Media Data Analyst
- NEW YORK, NY, United States
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Job details
- Posting language
- English
- Posted
Original job description
FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant accessto financial data and analytics that investors use to make crucial decisions.At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients needs and exceeding their expectations.Your Team's ImpactDeep Sector Technology, Media, and Telecommunications (TMT) team is looking for a Media Data Analyst for FactSets Media data offering. Youll 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.What You'll DoResponsibilities: * 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 FactSets 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. * Develop and deliver compelling presentations and demos of our Media sector offeringsin person and virtuallyto both internal stakeholders and external 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 FactSets Technology offering. * Identify areas of opportunity where FactSet can own and operate data collection and reduce reliance on third-party data spend.What We're Looking ForRequirements: * Bachelors degree: Finance, Economics, Computer Science, Statistics, Engineering (Masters preferred) * 7+ years of relevant experience, within the Media or broader TMT sectors with focus on Media * 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 futureWhat's In It For Yo
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Skills
- Decision making
- Workflow
- Computer science
- Statistics
- Data analysis
- Microsoft Excel
- Microsoft Power BI
- Tableau
- SQL
- Python
- Machine learning
- AWS
- Amazon Redshift
- Microsoft Azure
- Databricks
- Snowflake
- Organizational skills
- Communication skills
- CFA
- CPA