Analyst, Commercial Analytics & Data Science

Who We Are: SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXM Connect) 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 SiriusXM Media, leverages its scale, cross‑platform sales organization and ad tech capabilities to deliver results for audio creators and advertisers. SiriusXM, through SiriusXM 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. The Pathways Program Is an early‑career development program designed for recent graduates of Historically Black Colleges and Universities (HBCUs). As a Pathways Associate, you will participate in a year‑long program focused on accelerating career advancement through mentorship, networking, and learning and development opportunities. Upon completion of the program, Pathways Alumni continue building their careers in their current roles as they Go Higher at SiriusXM. How you’ll make an impact: As a Pathways: Analyst, Commercial Analytics & Data Science, you’ll 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. Build automated monitoring systems, dashboards, and alerts to proactively detect issues in model scoring, runtime, cost, and output delivery, including: Ensuring model inputs/predictors are available and up‑to‑date for each scoring cycle. Verifying that models execute successfully and generate expected outputs. Monitoring downstream delivery of model scores (e.g., into Salesforce) to ensure seamless integration with customer journeys. Collaborate across CADS, Data Engineering, and MarTech teams to troubleshoot and resolve production issues rapidly, minimizing disruptions to marketing campaigns. Evaluate and integrate new data sources and design pipelines with proper documentation for feature engineering. What you’ll need: Must be a recent graduate from an accredited HBCU (Within the last 2 years, or expected to graduate by June 2026). Strong interest in marketing and a desire to learn about marketing analytics and data science. 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. Commitment to “internal client” and customer service principles. Understanding of 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 data visualization tools such as Tableau, Power BI or Databricks Apps. Familiarity with Git and/or Bitbucket. Experience with SQL and Python. Must have legal right to work in the U.S. Compensation & Benefits Base salary for this position is expected to be in the range of $75,000 to $95,900 and may be eligible for discretionary short‑term and long‑term incentives. Equal Opportunity Employer 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. #J-18808-Ljbffr AdsWizz