Comcast Sr. Analyst, Data Science Integration in Philadelphia, Pennsylvania

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Senior Analyst, Data Science Integration

The Senior Analyst, Data Science Integration is responsible for contributing to the development of data science products, projects, and initiatives in direct support of operational business objectives. This involves the integration of data science products, projects, or initiatives with other departments, including Marketing, Care, Finance, and Technology and Product. The Senior Analyst, Data Science Integration will join a growing team team of data scientists, data engineers, and software developers to create, operationalize, and support proprietary, advanced solutions that provide operational support, strategy, and execution based upon the collection, analysis, and modeling of company data. They will also be required to integrate Data Science into large-scale, coordinated work streams by defining requirements, coordinating and conducting the execution of data analysis and analytics, and integrating outputs into a robust framework. This will involve working closely with and influencing end stakeholders to ensure that operational plans are tightly aligned with business objectives, and will also involve the createive deployment of Comcast's wealth of data into products. This individual will lead with influence and may serve as the lead on specific tasks within larger projects.

Core Responsibilities:

- Participates in the development of data science products, projects, or initiatives directly in support of business operations and the integration of the Data Science Team through leveraging data mining, predictive analytics, and statistical analysis.

- Deploy technologies such as API's, software front-ends, and data visualizations to influence internal and external client teams to adopt, support, or integrate data science products, projects, or initiatives directly into operational systems and processes

- Participate in team to drive impactful change through the participation in work-streams of teams, both internal and external to the department.

- Creates actionable recommendations and insights to address business objectives through the ad-hoc analysis and modeling of quantitative and qualitative data.

- Leverage analytical methodologies to develop business and functional requirements, schedules, and programmatic materials in support of data science products, projects, or initiatives.

- Participates in data intake, extraction, and ingestion processes to align priorities and define clear requirements based upon business value.

- Consistent exercise of independent judgement 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.

- Travel up to 25%

Education Level:

BA/BS degree in data-driven disciplines such as economics, statistics, mathematics, or finance. MS/MA or MBA strongly preferred.

Years of Experience:

Generally requires 3 years of related job experience.


- Excellent presentation skills; ability to distill and present actionable information from complex research or analysis

- Persuasive with excellent verbal and writing skills. Relentlessly motivated when working with large and complex datasets. Naturally receptive to direct feedback and constructive criticism. Thrives in a collaborative team-oriented environment that is highly matrixed.

- Familiarity with the integration of data into operational processes through the use of RESTful API's and software applications.

- Knowledge of at least one analytics tool such as SAS, Python, or R.

- Knowledge of big data concepts, including Hadoop (hiveQL)

- Possesses a balance of general business knowledge, ability to work with multi-million record relational databases, analytical acumen, and presentation skills

- Strong problem solving and critical thinking skills

- Effective communication skills at multiple levels of the organization, including management and cross-functional groups

- Ability to grasp complex analytical principles and techniques

- Personal initiative to find opportunities and drive results working independently

- Strong skills in MS PowerPoint and Excel

- Strong SQL skills

- Proficiency in at least one analytical tool (e.g. SAS, R)

Comcast is an EOE/Veterans/Disabled/LGBT employer