Sr. Analyst – Marketing Sciences
| Company | Comcast |
|---|---|
| Location | Philadelphia, PA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- Bachelor’s in Statistics or Computer Science
- Minimum 3 years of experience in marketing / media performance analysis, using appropriate modeling techniques
- Advanced knowledge in data science, including linear, logistics, multinomial regressions, clustering, k-nearest neighbor (KNN), decision tree, gradient boosting, random forest etc.
- Hands on experience in marketing / media mix modeling would be highly preferred
- Extensive exposure in cross-channel marketing / media performance analysis, with in-depth knowledge on media tactics, buying processes and currencies, states of media data and the challenges
- Experience in design of experiments, to establish causal relationships between media strategies and intended outcomes
- A strategic thinker, with exceptional analytical acumen, in addition to problem-solving skills
- Creative innovator, trained in marketing, data science and data management
Responsibilities
- Plays a key role in the marketing sciences team to understand and audit the existing performance analysis, modeling, scenario planning and optimization services
- Research on the state of the industry and assist in discovering advance capabilities among marketing science service providers, to identify gaps
- Investigate potential business need for such, or related, services among the internal teams
- Collaborate in ideation of newer models and services
- Contribute to managing the capability evaluation of eligible vendors, to identify and shortlist contenders for pilot projects
- Manage the project timeline and deliverables of innovation projects, besides summarizing findings in succinct presentations, suitable to senior management
- Partner with the Director to advance the marketing science practice, by evolving the marketing mix models and creating newer models by working with partner agencies
- Work closely with the modeling agencies to define the scope of new projects, set up the data collection process, audit input data, model results and create actionable insights
- Consistent exercise of independent judgment and discretion in matters of significance
- Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary
- Other duties and responsibilities as assigned
Preferred Qualifications
- Preferred candidates will hold a master’s degree in Data Science
- Hands on experience in marketing / media mix modeling would be highly preferred
- Candidates with experience in design of experiments, to establish causal relationships between media strategies and intended outcomes, will be preferred