Hybrid Telecom Data Analyst – TMT – Deep Sector

at FactSet

• Job title: Telecom Data Analyst – TMT – Deep Sector
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Python, SQL, Tableau
• Location requirements: Hybrid, London, United Kingdom

About the role

• Technology Data Analyst leading FactSet’s Telecom data offering by managing datasets and enhancing client workflows. Collaborating across teams to develop and execute a strategic roadmap.

Responsibilities

• 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.

Requirements

• Bachelor’s degree: Finance, Economics, Computer Science, Statistics, Engineering (Master’s preferred)
• 3-5 years of relevant experience minimum, ideally within the Telecom or broader TMT sectors with focus on Telecom
• 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.
• CFA/CPA designation or capital markets experience a plus

Benefits

• Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and companywide wellness days.
• Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives.
• A global community dedicated to volunteerism, sustainability, and inclusivity, where collaboration is always encouraged, and individuality drives solutions.
• Career progression plans with dedicated time each month for learning and development.
• Employee-led Business Resource Groups that align with our DE&I strategy and are wholly supported by Executive Management.