> Markdown version of [/jobs/ext/4523913-senior-media-analyst](https://www.wearedevelopers.com/jobs/ext/4523913-senior-media-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Media Analyst - **Company:** Factset Research Systems Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $104,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** FactSet, Microsoft Excel, Application Programming Interfaces (APIs), Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Microsoft Azure, Data Files, Data Mining, Data Visualization, Distributed Data Store, Python (Programming Language), Machine Learning, Power BI, SQL Databases, Tableau (Software), Snowflake, Information Technology, Amazon Redshift, Databricks - **Published:** November 2, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-media-analyst-new-york-ny--65802c09-7d01-45a9-b961-9ae812f2fb45 ## About the Role Analysis Skills, Financial Analysis, Data Sets, Telecommunications, Data Analysis, Application Programming Interface (API), Vendor/Supplier Selection, Entertainment and Media, Time Management, Data Quality, * Bachelor's degree: Finance, Economics, Computer Science, Statistics, Engineering (Master's preferred) * 5+ years of relevant experience, within the Media or broader TMT sectors with focus on Media required * Strong proficiency in data analysis, modeling, and visualization tools (e.g., Excel, Power BI/Tableau, SQL, Python) for data extraction, transformation, analysis, and workflow automation * Hands-on experience preparing data for statistical and machine learning models. * Familiarity with distributed data systems and cloud platforms (any of AWS S3/EC2/Redshift, Azure, Databricks, Snowflake) * Experience building dashboards and data visualizations (e.g., Tableau, Power BI, or similar) * Demonstrated analytical, quantitative, and organizational skills with the ability to synthesize complex data into clear insights * Solid written and verbal communication skills, including the ability to translate data findings into actionable business narratives * Proven ability to manage multiple projects and shifting priorities in a dynamic environment * Team-oriented mindset with a hands-on, solution-driven approach * CFA/CPA designation or capital markets experience a plus * Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future ## Description Deep Sector Technology, Media, and Telecommunications (TMT) team is looking for a Media Data Analyst for FactSet's Media data offering. You'll lead the evolution of our Media data offering - maintaining and enhancing our existing Media-sector datasets, integrating new sources into our client-facing applications, data feeds and APIs, and translating client workflows into best-in-class product features and workflow solutions., * Participate directly and indirectly in the extraction, cleaning, and transformation of large, complex datasets, ensuring accuracy, consistency, and timeliness. * Take control of our data products, utilizing human-in-the-loop data curation and validation software to ensure our products evolve with changing standards and reporting requirements, while also delivering timely, accurate and complete products * Partner with sales/consulting, data providers, and clients across FactSet's user base to understand their workflows, pain points, and feature requests; position our offering vs. their current needs and competitor solutions. * Translate qualitative and quantitative client insights into clear product requirements, specifications, and user stories that delight and exceed client expectations. * Work closely with engineering, QA, UX, other content developers as well as specialized data teams to deliver value to clients. * Mentor and train team members in content collection and integration processes, product workflows, and best practices. * Actively monitor and the competitive landscape for data partnership or acquisition opportunities to strengthen FactSet's Media offering. * Identify areas of opportunity where FactSet can own and operate data collection and reduce reliance on third-party data spend.