Job Specifications
FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to 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 Impact
FactSet’s commitment to our clients, employees, shareholders, and communities is at the core of who we are. Our commitment to corporate citizenship is built into all aspects of our business. In each of our 48 global offices, one thing is clear: FactSetters worldwide have a passion for making an impact on our business and in our communities.
Deep Sector is FactSet’s strategic effort to collect new content, enhance existing fundamentals coverage, and roll out advanced reports and functionality across nine verticals: Banks, Insurance, Real Estate, Power & Utilities, TMT, Metals & Mining, Oil & Gas, Specialty Finance, and Healthcare. Deep Sector data goes beyond what’s available in public filings, providing granular, industry specific intelligence on public and private companies, assets, transactions, markets, news, and more
Job Description
Join the Deep Sector TMT team as the Technology Data Analyst for FactSet’s Technology data offering. You’ll help support the evolution of FactSet’s Technology data offering – maintaining and enhancing our existing Tech-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. In this role, you will be part of a team to develop and execute on a strategic roadmap for FactSet’s Technology sector offering.
What You'll Do
Data Management: Participate directly and indirectly in the extraction, cleaning, and transformation of large, complex datasets, ensuring accuracy, consistency, and timeliness.
Data Validation: 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
Client Engagement: Partner with sales/consulting, data providers, and clients across FactSet’s user base to understand their workflows, pain points, and feature requests; and to position our offering vs. their current needs and competitor solutions.
Requirement Definition: Translate qualitative and quantitative client insights into clear product requirements, specifications, and user stories that delight and exceed client expectations.
Cross-Functional Collaboration: Work closely with engineering, QA, UX, other content developers as well as specialized data teams to deliver value to clients.
Presentation & Training: Develop and deliver compelling presentations and
demos of FactSet’s Technology sector offerings—in person and virtually—to both internal stakeholders and external clients
Partnerships and Acquisition Opportunities: Actively monitor and the competitive landscape for data partnership or acquisition opportunities to strengthen FactSet’s Technology offering.
Team Development: Mentor and train team members in content collection and integration processes, product workflows, and best practices.
Data Ownership: Identify areas of opportunity where FactSet can own and operate data collection and reduce reliance on third-party data spend
Required Skills
What We're Looking For
Bachelor’s degree: Finance, Economics, Computer Science, Statistics, Engineering (Master’s preferred)
5 years of relevant experience minimum, ideally within the Technology or broader TMT sectors with focus on technology
Strong proficiency in data analysis, modelling, 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, Azure, Databricks, Snowflake)
Experience building dashboards and data visualizations (e.g., Tableau, Power BI or similar)
Exceptional 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
Desired Skills
CFA/CPA designation or capital markets experience a plus
What's In It For You
At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means:
Contributing to a firm with over 40 year