Analyst, Commercial Analytics & Data Science Job at SiriusXM (New York)

Job Description

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.

Job Responsibility

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

Requirements

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.

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Analyst, Commercial Analytics & Data Science

Job Description

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