Comcast
media and technology
Analyst,EnterpriseAnalytics
Neural analysis suggests this role is
optimal for Mid candidates.
“Analyst, Enterprise Analytics at Comcast. Skills: Data Science, predictive models, in-depth analysis, data-centric questions, actionable intelligence. Leveraging data science to extract insights from complex datasets and drive business innovation. Crafting predictive models”
What You'll Achieve.
drive business innovation; derive actionable insights from big data; inform and optimize business processes; Drive results and growth
Industry & Context.
address data-centric questions; address complex business challenges
Must be able to work nights and weekends, variable schedule(s) as necessary, This position is ineligible for visa sponsorship, To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future
What They're Looking For.
Must Have
Master's Degree, 2-5 Years, legally authorized to work in the United States and not require sponsorship for employment now or in the future
Nice to Have
PhD preferred, specific ML framework experience, cloud platform certs
What You'll Do.
Leveraging data science to extract insights from complex datasets and drive business innovation
Crafting predictive models
Performing in-depth analysis
Addressing data-centric questions
Transforming data into actionable intelligence
Defining data analysis problems
Designing experiments
Engineering software solutions and algorithms for data cleansing
Utilizing advanced statistical methods and machine learning to derive actionable insights from big data
Implementing statistical and mathematical models to address complex business challenges
Constructing data mining frameworks
Conducting trend analysis for strategic decision-making
Analyzing complex datasets to identify historical patterns in customer and product behaviors
Building predictive models to forecast customer actions and guide business planning
Synthesizing findings from data science research to inform and optimize business processes
Presenting data-driven insights and recommendations through clear
comprehensive deliverables
How You'll Work.
Team & Collaboration
Collaborating with cross-functional teams to define data analysis problems and design experiments; Collaborating with teams to address data-centric questions; Win as a team make big things happen by working together and being open to new ideas
Communication Scope
Presenting data-driven insights and recommendations through clear, comprehensive deliverables
Full Job Description
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** This job is centered on leveraging data science to extract insights from complex datasets and drive business innovation. It involves crafting predictive models, performing in-depth analysis, and collaborating with teams to address data-centric questions. The role supports strategic initiatives by transforming data into actionable intelligence within a structured guidance framework. **Job Description** **Responsibilities:** * Collaborating with cross-functional teams to define data analysis problems and design experiments * Engineering software solutions and algorithms for data cleansing, integration, and analysis * Utilizing advanced statistical methods and machine learning to derive actionable insights from big data * Implementing statistical and mathematical models to address complex business challenges * Constructing data mining frameworks and conducting trend analysis for strategic decision-making * Analyzing complex datasets to identify historical patterns in customer and product behaviors * Building predictive models to forecast customer actions and guide business planning * Synthesizing findings from data science research to inform and optimize business processes * Presenting data-driven insights and recommendations through clear, comprehensive deliverables * Co
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