Sirius XM Radio Inc. Forecasting Manager, Marketing Analytics in New York, New York

Requisition ID


Job Title

Forecasting Manager, Marketing Analytics


District Of Columbia



Type of Position


Job Description

Location: Washington, D.C. or New York, NY

Position Summary:

Responsible for developing non-digital touch attribution model and forecasting expected by channel and touch.

Duties and Responsibilities:

  • Develop multi-touch attribution logic for conversions across direct mail, email and outbound telemarketing touches.

  • Identify tools/model to develop attribution logic.

  • Develop daily forecasting model for expected conversions by touch and channel for each business line based on attribution logic and expected timing of conversions of marketing campaigns.

  • Ensure data is properly stored and structured so that analysis can be performed in a timely and efficient matter.

  • Develop dynamic tools that provide visibility into forecast variance from actuals on a daily basis by business line, by channel and by touch.

  • Segment data to facilitate understanding of which customers are responding to which touches and proactively analyze data to determine what those segments should be and how to incorporate into forecasting to enhance accuracy.

  • Responsible for providing 3-6 month outlook on expected cohort performance and reconcile daily conversions forecast with expected cohort performance.

  • Outlook updated bi-weekly.

  • Provide explanation (and quantify) of outlook changes from prior view & from budget by:

  • Cohort specific variables, e.g. vehicle mix, demographic changes etc.

  • Data issues, e.g. delay in starting trials etc.

  • Marketing strategy changes e.g. offer strategy changes, etc.

  • Other causes.

  • Maintain repository of marketing initiatives and operational changes and calculate expected impact on future conversions.

  • Lead ad-hoc analysis of trial population to help identify opportunities for improvement.

Supervisory Responsibilities:

  • None.

Minimum Qualifications:

  • Bachelor's degree in economics, statistics, data analytics, modeling, mathematics, computer science or other quantitative fieldscience or equivalent, relevant experience. Master's degree or MBA preferred.

  • 5-10 years of experience in marketing analytics or modeling and prior experience with developing attribution logic.

Requirements and General Skills:

  • Ability to pay attention to details and be organized.

  • Ability to work independently and in a team environment.

  • Good public speaking and presentation skills.

  • Interpersonal skills and ability to interact and work with staff at all levels.

  • Excellent written and verbal communication skills.

  • Ability to project professionalism over the phone and in person.

  • Commitment to "internal client" and customer service principles.

  • Willingness to take initiative and to follow through on projects.

  • Excellent time management skills, with the ability to prioritize and multi-task, and work under shifting deadlines in a fast-paced environment.

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

Technical Skills:

  • Knowledge of statistical packages (such as R, SAS).

  • Knowledge of SQL.

  • Strong Excel skills.

  • Thorough knowledge of MS-Office Suite (Word, Excel, PowerPoint).

As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.

The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice.

Company EEO Statement

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.