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Sr. Analyst, Marketing Sciences

Comcast

Philadelphia (Philadelphia County)

On-site

USD 92,000 - 157,000

Full time

30+ days ago

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Job summary

An established industry player seeks a Senior Analyst of Marketing Sciences to enhance marketing effectiveness through data science and strategic insights. In this pivotal role, you will collaborate with a dynamic team, leveraging your expertise in data analysis and marketing performance to drive innovation. Your contributions will shape the future of marketing strategies, making a significant impact on how the company connects with its customers. If you thrive in a fast-paced environment and are passionate about using data to inform decision-making, this opportunity is perfect for you.

Qualifications

  • Advanced knowledge in data science and marketing performance analysis.
  • Experience with statistical modeling techniques and data management.

Responsibilities

  • Assist in researching and creating marketing science services.
  • Collaborate on new models and services for marketing effectiveness.

Skills

Data Science
Teamwork
Marketing Science

Education

Bachelor's Degree in Statistics or Computer Science
Master's Degree in Data Science

Job description

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Join to apply for the Sr. Analyst, Marketing Sciences role at Comcast

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.

Job Summary

The Senior Analyst of Marketing Sciences will be a key member of the team, responsible for assisting the Director in researching and creating newer marketing science services, to drive enhanced marketing effectiveness and deeper insights of marketing performance. This position requires advanced knowledge in data science, besides marketing and data management. The Sr. Analyst must possess exceptional analytical skills, in addition to strategic thinking and problem-solving acumen. He / she must have a background in Data Science / Advanced Statistics, besides at least three years’ experience in working in marketing / media performance analysis and optimization. An ideal candidate should have worked in an innovation focused role, at the cross-section of data science, marketing and technology.

Job Description

Key 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.

Qualifications

  • Bachelor’s in Statistics or Computer Science. Preferred candidates will hold a master’s degree in Data Science.
  • Minimum 3 years of experience in marketing / media performance analysis, using appropriate modeling techniques.
  • Ideal candidate should possess 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
  • Candidates with experience in design of experiments, to establish causal relationships between media strategies and intended outcomes, will be preferred
  • A strategic thinker, with exceptional analytical acumen, in addition to problem-solving skills
  • Creative innovator, trained in marketing, data science and data management, who could communicate succinctly the big picture, besides the ‘why’, and the ‘how’ and the ‘when’ for major projects

Employees At All Levels Are Expected To

  • Understand our Operating Principles; make them the guidelines for how you do your job.
  • Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
  • Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
  • Win as a team make big things happen by working together and being open to new ideas.
  • Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
  • Drive results and growth.
  • Respect and promote inclusion & diversity.
  • Do what's right for each other, our customers, investors and our communities.

Disclaimer

  • This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

Skills

Data Science; Teamwork; Marketing Science

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education

Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Relevant Work Experience

5-7 Years

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Advertising and Marketing
  • Industries
    IT Services and IT Consulting, Technology, Information and Internet, and Telecommunications

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