Malcolm Mccabe Email & Phone Number
Who is Malcolm Mccabe? Overview
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Malcolm Mccabe is listed as Subscriber Analytics Manager, Monetization at The New York Times, a with 1 employees, based in Charlotte, North Carolina, United States. AeroLeads shows a matched LinkedIn profile for Malcolm Mccabe.
Malcolm Mccabe previously worked as Senior Analyst, Subscriber Data and Analytics at The New York Times and Forensic Data Analytics Senior Consultant at Ey. Malcolm Mccabe holds Master Of Science - Ms, Data Science from The University Of Texas At Austin.
Email format at The New York Times
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About Malcolm Mccabe
I am currently a Senior Analyst at The New York Times within the Data & Insights Group. My focus is primarily on developing pipelines used for subscriber and revenue analysis as well as Wall Street reporting. My efforts have contributed to improved data quality, lower costs, and analytical scalability. Prior to joining the New York Times, I was a Senior Consultant at EY focused on analyzing and deriving insights from client-provided data, primarily in the Financial Services, Pharmaceuticals and Public sectors. I also hold a Bachelor's Degree in Economics and Data Science from Davidson College where I was also a Division I scholar athlete and am currently pursuing my Master's of Science in Data Science at the University of Texas, further increasing my analytical toolkit. My technical proficiencies include:• ETL and data quality automation (Alteryx, Apache Airflow, dbt, Monte Carlo) • Technical data coding (Python, SQL)• Advanced data science techniques (Clustering, Regression, Times Series Analysis)• Data visualization (Power BI, Tableau)On my own time, I like to post articles related to Sports, Economics, Statistics, and Music - https://medium.com/@malcolmmccabe
Listed skills include Python, Microsoft Office, Teamwork, Microsoft Excel, and 5 others.
Malcolm Mccabe's current company
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Malcolm Mccabe work experience
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Senior Analyst, Subscriber Data And Analytics
• Defined the enterprise-wide 'Promotional Jumper' criteria, identifying subscribers capitalizing on lower offers and revealing potential annual savings of $36M• Led the organization’s transition to dbt, developing best practices and conducting training sessions to ensure adoption and expertise across teams• Built and optimized the organization’s semantic layer for subscription and subscriber data in dbt, enhancing analytics and achieving a 75% reduction in compute time• Collaborated with data engineers to migrate from legacy systems and automate User Acceptance Testing using Python, reducing testing time from hours to minutes
Forensic Data Analytics Senior Consultant
• Supported multiple large healthcare systems in completing FEMA’s Streamlined Project Application to recover funds (valued at $5.0 million) for additional supplies, labor, and other costs as well as revenue loss as a result of the COVID-19 pandemic in addition to predicting anticipated workload and costs for select patients using scikit-learn• Developed an automation tool for a Fortune 500 Financial Services client using Microsoft Excel and SQL Server in remediating calculations with those observed by a third-party, decreasing calculation time by 66%• Engineered and executed 10+ end-to-end ETL pipelines within an in-house cloud computing environment across several engagements in the Pharmaceuticals and Public sector to deliver a centralized warehouse of data sets from various sources, enabling users to perform analytics at scale• Performed creation and optimization of Python script for automating forecast reports of payroll activity for union members of a client within the Consumer Goods industry, minimizing time from hours to minutes
Forensic Data Analytics Consultant
• Help the organization create and obtain value from their data and intelligence assets through a range of services and technologies• Create solutions that ingest data from a wide range of sources and formats to provide value through analysis, reporting, insights and cognitive services that learn automatically, to recommend actions, automate processes and take decisions to achieve a goal• Design, build and operate architectures, infrastructures and integration solutions that support the lifecycle management of company data assets, from acquisition to trusted consumption and monetization• Articulate information strategies that enable business transformation through value of data and trusted intelligence at scale
Data Analytics Teaching Assistant
The Data Analytics & Visualization course offered by the University of Central Florida provides students with an in-depth knowledge of various concepts such as Machine Learning, Web Scraping, ETL, and Data Visualization using several tools such as Python, SQL Databases, R, and Tableau. As a teaching assistant, my responsibilities included: • Facilitating discussions in breakout rooms• Diagnosing and troubleshooting code developed by students• Guiding and assisting students in assignments • Providing practical examples of analytical concepts used in field
Forensic & Integrity Services Intern
• Worked on multiple client engagement teams that assisted in performing fraud analytics and forensic investigations• Developed tutorials for EY Virtual, a forensic data analytics platform designed to support the needs of a wide variety of risk management applications
Colleagues at The New York Times
Other employees you can reach at nytimes.com. View company contacts for 1 employees →
Rachel M.L. Dixon
Colleague at The New York TimesNew York, United States
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David Fahrenthold
Colleague at The New York TimesWashington, District Of Columbia, United States
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Adrian Perez
Colleague at The New York TimesQueens, New York, United States
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Mathilde Tanon
Colleague at The New York TimesNew York, United States
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Sana Sambe
Colleague at The New York TimesNew York, United States
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Ariese Piersol
Colleague at The New York TimesSterling, Virginia, United States
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Kathy Y.
Colleague at The New York TimesBrooklyn, New York, United States
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Bianca Quintana
Colleague at The New York TimesNew York City Metropolitan Area, United States
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Paul Baez
Colleague at The New York TimesNew York City Metropolitan Area, United States
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Judy W. Tieh
Colleague at The New York TimesBerkeley, California, United States
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Malcolm Mccabe education
Master Of Science - Ms, Data Science
Bachelor Of Arts - Ba, Economics, Data Science
Frequently asked questions about Malcolm Mccabe
Quick answers generated from the profile data available on this page.
What company does Malcolm Mccabe work for?
Malcolm Mccabe works for The New York Times.
What is Malcolm Mccabe's role at The New York Times?
Malcolm Mccabe is listed as Subscriber Analytics Manager, Monetization at The New York Times.
Where is Malcolm Mccabe based?
Malcolm Mccabe is based in Charlotte, North Carolina, United States while working with The New York Times.
What companies has Malcolm Mccabe worked for?
Malcolm Mccabe has worked for The New York Times, Ey, and University Of Central Florida.
Who are Malcolm Mccabe's colleagues at The New York Times?
Malcolm Mccabe's colleagues at The New York Times include Rachel M.L. Dixon, David Fahrenthold, Adrian Perez, Mathilde Tanon, and Sana Sambe.
How can I contact Malcolm Mccabe?
You can use AeroLeads to view verified contact signals for Malcolm Mccabe at The New York Times, including work email, phone, and LinkedIn data when available.
What schools did Malcolm Mccabe attend?
Malcolm Mccabe holds Master Of Science - Ms, Data Science from The University Of Texas At Austin.
What skills is Malcolm Mccabe known for?
Malcolm Mccabe is listed with skills including Python, Microsoft Office, Teamwork, Microsoft Excel, German, Public Speaking, Natural Language Understanding, and Basic Financial Modeling And Valuation.
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