Analyst, Commercial Analytics & Data Science

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.

• 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.

• Must have legal right to work in the U.S.