
11 - 50 employees
Founded 1982
📱 Media
Media • Technology
PCMag is a leading authority on technology, delivering lab-based, independent reviews of the latest products and services. It provides expert industry analysis and practical solutions to help consumers and businesses make better buying decisions and to get more from technology. PCMag covers a wide range of technology-related topics including reviews of electronics, software, services, and other tech products. It also offers advice and tips on a variety of tech and consumer-related issues.
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11 - 50 employees
Founded 1982
📱 Media
Media • Technology
PCMag is a leading authority on technology, delivering lab-based, independent reviews of the latest products and services. It provides expert industry analysis and practical solutions to help consumers and businesses make better buying decisions and to get more from technology. PCMag covers a wide range of technology-related topics including reviews of electronics, software, services, and other tech products. It also offers advice and tips on a variety of tech and consumer-related issues.
• Modernize data extraction, automation, and presentation. • Lead meetings to align data across business dependencies. • Connect cloud data platforms with advanced language models using APIs. • Develop Looker Explores and dashboards using LookML. • Build actionable reports for Editorial, Sales, and Finance. • Implement validation and monitoring frameworks for data accuracy. • Collaborate with Editorial and SEO teams to enhance content monetization. • Train the analytics team on generative AI tools and database connectors.
• 3-5 years of hands-on experience in business intelligence, data analytics, or a highly consultative data role. • Proficiency in SQL and BI tools. • Direct experience utilizing AI to automate workflows. • Excellent skills in Excel (advanced modeling, pivots, complex formulas). • Strong background in modern BI platforms (Looker, Tableau, Power BI). • Exceptional communication and storytelling skills. • Preferred: Bachelor’s degree in Data Analytics, Business, Economics, Information Systems, or a related field.
• Comprehensive medical, dental, and vision coverage • Life and disability benefits • Flexible Spending Accounts (FSAs) • 401(k) with company match • Employee Stock Purchase Plan • Flexible Time Off • Volunteer Time Off • Paid holidays • Family building and caregiving support • Generous Family Care and Parental leave • Fitness Reimbursement • Access to wellness programs
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