to detail Excellent written and verbal communication skills Interpersonal skills and ability to interact and work with other staff Willingness to take initiative and to follow through on projects Ability to work independently and in a team environment Ability to pay attention to details and be organized Commitment to “internal client” and customer service principles Thorough knowledge of MS-Office and Google Suite (Outlook, Word, Excel, PowerPoint, Google Sheets, Google Slides) Experience with SQL, and Python Understanding of the Machine Learning including concepts such as preprocessing, feature engineering, and training models; and supervised machine learning models such as Logistic Regression, XGBoost, etc. Familiarity with cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), Databricks, and data visualization tools such as Tableau or Power BI Familiarity with Git and/or Bitbucket Must have legal right to work in the U.S. At SiriusXM, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. We expect the base salary for this position to be $15-20/hr and will depend on your skills, qualifications, and experience. We encourage all interested candidates to apply. Our goal at SiriusXM is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. SiriusXM is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws. The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice. R-2025-02-33