Comcast · 14 hours ago
Sr. Analyst, Strategic Analytics-0683
PA - Philadelphia, 1701 John F Kennedy Blvd
Full-time
Hybrid
Mid, Senior Level
2+ years expComcast is a Fortune 50 leader in media and technology, dedicated to innovation and creating exceptional entertainment experiences. The Sr. Analyst in Strategic Analytics will leverage data to provide insights that support decision-making, utilizing machine learning techniques and statistical analysis to drive data-driven strategies.
InternetTelecommunicationsTVVideoWeb Hosting
Responsibilities
Leverage internal and external data to provide insights and information which supports a facts-based decision-making process
Analyze data for trends, correlations, underlying causes, and drivers using analysis tools including Excel, Python, Tableau, R, and similar analysis tools
Use R and Python to apply machine learning techniques including Linear Regression, Classification and Regression Tree, Random Forest, XGBoost, Neural Network, Clustering algorithms, and Natural Language Processing
Identify opportunities to conduct statistical analysis or apply machine learning techniques, in conjunction with internal or external stakeholders, to drive data-driven decision making
Prepare and present documents summarizing findings, insights, and actions from statistical analysis or machine learning to enable data-driven machine learning
Use R and Python to perform statistical analysis using techniques including Match Pairing, Causal Inference, and A/B test design
Use programming and database languages including SQL, Python, Scala, R, and PySpark
Use the following libraries for joining large, disparate datasets, feature engineering, and modeling: Pandas, Scikit-learn, Dplyr, and similar libraries
Visualize data using the following: Tableau, ggplot2, and Matplotlib
Interpret problems and handle short-term tasks using existing procedures and frameworks
Provide solutions to business problems by leveraging data analysis, data mining, optimization tools, machine learning techniques, and statistical methods
Work with large, noisy, and complex datasets to producing meaningful analysis of historical patterns of customer behaviors and product performance
Apply scientific techniques to data evaluation, performing statistical inference and data mining
Use analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools, and machine learning techniques and statistics (e.g., predictive models, LTV, propensity models)
Build customer-centric models and optimization tools to support large-scale projects that utilize online and offline data, structured and unstructured data, set-top box data, and media, behavioral, and attitudinal data
Research and implement algorithms and data structures for our platform
Work closely with data warehouse architects and software developers to generate seamless data science solutions for deployment
Document and present the data analysis and its conclusions for assessment by full-performance analysts, developers, and their managers
Interact with product and service teams to identify questions and issues for data analysis and experiments
Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources
Qualification
Required
Bachelor's degree, or foreign equivalent, in Computer Science, any Engineering, or related technical field
two (2) years of experience analyzing data for trends, correlations, underlying causes, and drivers using analysis tools including any of the following: Excel, Python, Tableau, R, or similar analysis tools
using R or Python to apply machine learning techniques including Linear Regression, Classification and Regression Tree, Random Forest, XGBoost, and Clustering algorithms
identifying opportunities to conduct statistical analysis or apply machine learning techniques, in conjunction with internal or external stakeholders, to drive data-driven decision making
preparing and presenting documents summarizing findings, insights, and actions from statistical analysis or machine learning to enable data-driven machine learning
using R or Python to perform statistical analysis using techniques including Match Pairing, Causal Inference, or A/B test design
using programming and database languages including SQL, Python, Scala, R, or PySpark
using any of the following libraries for joining large, disparate datasets, feature engineering, and modeling: Pandas, Scikit-learn, Dplyr, or a similar library
one (1) year experience includes visualizing data using any of the following: Tableau, ggplot2, or Matplotlib
using R or Python to apply Natural Language Processing
Company
Comcast
Comcast is a media and technology company that provides broadband internet, mobile services, and entertainment platforms. It is a sub-organization of SkyShowtime.
10001+ employees
H1B Sponsorship
Comcast has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (705)
2024 (561)
2023 (624)
2022 (750)
2021 (588)
2020 (583)
Funding
Current Stage
Public CompanyTotal Funding
$4.92BKey Investors
California Public Utilities CommissionMassachussetts Broadband InstituteMaine Connectivity Authority
2025-11-13Grant· $3.2M
2024-07-02Grant· $2.69M
2023-04-24Grant· $0.28M
Leadership Team
Neil Smit
President and Chief Executive Officer
Candy Lawson
SVP, Chief Compliance Officer and Senior Deputy General Counsel
Recent News
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